Advances and challenges in drug design against dental caries: Application of in silico approaches

Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted ant...

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Veröffentlicht in:Journal of pharmaceutical analysis Jg. 15; H. 6; S. 101161 - 13
Hauptverfasser: Chen, Zhongxin, Zhao, Xinyao, Zheng, Hanyu, Wang, Yufei, Zhang, Linglin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: China Elsevier B.V 01.06.2025
Xi'an Jiaotong University, Journal of Pharmaceutical Analysis
Xi'an Jiaotong University
Elsevier
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ISSN:2095-1779, 2214-0883, 2214-0883
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Abstract Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design. [Display omitted] •Specific methods and models with CADD and AIDD are comprehensively summarized.•The design of single- and multi-target drugs against Streptococcus mutans are detailed.•The current limitations of targeted anti-caries drug design were discussed.
AbstractList Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional antivirulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and Al-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (Agl/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.
Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of , such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.
Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design. [Display omitted] •Specific methods and models with CADD and AIDD are comprehensively summarized.•The design of single- and multi-target drugs against Streptococcus mutans are detailed.•The current limitations of targeted anti-caries drug design were discussed.
Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design. Image 1 •Specific methods and models with CADD and AIDD are comprehensively summarized.•The design of single- and multi-target drugs against Streptococcus mutans are detailed.•The current limitations of targeted anti-caries drug design were discussed.
Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.
Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic bacteria, especially Streptococcus mutans, because of its acidogenic, aciduric, and biofilm-forming capabilities. Developing novel targeted anti-virulence agents is always a focal point in caries control to overcome the limitations of conventional anti-virulence agents. The current study represents an up-to-date review of in silico approaches of drug design against dental caries, which have emerged more and more powerful complementary to biochemical attempts. Firstly, we categorize the in silico approaches into computer-aided drug design (CADD) and AI-assisted drug design (AIDD) and highlight the specific methods and models they contain respectively. Subsequently, we detail the design of anti-virulence drugs targeting single or multiple cariogenic virulence targets of S. mutans, such as glucosyltransferases (Gtfs), antigen I/II (AgI/II), sortase A (SrtA), the VicRK signal transduction system and superoxide dismutases (SODs). Finally, we outline the current opportunities and challenges encountered in this field to aid future endeavors and applications of CADD and AIDD in anti-virulence drug design.
ArticleNumber 101161
Author Wang, Yufei
Zhang, Linglin
Chen, Zhongxin
Zheng, Hanyu
Zhao, Xinyao
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  orcidid: 0000-0001-8895-1908
  surname: Chen
  fullname: Chen, Zhongxin
  organization: State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China
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  givenname: Xinyao
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  givenname: Hanyu
  surname: Zheng
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  organization: State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China
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  givenname: Linglin
  surname: Zhang
  fullname: Zhang, Linglin
  email: zhanglinglin@scu.edu.cn
  organization: State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China
BackLink https://www.ncbi.nlm.nih.gov/pubmed/40678483$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1007/s12272-015-0640-5
10.1016/j.drudis.2020.07.005
10.1016/j.drudis.2021.11.023
10.3390/ph15050646
10.1177/0022034520979798
10.3390/ijms22010377
10.3389/fphar.2024.1331062
10.1039/C5CC01816A
10.1016/j.drudis.2024.104024
10.1186/s12906-023-03928-7
10.1038/s41573-019-0050-3
10.1016/j.jdent.2018.12.017
10.1111/jcpe.12687
10.1038/s41551-023-01034-0
10.1080/07391102.2023.2166118
10.1016/j.drudis.2017.08.010
10.1001/jama.2023.21984
10.1111/j.1365-2958.2005.04495.x
10.3390/ijms22105212
10.3389/fphar.2020.00733
10.1111/omi.12388
10.1016/j.ejps.2022.106324
10.1186/s13568-021-01333-2
10.1021/acsinfecdis.2c00189
10.3389/fchem.2020.00343
10.9734/jpri/2021/v33i50B33438
10.3389/fpubh.2022.916878
10.1016/j.abb.2019.06.003
10.1007/s10822-022-00442-9
10.1016/j.drudis.2023.103516
10.3390/molecules28031324
10.3390/molecules25204723
10.1128/spectrum.00782-22
10.1080/07391102.2023.2283155
10.3402/jom.v8.31095
10.3390/molecules27134169
10.1002/cbdv.202301659
10.21775/cimb.032.167
10.1021/acs.jcim.0c00675
10.3389/fphar.2022.864412
10.1093/toxsci/kfs095
10.1080/20002297.2023.2225257
10.1080/20002297.2017.1344509
10.1007/s11030-021-10217-3
10.1016/j.fmre.2024.02.011
10.1016/j.ejmech.2021.113705
10.3390/molecules200713384
10.1111/j.1753-4887.1998.tb01670.x
10.1002/anie.202317901
10.1016/j.tips.2019.06.004
10.3390/molecules27041455
10.1016/j.sbi.2023.102537
10.1016/j.cmpb.2021.106454
10.3390/molecules25092232
10.1128/AAC.00251-20
10.1016/j.cellimm.2018.08.008
10.3390/pharmaceutics15041260
10.1016/j.tibs.2021.06.008
10.1159/000528057
10.1007/s12275-019-8545-5
10.1111/omi.12114
10.1159/000344014
