The PentUnFOLD algorithm as a tool to distinguish the dark and the light sides of the structural instability of proteins
Intrinsically disordered proteins are frequently involved in important regulatory processes in the cell thanks to their ability to bind several different targets performing sometimes even opposite functions. The PentUnFOLD algorithm is a physicochemical method that is based on new propensity scales...
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| Published in: | Amino acids Vol. 54; no. 8; pp. 1155 - 1171 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Springer Vienna
01.08.2022
Springer Nature B.V |
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| ISSN: | 0939-4451, 1438-2199, 1438-2199 |
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| Abstract | Intrinsically disordered proteins are frequently involved in important regulatory processes in the cell thanks to their ability to bind several different targets performing sometimes even opposite functions. The PentUnFOLD algorithm is a physicochemical method that is based on new propensity scales for disordered, nonstable and stable elements of secondary structure and on the counting of stabilizing and destabilizing intraprotein contacts. Unlike other methods, it works with a PDB file, and it can determine not only those fragments of alpha helices, beta strands, and random coils that can turn into disordered state (the “dark” side of the disorder), but also nonstable regions of alpha helices and beta strands which are able to turn into random coils (the “light” side), and vice versa (H ↔ C, E ↔ C). The scales have been obtained from structural data on disordered regions from the middle parts of amino acid sequences only, and not on their expectedly disordered N- and C-termini. Among other tendencies we have found that regions of both alpha helices and beta strands that can turn into the disordered state are relatively enriched in residues of Ala, Met, Asp, and Lys, while regions of both alpha helices and beta strands that can turn into random coil are relatively enriched in hydrophilic residues, and Cys, Pro, and Gly. Moreover, PentUnFOLD has the option to determine the effect of secondary structure transitions on the stability of a given region of a protein. The PentUnFOLD algorithm is freely available at
http://3.17.12.213/pent-un-fold
and
http://chemres.bsmu.by/PentUnFOLD.htm
. |
|---|---|
| AbstractList | Intrinsically disordered proteins are frequently involved in important regulatory processes in the cell thanks to their ability to bind several different targets performing sometimes even opposite functions. The PentUnFOLD algorithm is a physicochemical method that is based on new propensity scales for disordered, nonstable and stable elements of secondary structure and on the counting of stabilizing and destabilizing intraprotein contacts. Unlike other methods, it works with a PDB file, and it can determine not only those fragments of alpha helices, beta strands, and random coils that can turn into disordered state (the “dark” side of the disorder), but also nonstable regions of alpha helices and beta strands which are able to turn into random coils (the “light” side), and vice versa (H ↔ C, E ↔ C). The scales have been obtained from structural data on disordered regions from the middle parts of amino acid sequences only, and not on their expectedly disordered N- and C-termini. Among other tendencies we have found that regions of both alpha helices and beta strands that can turn into the disordered state are relatively enriched in residues of Ala, Met, Asp, and Lys, while regions of both alpha helices and beta strands that can turn into random coil are relatively enriched in hydrophilic residues, and Cys, Pro, and Gly. Moreover, PentUnFOLD has the option to determine the effect of secondary structure transitions on the stability of a given region of a protein. The PentUnFOLD algorithm is freely available at http://3.17.12.213/pent-un-fold and http://chemres.bsmu.by/PentUnFOLD.htm. Intrinsically disordered proteins are frequently involved in important regulatory processes in the cell thanks to their ability to bind several different targets performing sometimes even opposite functions. The PentUnFOLD algorithm is a physicochemical method that is based on new propensity scales for disordered, nonstable and stable elements of secondary structure and on the counting of stabilizing and destabilizing intraprotein contacts. Unlike other methods, it works with a PDB file, and it can determine not only those fragments of alpha helices, beta strands, and random coils that can turn into disordered state (the "dark" side of the disorder), but also nonstable regions of alpha helices and beta strands which are able to turn into random coils (the "light" side), and vice versa (H ↔ C, E ↔ C). The scales have been obtained from structural data on disordered regions from the middle parts of amino acid sequences only, and not on their expectedly disordered N- and C-termini. Among other tendencies we have found that regions of both alpha helices and beta strands that can turn into the disordered state are relatively enriched in residues of Ala, Met, Asp, and Lys, while regions of both alpha helices and beta strands that can turn into random coil are relatively enriched in hydrophilic residues, and Cys, Pro, and Gly. Moreover, PentUnFOLD has the option to