10.1021/acs.jcim.5b00229
10.1093/bib/bbac359
10.1016/S0140-6736(16)31678-6
10.1371/journal.pone.0121176
10.1038/s41551-022-00991-2
10.1159/000506468
10.1038/s41551-021-00689-x
10.1093/bib/bbab430
10.1186/1758-2946-3-32
10.1007/s40572-020-00270-9
10.1021/acs.jmedchem.4c01345
10.1038/ijos.2016.58
10.1016/j.ijantimicag.2015.03.015
10.1016/j.drudis.2023.103665
10.1016/j.csbj.2021.08.011
10.1016/j.compbiomed.2021.104851
10.1093/nar/gkad1004
10.1128/AAC.00919-15
10.1111/febs.15158
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Keywords Dental caries
Sortase A
Computer-aided drug design
Antigen I/II
Glucosyltransferases
Streptococcus mutans
AI-Assisted drug design
Language English
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References Ishiguro, Mayanagi, Azumi (bib11) 2019; 84
Wang, Zeng, Feng (bib15) 2022; 56
Tran, Tayara, Chong (bib20) 2023; 15
Gangwal, Ansari, Ahmad (bib48) 2024; 15
Fujita, Winkler (bib56) 2016; 56
Bitoun, Wen (bib86) 2016; 31
Vemula, Jayasurya, Sushmitha (bib31) 2023; 181
Zhao, Ciallella, Aleksunes (bib80) 2020; 25
Rodríguez-Pérez, Bajorath (bib41) 2022; 36
Maia, Assis, de Oliveira (bib36) 2020; 8
Schneider, Walters, Plowright (bib40) 2020; 19
Salmanli, Tatar Yilmaz, Tuzuner (bib70) 2021; 212
Chen, Cui, Cui (bib66) 2021; 11
Lee, Celik, Logsdon (bib53) 2018; 9
Orsi, Shing Loh, Weng (bib46) 2024; 63
Wang, Long, Yang (bib75) 2021; 100
Zhang, Nijampatnam, Hua (bib22) 2017; 7
Jakubovics, Strömberg, van Dolleweerd (bib62) 2005; 55
Hasan, Alsaiari, Fakhurji (bib19) 2022; 27
Lapirattanakul, Nomura, Okawa (bib88) 2020; 54
Vijayan, Kihlberg, Cross (bib23) 2022; 27
Younis, Taj, Rashid (bib67) 2019; 671
Park, Raka, Hui (bib77) 2023; 23
He, Liang, Kang (bib1) 2022; 10
Yu, Ma, Li (bib6) 2023; 38
Chang, Hawkins, Du (bib55) 2023; 15
Cheng, Xu, Zhou (bib5) 2023; 16
Liao, Brandt, Li (bib10) 2017; 9
Dorahy, Chen, Balle (bib25) 2023; 28
Ismail, Pitts, Tellez (bib8) 2015; 15 Suppl 1
Sabe, Ntombela, Jhamba (bib28) 2021; 224
Malik, Kim (bib68) 2019; 57
Chittrarasu, Ahamed, Sivakumar (bib63) 2021
(bib2) 2016; 388
Vázquez, López, Gibert (bib37) 2020; 25
Pennington, Hesse, Koester (bib84) 2024; 67
Shaker, Ahmad, Lee (bib21) 2021; 137
Ferreira, Dos Santos, Oliva (bib35) 2015; 20
Ren, Chen, Li (bib58) 2016; 8
Jukič, Bren (bib24) 2022; 13
Rusyn, Sedykh, Low (bib33) 2012; 127
Yoshida, Niki, Yamamoto (bib87) 2015; 10
Jin (bib7) 2023; 330
Cerchia, Roscetto, Nasso (bib78) 2022; 11
Srivastava, Flora (bib57) 2020; 7
Zrelovs, Kurbatska, Rudevica (bib4) 2021; 10
Zhang, Nguyen, McMichael (bib85) 2015; 46
Jepsen, Blanco, Buchalla (bib9) 2017; 44
Mughal, Bell, Mughal (bib42) 2022; 8
Cerchia, Lavecchia (bib39) 2023; 28
Wu, Liu, Zhang (bib49) 2024; 4
Xiong, Zhu, Li (bib89) 2022; 10
Robertson, Meyerowitz, Skiniotis (bib34) 2022; 47
Rivière, Peng, Brotgandel (bib65) 2020; 287
Niu, Wang, Zheng (bib14) 2020; 64
Das, Sercu, Wadhawan (bib54) 2021; 5
Bravo (bib71) 1998; 56
Niu, Lin (bib29) 2023; 28
Luukkonen, van den Maagdenberg, Emmerich (bib17) 2023; 79
Gupta, Srivastava, Sahu (bib51) 2021; 25
Liang, Liu, Kang (bib43) 2022; 23
Rivera-Quiroga, Cardona, Padilla (bib64) 2020; 22
Irwin, Tang, Young (bib82) 2020; 60
Domon-Tawaraya, Nakajo, Washio (bib12) 2013; 47
Zdrazil, Felix, Hunter (bib83) 2024; 52
Atta, Khalil, Khan (bib60) 2022; 27
Bai, Xu, Huang (bib50) 2024; 29
Henrique Santana Silveira, Pita (bib76) 2023; 41
Macalino, Gosu, Hong (bib30) 2015; 38
Huang, Xu, Xue (bib47) 2023; 7
Bolton, Chen, Kim (bib81) 2011; 3
Li, Wang, Jiang (bib16) 2022; 12
Wallock-Richards, Marles-Wright, Clarke (bib72) 2015; 51
Chan, Shan, Dahoun (bib18) 2019; 40
Ren, Cui, Zeng (bib59) 2015; 60
Carracedo-Reboredo, Liñares-Blanco, Rodríguez-Fernández (bib44) 2021; 19
Giordano, Biancaniello, Argenio (bib27) 2022; 15
Zhang, Tan, Han (bib45) 2017; 22
Cui, Aouidate, Wang (bib26) 2020; 11
Luo, Liang, Bao (bib69) 2017; 9
Zheng, Jing, Gong (bib3) 2023; 15
Bak (bib32) 2021; 22
Cross, Ruhl (bib61) 2018; 333
Tatar Yilmaz, Yayli, Tüzüner (bib73) 2024; 21
Castillo Pedraza, de Oliveira Fratucelli, Ribeiro (bib13) 2020; 25
Sangavi, Muthumanickam, Malligarjunan (bib79) 2025; 43
Janizek, Dincer, Celik (bib52) 2023; 7
Deng, Yang, Ojima (bib38) 2022; 23
Lei, Long, Yang (bib74) 2019; 32
Niu (10.1016/j.jpha.2024.101161_bib14) 2020; 64
Zheng (10.1016/j.jpha.2024.101161_bib3) 2023; 15
Malik (10.1016/j.jpha.2024.101161_bib68) 2019; 57
Lapirattanakul (10.1016/j.jpha.2024.101161_bib88) 2020; 54
Zdrazil (10.1016/j.jpha.2024.101161_bib83) 2024; 52
Chan (10.1016/j.jpha.2024.101161_bib18) 2019; 40
Janizek (10.1016/j.jpha.2024.101161_bib52) 2023; 7
Maia (10.1016/j.jpha.2024.101161_bib36) 2020; 8
Lee (10.1016/j.jpha.2024.101161_bib53) 2018; 9
Deng (10.1016/j.jpha.2024.101161_bib38) 2022; 23
Dorahy (10.1016/j.jpha.2024.101161_bib25) 2023; 28
Macalino (10.1016/j.jpha.2024.101161_bib30) 2015; 38
Srivastava (10.1016/j.jpha.2024.101161_bib57) 2020; 7
Chittrarasu (10.1016/j.jpha.2024.101161_bib63) 2021
Cerchia (10.1016/j.jpha.2024.101161_bib78) 2022; 11
Tatar Yilmaz (10.1016/j.jpha.2024.101161_bib73) 2024; 21
Rivera-Quiroga (10.1016/j.jpha.2024.101161_bib64) 2020; 22
Wallock-Richards (10.1016/j.jpha.2024.101161_bib72) 2015; 51
Cross (10.1016/j.jpha.2024.101161_bib61) 2018; 333
Bravo (10.1016/j.jpha.2024.101161_bib71) 1998; 56
He (10.1016/j.jpha.2024.101161_bib1) 2022; 10
Ismail (10.1016/j.jpha.2024.101161_bib8) 2015; 15 Suppl 1
Cheng (10.1016/j.jpha.2024.101161_bib5) 2023; 16
Luukkonen (10.1016/j.jpha.2024.101161_bib17) 2023; 79
Vemula (10.1016/j.jpha.2024.101161_bib31) 2023; 181
Huang (10.1016/j.jpha.2024.101161_bib47) 2023; 7
Chang (10.1016/j.jpha.2024.101161_bib55) 2023; 15
Ishiguro (10.1016/j.jpha.2024.101161_bib11) 2019; 84
Zhang (10.1016/j.jpha.2024.101161_bib45) 2017; 22
Cui (10.1016/j.jpha.2024.101161_bib26) 2020; 11
Domon-Tawaraya (10.1016/j.jpha.2024.101161_bib12) 2013; 47
Orsi (10.1016/j.jpha.2024.101161_bib46) 2024; 63
Gupta (10.1016/j.jpha.2024.101161_bib51) 2021; 25
Hasan (10.1016/j.jpha.2024.101161_bib19) 2022; 27
Li (10.1016/j.jpha.2024.101161_bib16) 2022; 12
Ren (10.1016/j.jpha.2024.101161_bib59) 2015; 60
Henrique Santana Silveira (10.1016/j.jpha.2024.101161_bib76) 2023; 41
Salmanli (10.1016/j.jpha.2024.101161_bib70) 2021; 212
Sangavi (10.1016/j.jpha.2024.101161_bib79) 2025; 43
Bitoun (10.1016/j.jpha.2024.101161_bib86) 2016; 31
(10.1016/j.jpha.2024.101161_bib2) 2016; 388
Carracedo-Reboredo (10.1016/j.jpha.2024.101161_bib44) 2021; 19
Yu (10.1016/j.jpha.2024.101161_bib6) 2023; 38
Jakubovics (10.1016/j.jpha.2024.101161_bib62) 2005; 55
Jepsen (10.1016/j.jpha.2024.101161_bib9) 2017; 44
Bak (10.1016/j.jpha.2024.101161_bib32) 2021; 22
Schneider (10.1016/j.jpha.2024.101161_bib40) 2020; 19
Xiong (10.1016/j.jpha.2024.101161_bib89) 2022; 10
Zhang (10.1016/j.jpha.2024.101161_bib22) 2017; 7
Zrelovs (10.1016/j.jpha.2024.101161_bib4) 2021; 10
Pennington (10.1016/j.jpha.2024.101161_bib84) 2024; 67
Younis (10.1016/j.jpha.2024.101161_bib67) 2019; 671
Park (10.1016/j.jpha.2024.101161_bib77) 2023; 23
Wu (10.1016/j.jpha.2024.101161_bib49) 2024; 4
Yoshida (10.1016/j.jpha.2024.101161_bib87) 2015; 10
Tran (10.1016/j.jpha.2024.101161_bib20) 2023; 15
Chen (10.1016/j.jpha.2024.101161_bib66) 2021; 11
Shaker (10.1016/j.jpha.2024.101161_bib21) 2021; 137
Atta (10.1016/j.jpha.2024.101161_bib60) 2022; 27
Giordano (10.1016/j.jpha.2024.101161_bib27) 2022; 15
Zhao (10.1016/j.jpha.2024.101161_bib80) 2020; 25
Gangwal (10.1016/j.jpha.2024.101161_bib48) 2024; 15
Robertson (10.1016/j.jpha.2024.101161_bib34) 2022; 47
Wang (10.1016/j.jpha.2024.101161_bib15) 2022; 56
Ren (10.1016/j.jpha.2024.101161_bib58) 2016; 8
Zhang (10.1016/j.jpha.2024.101161_bib85) 2015; 46
Bolton (10.1016/j.jpha.2024.101161_bib81) 2011; 3
Rusyn (10.1016/j.jpha.2024.101161_bib33) 2012; 127
Irwin (10.1016/j.jpha.2024.101161_bib82) 2020; 60
Niu (10.1016/j.jpha.2024.101161_bib29) 2023; 28
Vázquez (10.1016/j.jpha.2024.101161_bib37) 2020; 25
Fujita (10.1016/j.jpha.2024.101161_bib56) 2016; 56
Rivière (10.1016/j.jpha.2024.101161_bib65) 2020; 287
Lei (10.1016/j.jpha.2024.101161_bib74) 2019; 32
Liao (10.1016/j.jpha.2024.101161_bib10) 2017; 9
Mughal (10.1016/j.jpha.2024.101161_bib42) 2022; 8
Das (10.1016/j.jpha.2024.101161_bib54) 2021; 5
Jin (10.1016/j.jpha.2024.101161_bib7) 2023; 330
Castillo Pedraza (10.1016/j.jpha.2024.101161_bib13) 2020; 25
Luo (10.1016/j.jpha.2024.101161_bib69) 2017; 9
Jukič (10.1016/j.jpha.2024.101161_bib24) 2022; 13
Vijayan (10.1016/j.jpha.2024.101161_bib23) 2022; 27
Rodríguez-Pérez (10.1016/j.jpha.2024.101161_bib41) 2022; 36
Cerchia (10.1016/j.jpha.2024.101161_bib39) 2023; 28
Bai (10.1016/j.jpha.2024.101161_bib50) 2024; 29
Sabe (10.1016/j.jpha.2024.101161_bib28) 2021; 224
Liang (10.1016/j.jpha.2024.101161_bib43) 2022; 23
Wang (10.1016/j.jpha.2024.101161_bib75) 2021; 100
Ferreira (10.1016/j.jpha.2024.101161_bib35) 2015; 20
References_xml – volume: 23
  year: 2023
  ident: bib77
  article-title: Six Spain Thymus essential oils composition analysis and their
  publication-title: BMC Complement. Med. Ther.
– volume: 56
  start-page: 317
  year: 1998
  end-page: 333
  ident: bib71
  article-title: Polyphenols: Chemistry, dietary sources, metabolism, and nutritional significance
  publication-title: Nutr. Rev.
– volume: 12
  year: 2022
  ident: bib16
  article-title: Investigation of drug resistance of caries-related streptococci to antimicrobial peptide GH12
  publication-title: Front. Cell. Infect. Microbiol.
– volume: 64
  year: 2020
  ident: bib14
  article-title: Antibacterial effect of caffeic acid phenethyl ester on cariogenic bacteria and
  publication-title: Antimicrob. Agents Chemother.
– volume: 13
  year: 2022
  ident: bib24
  article-title: Machine learning in antibacterial drug design
  publication-title: Front. Pharmacol.
– volume: 15
  year: 2023
  ident: bib3
  article-title: Regulatory mechanisms of exopolysaccharide synthesis and biofilm formation in
  publication-title: J. Oral Microbiol.
– volume: 5
  start-page: 613
  year: 2021
  end-page: 623
  ident: bib54
  article-title: Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
  publication-title: Nat. Biomed. Eng.
– volume: 15
  year: 2023
  ident: bib55
  article-title: A guide to
  publication-title: Pharmaceutics
– volume: 28
  year: 2023
  ident: bib25
  article-title: Computer-aided drug design towards new psychotropic and neurological drugs
  publication-title: Molecules
– volume: 46
  start-page: 174
  year: 2015
  end-page: 182
  ident: bib85
  article-title: New small-molecule inhibitors of dihydrofolate reductase inhibit
  publication-title: Int. J. Antimicrob. Agents
– volume: 22
  year: 2020
  ident: bib64
  article-title: selection and
  publication-title: Int. J. Mol. Sci.
– volume: 10
  year: 2021
  ident: bib4
  article-title: Sorting out the superbugs: Potential of sortase A inhibitors among other antimicrobial strategies to tackle the problem of antibiotic resistance
  publication-title: Antibiotics (Basel)
– volume: 224
  year: 2021
  ident: bib28
  article-title: Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review
  publication-title: Eur. J. Med. Chem.
– volume: 4
  start-page: 715
  year: 2024
  end-page: 737
  ident: bib49
  article-title: A review of deep learning methods for ligand based drug virtual screening
  publication-title: Fundam. Res.
– volume: 44
  start-page: S85
  year: 2017
  end-page: S93
  ident: bib9
  article-title: Prevention and control of dental caries and periodontal diseases at individual and population level: Consensus report of group 3 of joint EFP/ORCA workshop on the boundaries between caries and periodontal diseases
  publication-title: J. Clin. Periodontol.
– volume: 11
  year: 2020
  ident: bib26
  article-title: Discovering anti-cancer drugs via computational methods
  publication-title: Front. Pharmacol.
– volume: 79
  year: 2023
  ident: bib17
  article-title: Artificial intelligence in multi-objective drug design
  publication-title: Curr. Opin. Struct. Biol.
– volume: 40
  start-page: 592
  year: 2019
  end-page: 604
  ident: bib18
  article-title: Advancing drug discovery via artificial intelligence
  publication-title: Trends Pharmacol. Sci.
– volume: 287
  start-page: 2597
  year: 2020
  end-page: 2611
  ident: bib65
  article-title: Characterization of an intermolecular quaternary interaction between discrete segments of the
  publication-title: FEBS J.
– volume: 21
  year: 2024
  ident: bib73
  article-title: Synthesis, antimicrobial activities, and molecular modeling studies of agents for the sortase A enzyme
  publication-title: Chem. Biodivers.
– volume: 100
  start-page: 631
  year: 2021
  end-page: 638
  ident: bib75
  article-title: Dissecting the role of VicK phosphatase in aggregation and biofilm formation of
  publication-title: J. Dent. Res.
– volume: 10
  year: 2022
  ident: bib89
  article-title: The arginine biosynthesis pathway of
  publication-title: Microbiol. Spectr.
– volume: 23
  year: 2022
  ident: bib43
  article-title: Large-scale comparison of machine learning algorithms for target prediction of natural products
  publication-title: Brief. Bioinform.
– volume: 52
  start-page: D1180
  year: 2024
  end-page: D1192
  ident: bib83
  article-title: The ChEMBL database in 2023: A drug discovery platform spanning multiple bioactivity data types and time periods
  publication-title: Nucleic Acids Res.
– volume: 28
  year: 2023
  ident: bib29
  article-title: Advances of computer-aided drug design (CADD) in the development of anti-Azheimer’s-disease drugs
  publication-title: Drug Discov. Today
– volume: 47
  start-page: 124
  year: 2022
  end-page: 135
  ident: bib34
  article-title: Drug discovery in the era of cryo-electron microscopy
  publication-title: Trends Biochem. Sci.
– volume: 9
  start-page: 53
  year: 2017
  end-page: 62
  ident: bib69
  article-title: identification of potential inhibitors targeting
  publication-title: Int. J. Oral Sci.
– volume: 8
  year: 2020
  ident: bib36
  article-title: Structure-based virtual screening: From classical to artificial intelligence
  publication-title: Front. Chem.
– volume: 36
  start-page: 355
  year: 2022
  end-page: 362
  ident: bib41
  article-title: Evolution of support vector machine and regression modeling in chemoinformatics and drug discovery
  publication-title: J. Comput. Aided Mol. Des.
– volume: 27
  year: 2022
  ident: bib60
  article-title: Virtual screening, synthesis and biological evaluation of
  publication-title: Molecules
– volume: 41
  start-page: 12000
  year: 2023
  end-page: 12015
  ident: bib76
  article-title: Druggable sites identification in
  publication-title: J. Biomol. Struct. Dyn.
– volume: 25
  year: 2020
  ident: bib13
  article-title: Modulation of lipoteichoic acids and exopolysaccharides prevents
  publication-title: Molecules
– volume: 38
  start-page: 1
  year: 2023
  end-page: 8
  ident: bib6
  article-title: Molecular and regulatory mechanisms of oxidative stress adaptation in
  publication-title: Mol. Oral Microbiol.
– volume: 16
  year: 2023
  ident: bib5
  article-title: Oxidative stress response: A critical factor affecting the ecological competitiveness of
  publication-title: J. Oral Microbiol.
– volume: 25
  start-page: 1624
  year: 2020
  end-page: 1638
  ident: bib80
  article-title: Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling
  publication-title: Drug Discov. Today
– volume: 11
  year: 2022
  ident: bib78
  article-title: identification of novel inhibitors targeting the homodimeric interface of superoxide dismutase from the dental pathogen
  publication-title: Antioxidants (Basel)
– volume: 10
  year: 2015
  ident: bib87
  article-title: Proteome analysis identifies the Dpr protein of
  publication-title: PLoS One
– volume: 11
  year: 2021
  ident: bib66
  article-title: Small molecule targeting amyloid fibrils inhibits
  publication-title: AMB Express
– volume: 55
  start-page: 1591
  year: 2005
  end-page: 1605
  ident: bib62
  article-title: Differential binding specificities of oral streptococcal antigen I/II family adhesins for human or bacterial ligands
  publication-title: Mol. Microbiol.
– volume: 27
  year: 2022
  ident: bib19
  article-title: Application of mathematical modeling and computational tools in the modern drug design and development process
  publication-title: Molecules
– volume: 10
  year: 2022
  ident: bib1
  article-title: Subgroup detection-based dental caries status and inequalities trend exploration: A nationwide, 10-year-repeated cross-sectional study
  publication-title: Front. Public Health
– volume: 27
  start-page: 967
  year: 2022
  end-page: 984
  ident: bib23
  article-title: Enhancing preclinical drug discovery with artificial intelligence
  publication-title: Drug Discov. Today
– volume: 60
  start-page: 6065
  year: 2020
  end-page: 6073
  ident: bib82
  article-title: ZINC20-a free ultralarge-scale chemical database for ligand discovery
  publication-title: J. Chem. Inf. Model.
– volume: 54
  start-page: 194
  year: 2020
  end-page: 204
  ident: bib88
  article-title: Oral lactobacilli related to caries status of children with primary dentition
  publication-title: Caries Res.
– volume: 212
  year: 2021
  ident: bib70
  article-title: Investigation of the antimicrobial activities of various antimicrobial agents on
  publication-title: Comput. Methods Programs Biomed.
– volume: 8
  start-page: 1553
  year: 2022
  end-page: 1562
  ident: bib42
  article-title: Random forest model predictions afford dual-stage antimalarial agents
  publication-title: ACS Infect. Dis.
– volume: 28
  year: 2023
  ident: bib39
  article-title: New avenues in artificial-intelligence-assisted drug discovery
  publication-title: Drug Discov. Today
– volume: 333
  start-page: 19
  year: 2018
  end-page: 33
  ident: bib61
  article-title: Glycan recognition at the saliva-oral microbiome interface
  publication-title: Cell. Immunol.
– volume: 7
  start-page: 140
  year: 2020
  end-page: 146
  ident: bib57
  article-title: Fluoride in drinking water and skeletal fluorosis: A review of the global impact
  publication-title: Curr. Environ. Health Rep.
– volume: 23
  year: 2022
  ident: bib38
  article-title: Artificial intelligence in drug discovery: Applications and techniques
  publication-title: Brief. Bioinform.
– volume: 9
  year: 2018
  ident: bib53
  article-title: A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
  publication-title: Nat. Commun.
– volume: 15
  year: 2023
  ident: bib20
  article-title: Artificial intelligence in drug metabolism and excretion prediction: Recent advances, challenges, and future perspectives
  publication-title: Pharmaceutics
– volume: 19
  start-page: 353
  year: 2020
  end-page: 364
  ident: bib40
  article-title: Rethinking drug design in the artificial intelligence era
  publication-title: Nat. Rev. Drug Discov.
– volume: 47
  start-page: 141
  year: 2013
  end-page: 149
  ident: bib12
  article-title: Divalent cations enhance fluoride binding to
  publication-title: Caries Res.
– volume: 57
  start-page: 431
  year: 2019
  end-page: 443
  ident: bib68
  article-title: A comprehensive
  publication-title: J. Microbiol.
– volume: 127
  start-page: 1
  year: 2012
  end-page: 9
  ident: bib33
  article-title: Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data
  publication-title: Toxicol. Sci.
– volume: 7
  year: 2017
  ident: bib22
  article-title: Structure-based discovery of small molecule inhibitors of cariogenic virulence
  publication-title: Sci. Rep.
– volume: 32
  start-page: 167
  year: 2019
  end-page: 200
  ident: bib74
  article-title: The VicRK two-component system regulates
  publication-title: Curr. Issues Mol. Biol.
– volume: 7
  start-page: 797
  year: 2023
  end-page: 810
  ident: bib47
  article-title: Identification of potent antimicrobial peptides via a machine-learning pipeline that mines the entire space of peptide sequences
  publication-title: Nat. Biomed. Eng.
– volume: 19
  start-page: 4538
  year: 2021
  end-page: 4558
  ident: bib44
  article-title: A review on machine learning approaches and trends in drug discovery
  publication-title: Comput. Struct. Biotechnol. J.
– volume: 15 Suppl 1
  year: 2015
  ident: bib8
  article-title: The international caries classification and management system (ICCMS™) an example of a caries management pathway
  publication-title: BMC Oral Health
– volume: 25
  start-page: 1315
  year: 2021
  end-page: 1360
  ident: bib51
  article-title: Artificial intelligence to deep learning: Machine intelligence approach for drug discovery
  publication-title: Mol. Divers.
– volume: 15
  year: 2024
  ident: bib48
  article-title: Generative artificial intelligence in drug discovery: Basic framework, recent advances, challenges, and opportunities
  publication-title: Front. Pharmacol.
– volume: 9
  year: 2017
  ident: bib10
  article-title: Fluoride resistance in
  publication-title: J. Oral Microbiol.
– volume: 56
  start-page: 269
  year: 2016
  end-page: 274
  ident: bib56
  article-title: Understanding the roles of the “two QSARs”
  publication-title: J. Chem. Inf. Model.
– volume: 3
  year: 2011
  ident: bib81
  article-title: PubChem3D: A new resource for scientists
  publication-title: J. Cheminform.
– volume: 67
  start-page: 11452
  year: 2024
  end-page: 11458
  ident: bib84
  article-title: Property-based drug design merits a Nobel prize
  publication-title: J. Med. Chem.
– volume: 56
  start-page: 524
  year: 2022
  end-page: 534
  ident: bib15
  article-title: Combined treatment with fluoride and antimicrobial peptide GH12 efficiently controls caries
  publication-title: Caries Res.
– volume: 25
  year: 2020
  ident: bib37
  article-title: Merging ligand-based and structure-based methods in drug discovery: An overview of combined virtual screening approaches
  publication-title: Molecules
– volume: 43
  start-page: 611
  year: 2025
  end-page: 626
  ident: bib79
  article-title: analysis unravels the promising anticariogenic efficacy of fatty acids against dental caries causing
  publication-title: J. Biomol. Struct. Dyn.
– volume: 38
  start-page: 1686
  year: 2015
  end-page: 1701
  ident: bib30
  article-title: Role of computer-aided drug design in modern drug discovery
  publication-title: Arch. Pharm. Res.
– volume: 181
  year: 2023
  ident: bib31
  article-title: CADD, AI and ML in drug discovery: A comprehensive review
  publication-title: Eur. J. Pharm. Sci.
– volume: 7
  start-page: 811
  year: 2023
  end-page: 829
  ident: bib52
  article-title: Uncovering expression signatures of synergistic drug responses via ensembles of explainable machine-learning models
  publication-title: Nat. Biomed. Eng.
– volume: 137
  year: 2021
  ident: bib21
  article-title: methods and tools for drug discovery
  publication-title: Comput. Biol. Med.
– volume: 8
  year: 2016
  ident: bib58
  article-title: Inhibition of
  publication-title: J. Oral Microbiol.
– volume: 388
  start-page: 1545
  year: 2016
  end-page: 1602
  ident: bib2
  article-title: Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: A systematic analysis for the Global Burden of Disease Study 2015
  publication-title: Lancet
– volume: 63
  year: 2024
  ident: bib46
  article-title: Using machine learning to predict the antibacterial activity of ruthenium complexes
  publication-title: Angew. Chem. Int. Ed. Engl.
– volume: 29
  year: 2024
  ident: bib50
  article-title: Geometric deep learning methods and applications in 3D structure-based drug design
  publication-title: Drug Discov. Today
– volume: 15
  year: 2022
  ident: bib27
  article-title: Drug design by pharmacophore and virtual screening approach
  publication-title: Pharmaceuticals (Basel)
– volume: 22
  start-page: 1680
  year: 2017
  end-page: 1685
  ident: bib45
  article-title: From machine learning to deep learning: Progress in machine intelligence for rational drug discovery
  publication-title: Drug Discov. Today
– volume: 60
  start-page: 126
  year: 2015
  end-page: 135
  ident: bib59
  article-title: Molecule targeting glucosyltransferase inhibits
  publication-title: Antimicrob. Agents Chemother.
– volume: 22
  year: 2021
  ident: bib32
  article-title: Two decades of 4D-QSAR: A dying art or staging a comeback?
  publication-title: Int. J. Mol. Sci.
– volume: 51
  start-page: 10483
  year: 2015
  end-page: 10485
  ident: bib72
  article-title: Molecular basis of
  publication-title: Chem. Commun. (Camb)
– volume: 31
  start-page: 115
  year: 2016
  end-page: 124
  ident: bib86
  article-title: Transcription factor Rex in regulation of pathophysiology in oral pathogens, Mol
  publication-title: Oral Microbiol.
– volume: 330
  year: 2023
  ident: bib7
  article-title: Dental caries in adults, adolescents, and children
  publication-title: JAMA
– volume: 20
  start-page: 13384
  year: 2015
  end-page: 13421
  ident: bib35
  article-title: Molecular docking and structure-based drug design strategies
  publication-title: Molecules
– volume: 671
  start-page: 87
  year: 2019
  end-page: 102
  ident: bib67
  article-title: Structural studies of
  publication-title: Arch. Biochem. Biophys.
– start-page: 148
  year: 2021
  end-page: 160
  ident: bib63
  article-title: identification of potential inhibitor targeting
  publication-title: J. Pharm. Res. Int.
– volume: 84
  start-page: 30
  year: 2019
  end-page: 35
  ident: bib11
  article-title: Sodium fluoride and silver diamine fluoride-coated tooth surfaces inhibit bacterial acid production at the bacteria/tooth interface
  publication-title: J. Dent.
– volume: 38
  start-page: 1686
  year: 2015
  ident: 10.1016/j.jpha.2024.101161_bib30
  article-title: Role of computer-aided drug design in modern drug discovery
  publication-title: Arch. Pharm. Res.
  doi: 10.1007/s12272-015-0640-5
– volume: 25
  start-page: 1624
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib80
  article-title: Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling
  publication-title: Drug Discov. Today
  doi: 10.1016/j.drudis.2020.07.005
– volume: 27
  start-page: 967
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib23
  article-title: Enhancing preclinical drug discovery with artificial intelligence
  publication-title: Drug Discov. Today
  doi: 10.1016/j.drudis.2021.11.023
– volume: 15
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib27
  article-title: Drug design by pharmacophore and virtual screening approach
  publication-title: Pharmaceuticals (Basel)
  doi: 10.3390/ph15050646
– volume: 100
  start-page: 631
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib75
  article-title: Dissecting the role of VicK phosphatase in aggregation and biofilm formation of Streptococcus mutans
  publication-title: J. Dent. Res.
  doi: 10.1177/0022034520979798
– volume: 22
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib64
  article-title: In silico selection and in vitro evaluation of new molecules that inhibit the adhesion of Streptococcus mutants through antigen I/II
  publication-title: Int. J. Mol. Sci.
  doi: 10.3390/ijms22010377
– volume: 15
  year: 2024
  ident: 10.1016/j.jpha.2024.101161_bib48
  article-title: Generative artificial intelligence in drug discovery: Basic framework, recent advances, challenges, and opportunities
  publication-title: Front. Pharmacol.
  doi: 10.3389/fphar.2024.1331062
– volume: 51
  start-page: 10483
  year: 2015
  ident: 10.1016/j.jpha.2024.101161_bib72
  article-title: Molecular basis of Streptococcus mutans sortase A inhibition by the flavonoid natural product trans-Chalcone
  publication-title: Chem. Commun. (Camb)
  doi: 10.1039/C5CC01816A
– volume: 15 Suppl 1
  year: 2015
  ident: 10.1016/j.jpha.2024.101161_bib8
  article-title: The international caries classification and management system (ICCMS™) an example of a caries management pathway
  publication-title: BMC Oral Health
– volume: 12
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib16
  article-title: Investigation of drug resistance of caries-related streptococci to antimicrobial peptide GH12
  publication-title: Front. Cell. Infect. Microbiol.
– volume: 29
  year: 2024
  ident: 10.1016/j.jpha.2024.101161_bib50
  article-title: Geometric deep learning methods and applications in 3D structure-based drug design
  publication-title: Drug Discov. Today
  doi: 10.1016/j.drudis.2024.104024
– volume: 23
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib77
  article-title: Six Spain Thymus essential oils composition analysis and their in vitro and in silico study against Streptococcus mutans
  publication-title: BMC Complement. Med. Ther.
  doi: 10.1186/s12906-023-03928-7
– volume: 19
  start-page: 353
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib40
  article-title: Rethinking drug design in the artificial intelligence era
  publication-title: Nat. Rev. Drug Discov.
  doi: 10.1038/s41573-019-0050-3
– volume: 84
  start-page: 30
  year: 2019
  ident: 10.1016/j.jpha.2024.101161_bib11
  article-title: Sodium fluoride and silver diamine fluoride-coated tooth surfaces inhibit bacterial acid production at the bacteria/tooth interface
  publication-title: J. Dent.
  doi: 10.1016/j.jdent.2018.12.017
– volume: 44
  start-page: S85
  year: 2017
  ident: 10.1016/j.jpha.2024.101161_bib9
  article-title: Prevention and control of dental caries and periodontal diseases at individual and population level: Consensus report of group 3 of joint EFP/ORCA workshop on the boundaries between caries and periodontal diseases
  publication-title: J. Clin. Periodontol.
  doi: 10.1111/jcpe.12687
– volume: 7
  start-page: 811
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib52
  article-title: Uncovering expression signatures of synergistic drug responses via ensembles of explainable machine-learning models
  publication-title: Nat. Biomed. Eng.
  doi: 10.1038/s41551-023-01034-0
– volume: 41
  start-page: 12000
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib76
  article-title: Druggable sites identification in Streptococcus mutans VicRK system evaluated by catechols
  publication-title: J. Biomol. Struct. Dyn.
  doi: 10.1080/07391102.2023.2166118
– volume: 22
  start-page: 1680
  year: 2017
  ident: 10.1016/j.jpha.2024.101161_bib45
  article-title: From machine learning to deep learning: Progress in machine intelligence for rational drug discovery
  publication-title: Drug Discov. Today
  doi: 10.1016/j.drudis.2017.08.010
– volume: 330
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib7
  article-title: Dental caries in adults, adolescents, and children
  publication-title: JAMA
  doi: 10.1001/jama.2023.21984
– volume: 55
  start-page: 1591
  year: 2005
  ident: 10.1016/j.jpha.2024.101161_bib62
  article-title: Differential binding specificities of oral streptococcal antigen I/II family adhesins for human or bacterial ligands
  publication-title: Mol. Microbiol.
  doi: 10.1111/j.1365-2958.2005.04495.x
– volume: 22
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib32
  article-title: Two decades of 4D-QSAR: A dying art or staging a comeback?
  publication-title: Int. J. Mol. Sci.
  doi: 10.3390/ijms22105212
– volume: 11
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib26
  article-title: Discovering anti-cancer drugs via computational methods
  publication-title: Front. Pharmacol.
  doi: 10.3389/fphar.2020.00733
– volume: 38
  start-page: 1
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib6
  article-title: Molecular and regulatory mechanisms of oxidative stress adaptation in Streptococcus mutans
  publication-title: Mol. Oral Microbiol.
  doi: 10.1111/omi.12388
– volume: 181
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib31
  article-title: CADD, AI and ML in drug discovery: A comprehensive review
  publication-title: Eur. J. Pharm. Sci.
  doi: 10.1016/j.ejps.2022.106324
– volume: 11
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib66
  article-title: Small molecule targeting amyloid fibrils inhibits Streptococcus mutans biofilm formation
  publication-title: AMB Express
  doi: 10.1186/s13568-021-01333-2
– volume: 8
  start-page: 1553
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib42
  article-title: Random forest model predictions afford dual-stage antimalarial agents
  publication-title: ACS Infect. Dis.
  doi: 10.1021/acsinfecdis.2c00189
– volume: 8
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib36
  article-title: Structure-based virtual screening: From classical to artificial intelligence
  publication-title: Front. Chem.
  doi: 10.3389/fchem.2020.00343
– start-page: 148
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib63
  article-title: In silico identification of potential inhibitor targeting Streptococcus mutans and Lactobacillus acidophilus for the treatment of dental caries
  publication-title: J. Pharm. Res. Int.
  doi: 10.9734/jpri/2021/v33i50B33438
– volume: 10
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib1
  article-title: Subgroup detection-based dental caries status and inequalities trend exploration: A nationwide, 10-year-repeated cross-sectional study
  publication-title: Front. Public Health
  doi: 10.3389/fpubh.2022.916878
– volume: 671
  start-page: 87
  year: 2019
  ident: 10.1016/j.jpha.2024.101161_bib67
  article-title: Structural studies of Staphylococcus aureus Sortase inhibiton via Conus venom peptides
  publication-title: Arch. Biochem. Biophys.
  doi: 10.1016/j.abb.2019.06.003
– volume: 36
  start-page: 355
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib41
  article-title: Evolution of support vector machine and regression modeling in chemoinformatics and drug discovery
  publication-title: J. Comput. Aided Mol. Des.
  doi: 10.1007/s10822-022-00442-9
– volume: 10
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib4
  article-title: Sorting out the superbugs: Potential of sortase A inhibitors among other antimicrobial strategies to tackle the problem of antibiotic resistance
  publication-title: Antibiotics (Basel)
– volume: 28
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib39
  article-title: New avenues in artificial-intelligence-assisted drug discovery
  publication-title: Drug Discov. Today
  doi: 10.1016/j.drudis.2023.103516
– volume: 28
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib25
  article-title: Computer-aided drug design towards new psychotropic and neurological drugs
  publication-title: Molecules
  doi: 10.3390/molecules28031324
– volume: 25
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib37
  article-title: Merging ligand-based and structure-based methods in drug discovery: An overview of combined virtual screening approaches
  publication-title: Molecules
  doi: 10.3390/molecules25204723
– volume: 10
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib89
  article-title: The arginine biosynthesis pathway of Candida albicans regulates its cross-Kingdom interaction with Actinomyces viscosus to promote root caries
  publication-title: Microbiol. Spectr.
  doi: 10.1128/spectrum.00782-22
– volume: 15
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib55
  article-title: A guide to in silico drug design
  publication-title: Pharmaceutics
– volume: 43
  start-page: 611
  year: 2025
  ident: 10.1016/j.jpha.2024.101161_bib79
  article-title: In silico analysis unravels the promising anticariogenic efficacy of fatty acids against dental caries causing Streptococcus mutans
  publication-title: J. Biomol. Struct. Dyn.
  doi: 10.1080/07391102.2023.2283155
– volume: 8
  year: 2016
  ident: 10.1016/j.jpha.2024.101161_bib58
  article-title: Inhibition of Streptococcus mutans polysaccharide synthesis by molecules targeting glycosyltransferase activity
  publication-title: J. Oral Microbiol.
  doi: 10.3402/jom.v8.31095
– volume: 11
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib78
  article-title: In silico identification of novel inhibitors targeting the homodimeric interface of superoxide dismutase from the dental pathogen Streptococcus mutans
  publication-title: Antioxidants (Basel)
– volume: 27
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib19
  article-title: Application of mathematical modeling and computational tools in the modern drug design and development process
  publication-title: Molecules
  doi: 10.3390/molecules27134169
– volume: 21
  year: 2024
  ident: 10.1016/j.jpha.2024.101161_bib73
  article-title: Synthesis, antimicrobial activities, and molecular modeling studies of agents for the sortase A enzyme
  publication-title: Chem. Biodivers.
  doi: 10.1002/cbdv.202301659
– volume: 32
  start-page: 167
  year: 2019
  ident: 10.1016/j.jpha.2024.101161_bib74
  article-title: The VicRK two-component system regulates Streptococcus mutans virulence
  publication-title: Curr. Issues Mol. Biol.
  doi: 10.21775/cimb.032.167
– volume: 60
  start-page: 6065
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib82
  article-title: ZINC20-a free ultralarge-scale chemical database for ligand discovery
  publication-title: J. Chem. Inf. Model.
  doi: 10.1021/acs.jcim.0c00675
– volume: 13
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib24
  article-title: Machine learning in antibacterial drug design
  publication-title: Front. Pharmacol.
  doi: 10.3389/fphar.2022.864412
– volume: 127
  start-page: 1
  year: 2012
  ident: 10.1016/j.jpha.2024.101161_bib33
  article-title: Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data
  publication-title: Toxicol. Sci.
  doi: 10.1093/toxsci/kfs095
– volume: 15
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib3
  article-title: Regulatory mechanisms of exopolysaccharide synthesis and biofilm formation in Streptococcus mutans
  publication-title: J. Oral Microbiol.
  doi: 10.1080/20002297.2023.2225257
– volume: 9
  year: 2017
  ident: 10.1016/j.jpha.2024.101161_bib10
  article-title: Fluoride resistance in Streptococcus mutans: A mini review
  publication-title: J. Oral Microbiol.
  doi: 10.1080/20002297.2017.1344509
– volume: 25
  start-page: 1315
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib51
  article-title: Artificial intelligence to deep learning: Machine intelligence approach for drug discovery
  publication-title: Mol. Divers.
  doi: 10.1007/s11030-021-10217-3
– volume: 4
  start-page: 715
  year: 2024
  ident: 10.1016/j.jpha.2024.101161_bib49
  article-title: A review of deep learning methods for ligand based drug virtual screening
  publication-title: Fundam. Res.
  doi: 10.1016/j.fmre.2024.02.011
– volume: 9
  year: 2018
  ident: 10.1016/j.jpha.2024.101161_bib53
  article-title: A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
  publication-title: Nat. Commun.
– volume: 224
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib28
  article-title: Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review
  publication-title: Eur. J. Med. Chem.
  doi: 10.1016/j.ejmech.2021.113705
– volume: 20
  start-page: 13384
  year: 2015
  ident: 10.1016/j.jpha.2024.101161_bib35
  article-title: Molecular docking and structure-based drug design strategies
  publication-title: Molecules
  doi: 10.3390/molecules200713384
– volume: 56
  start-page: 317
  year: 1998
  ident: 10.1016/j.jpha.2024.101161_bib71
  article-title: Polyphenols: Chemistry, dietary sources, metabolism, and nutritional significance
  publication-title: Nutr. Rev.
  doi: 10.1111/j.1753-4887.1998.tb01670.x
– volume: 63
  year: 2024
  ident: 10.1016/j.jpha.2024.101161_bib46
  article-title: Using machine learning to predict the antibacterial activity of ruthenium complexes
  publication-title: Angew. Chem. Int. Ed. Engl.
  doi: 10.1002/anie.202317901
– volume: 40
  start-page: 592
  year: 2019
  ident: 10.1016/j.jpha.2024.101161_bib18
  article-title: Advancing drug discovery via artificial intelligence
  publication-title: Trends Pharmacol. Sci.
  doi: 10.1016/j.tips.2019.06.004
– volume: 27
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib60
  article-title: Virtual screening, synthesis and biological evaluation of Streptococcus mutans mediated biofilm inhibitors
  publication-title: Molecules
  doi: 10.3390/molecules27041455
– volume: 79
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib17
  article-title: Artificial intelligence in multi-objective drug design
  publication-title: Curr. Opin. Struct. Biol.
  doi: 10.1016/j.sbi.2023.102537
– volume: 212
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib70
  article-title: Investigation of the antimicrobial activities of various antimicrobial agents on Streptococcus Mutans Sortase A through computer-aided drug design (CADD) approaches
  publication-title: Comput. Methods Programs Biomed.
  doi: 10.1016/j.cmpb.2021.106454
– volume: 25
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib13
  article-title: Modulation of lipoteichoic acids and exopolysaccharides prevents Streptococcus mutans biofilm accumulation
  publication-title: Molecules
  doi: 10.3390/molecules25092232
– volume: 64
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib14
  article-title: Antibacterial effect of caffeic acid phenethyl ester on cariogenic bacteria and Streptococcus mutans biofilms
  publication-title: Antimicrob. Agents Chemother.
  doi: 10.1128/AAC.00251-20
– volume: 7
  year: 2017
  ident: 10.1016/j.jpha.2024.101161_bib22
  article-title: Structure-based discovery of small molecule inhibitors of cariogenic virulence
  publication-title: Sci. Rep.
– volume: 333
  start-page: 19
  year: 2018
  ident: 10.1016/j.jpha.2024.101161_bib61
  article-title: Glycan recognition at the saliva-oral microbiome interface
  publication-title: Cell. Immunol.
  doi: 10.1016/j.cellimm.2018.08.008
– volume: 15
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib20
  article-title: Artificial intelligence in drug metabolism and excretion prediction: Recent advances, challenges, and future perspectives
  publication-title: Pharmaceutics
  doi: 10.3390/pharmaceutics15041260
– volume: 47
  start-page: 124
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib34
  article-title: Drug discovery in the era of cryo-electron microscopy
  publication-title: Trends Biochem. Sci.
  doi: 10.1016/j.tibs.2021.06.008
– volume: 56
  start-page: 524
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib15
  article-title: Combined treatment with fluoride and antimicrobial peptide GH12 efficiently controls caries in vitro and in vivo
  publication-title: Caries Res.
  doi: 10.1159/000528057
– volume: 57
  start-page: 431
  year: 2019
  ident: 10.1016/j.jpha.2024.101161_bib68
  article-title: A comprehensive in silico analysis of sortase superfamily
  publication-title: J. Microbiol.
  doi: 10.1007/s12275-019-8545-5
– volume: 31
  start-page: 115
  year: 2016
  ident: 10.1016/j.jpha.2024.101161_bib86
  article-title: Transcription factor Rex in regulation of pathophysiology in oral pathogens, Mol
  publication-title: Oral Microbiol.
  doi: 10.1111/omi.12114
– volume: 47
  start-page: 141
  year: 2013
  ident: 10.1016/j.jpha.2024.101161_bib12
  article-title: Divalent cations enhance fluoride binding to Streptococcus mutans and Streptococcus sanguinis cells and subsequently inhibit bacterial acid production
  publication-title: Caries Res.
  doi: 10.1159/000344014
– volume: 56
  start-page: 269
  year: 2016
  ident: 10.1016/j.jpha.2024.101161_bib56
  article-title: Understanding the roles of the “two QSARs”
  publication-title: J. Chem. Inf. Model.
  doi: 10.1021/acs.jcim.5b00229
– volume: 23
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib43
  article-title: Large-scale comparison of machine learning algorithms for target prediction of natural products
  publication-title: Brief. Bioinform.
  doi: 10.1093/bib/bbac359
– volume: 16
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib5
  article-title: Oxidative stress response: A critical factor affecting the ecological competitiveness of Streptococcus mutans
  publication-title: J. Oral Microbiol.
– volume: 388
  start-page: 1545
  year: 2016
  ident: 10.1016/j.jpha.2024.101161_bib2
  article-title: Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: A systematic analysis for the Global Burden of Disease Study 2015
  publication-title: Lancet
  doi: 10.1016/S0140-6736(16)31678-6
– volume: 10
  year: 2015
  ident: 10.1016/j.jpha.2024.101161_bib87
  article-title: Proteome analysis identifies the Dpr protein of Streptococcus mutans as an important factor in the presence of early streptococcal colonizers of tooth surfaces
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0121176
– volume: 7
  start-page: 797
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib47
  article-title: Identification of potent antimicrobial peptides via a machine-learning pipeline that mines the entire space of peptide sequences
  publication-title: Nat. Biomed. Eng.
  doi: 10.1038/s41551-022-00991-2
– volume: 54
  start-page: 194
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib88
  article-title: Oral lactobacilli related to caries status of children with primary dentition
  publication-title: Caries Res.
  doi: 10.1159/000506468
– volume: 5
  start-page: 613
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib54
  article-title: Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations
  publication-title: Nat. Biomed. Eng.
  doi: 10.1038/s41551-021-00689-x
– volume: 23
  year: 2022
  ident: 10.1016/j.jpha.2024.101161_bib38
  article-title: Artificial intelligence in drug discovery: Applications and techniques
  publication-title: Brief. Bioinform.
  doi: 10.1093/bib/bbab430
– volume: 3
  year: 2011
  ident: 10.1016/j.jpha.2024.101161_bib81
  article-title: PubChem3D: A new resource for scientists
  publication-title: J. Cheminform.
  doi: 10.1186/1758-2946-3-32
– volume: 7
  start-page: 140
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib57
  article-title: Fluoride in drinking water and skeletal fluorosis: A review of the global impact
  publication-title: Curr. Environ. Health Rep.
  doi: 10.1007/s40572-020-00270-9
– volume: 67
  start-page: 11452
  year: 2024
  ident: 10.1016/j.jpha.2024.101161_bib84
  article-title: Property-based drug design merits a Nobel prize
  publication-title: J. Med. Chem.
  doi: 10.1021/acs.jmedchem.4c01345
– volume: 9
  start-page: 53
  year: 2017
  ident: 10.1016/j.jpha.2024.101161_bib69
  article-title: In silico identification of potential inhibitors targeting Streptococcus mutans sortase A
  publication-title: Int. J. Oral Sci.
  doi: 10.1038/ijos.2016.58
– volume: 46
  start-page: 174
  year: 2015
  ident: 10.1016/j.jpha.2024.101161_bib85
  article-title: New small-molecule inhibitors of dihydrofolate reductase inhibit Streptococcus mutans
  publication-title: Int. J. Antimicrob. Agents
  doi: 10.1016/j.ijantimicag.2015.03.015
– volume: 28
  year: 2023
  ident: 10.1016/j.jpha.2024.101161_bib29
  article-title: Advances of computer-aided drug design (CADD) in the development of anti-Azheimer’s-disease drugs
  publication-title: Drug Discov. Today
  doi: 10.1016/j.drudis.2023.103665
– volume: 19
  start-page: 4538
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib44
  article-title: A review on machine learning approaches and trends in drug discovery
  publication-title: Comput. Struct. Biotechnol. J.
  doi: 10.1016/j.csbj.2021.08.011
– volume: 137
  year: 2021
  ident: 10.1016/j.jpha.2024.101161_bib21
  article-title: In silico methods and tools for drug discovery
  publication-title: Comput. Biol. Med.
  doi: 10.1016/j.compbiomed.2021.104851
– volume: 52
  start-page: D1180
  year: 2024
  ident: 10.1016/j.jpha.2024.101161_bib83
  article-title: The ChEMBL database in 2023: A drug discovery platform spanning multiple bioactivity data types and time periods
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkad1004
– volume: 60
  start-page: 126
  year: 2015
  ident: 10.1016/j.jpha.2024.101161_bib59
  article-title: Molecule targeting glucosyltransferase inhibits Streptococcus mutans biofilm formation and virulence
  publication-title: Antimicrob. Agents Chemother.
  doi: 10.1128/AAC.00919-15
– volume: 287
  start-page: 2597
  year: 2020
  ident: 10.1016/j.jpha.2024.101161_bib65
  article-title: Characterization of an intermolecular quaternary interaction between discrete segments of the Streptococcus mutans adhesin P1 by NMR spectroscopy
  publication-title: FEBS J.
  doi: 10.1111/febs.15158
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Snippet Dental caries, a chronic disease characterized by tooth decay, occupies the second position in terms of disease burden and is primarily caused by cariogenic...
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SubjectTerms Acids
Adenosine triphosphatase
AI-Assisted drug design
Antigen I/II
Antigens
Bacteria
Biofilms
Biological activity
Chronic illnesses
Computer-aided drug design
Dental caries
Drug delivery
Drug development
Fluorides
Glucosyltransferases
Ligands
Metabolism
Oxidative stress
Review Paper
Signal transduction
Sortase
Sortase A
Streptococcus mutans
Virulence
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Title Advances and challenges in drug design against dental caries: Application of in silico approaches
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