determine the effect of secondary structure transitions on the stability of a given region of a protein. The PentUnFOLD algorithm is freely available at http://3.17.12.213/pent-un-fold and http://chemres.bsmu.by/PentUnFOLD.htm .Intrinsically disordered proteins are frequently involved in important regulatory processes in the cell thanks to their ability to bind several different targets performing sometimes even opposite functions. The PentUnFOLD algorithm is a physicochemical method that is based on new propensity scales for disordered, nonstable and stable elements of secondary structure and on the counting of stabilizing and destabilizing intraprotein contacts. Unlike other methods, it works with a PDB file, and it can determine not only those fragments of alpha helices, beta strands, and random coils that can turn into disordered state (the "dark" side of the disorder), but also nonstable regions of alpha helices and beta strands which are able to turn into random coils (the "light" side), and vice versa (H ↔ C, E ↔ C). The scales have been obtained from structural data on disordered regions from the middle parts of amino acid sequences only, and not on their expectedly disordered N- and C-termini. Among other tendencies we have found that regions of both alpha helices and beta strands that can turn into the disordered state are relatively enriched in residues of Ala, Met, Asp, and Lys, while regions of both alpha helices and beta strands that can turn into random coil are relatively enriched in hydrophilic residues, and Cys, Pro, and Gly. Moreover, PentUnFOLD has the option to determine the effect of secondary structure transitions on the stability of a given region of a protein. The PentUnFOLD algorithm is freely available at http://3.17.12.213/pent-un-fold and http://chemres.bsmu.by/PentUnFOLD.htm . Intrinsically disordered proteins are frequently involved in important regulatory processes in the cell thanks to their ability to bind several different targets performing sometimes even opposite functions. The PentUnFOLD algorithm is a physicochemical method that is based on new propensity scales for disordered, nonstable and stable elements of secondary structure and on the counting of stabilizing and destabilizing intraprotein contacts. Unlike other methods, it works with a PDB file, and it can determine not only those fragments of alpha helices, beta strands, and random coils that can turn into disordered state (the “dark” side of the disorder), but also nonstable regions of alpha helices and beta strands which are able to turn into random coils (the “light” side), and vice versa (H ↔ C, E ↔ C). The scales have been obtained from structural data on disordered regions from the middle parts of amino acid sequences only, and not on their expectedly disordered N- and C-termini. Among other tendencies we have found that regions of both alpha helices and beta strands that can turn into the disordered state are relatively enriched in residues of Ala, Met, Asp, and Lys, while regions of both alpha helices and beta strands that can turn into random coil are relatively enriched in hydrophilic residues, and Cys, Pro, and Gly. Moreover, PentUnFOLD has the option to determine the effect of secondary structure transitions on the stability of a given region of a protein. The PentUnFOLD algorithm is freely available at http://3.17.12.213/pent-un-fold and http://chemres.bsmu.by/PentUnFOLD.htm . |
| Author | Khrustalev, Vladislav Victorovich Poboinev, Victor Vitoldovich Popkov, Vadim Dmitrievich Kasko, Tihon Evgenyevich Khrustaleva, Tatyana Aleksandrovna |
| Author_xml | – sequence: 1 givenname: Victor Vitoldovich orcidid: 0000-0002-5092-0249 surname: Poboinev fullname: Poboinev, Victor Vitoldovich email: dremozzew@mail.ru organization: Department of General Chemistry, Belarusian State Medical University – sequence: 2 givenname: Vladislav Victorovich surname: Khrustalev fullname: Khrustalev, Vladislav Victorovich organization: Department of General Chemistry, Belarusian State Medical University – sequence: 3 givenname: Tatyana Aleksandrovna surname: Khrustaleva fullname: Khrustaleva, Tatyana Aleksandrovna organization: Biochemical Group of the Multidisciplinary Diagnostic Laboratory, Institute of Physiology of the National Academy of Sciences of Belarus – sequence: 4 givenname: Tihon Evgenyevich surname: Kasko fullname: Kasko, Tihon Evgenyevich organization: Department of General Chemistry, Belarusian State Medical University – sequence: 5 givenname: Vadim Dmitrievich surname: Popkov fullname: Popkov, Vadim Dmitrievich organization: Department of General Chemistry, Belarusian State Medical University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35294674$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1016_j_bbrc_2022_05_064 crossref_primary_10_1007_s10930_024_10209_w crossref_primary_10_3390_biom14030287 crossref_primary_10_3389_fmicb_2024_1427606 crossref_primary_10_1007_s10930_023_10101_z |
| Cites_doi | 10.1038/35041139 10.1080/07391102.2012.675145 10.1093/bioinformatics/bti537 10.1016/j.tibs.2007.10.003 10.1093/nar/gkm423 10.1093/bioinformatics/16.10.915 10.1016/j.csbj.2020.07.005 10.1016/j.gpb.2019.01.004 10.1038/s41467-021-24773-7 10.1093/bib/bbz100 10.1002/bip.360221211 10.1016/j.bbapap.2010.01.017 10.1146/annurev.bi.47.070178.001343 10.1146/annurev.biophys.37.032807.125924 10.1016/j.bbapap.2010.01.011 10.1080/07391102.2007.10507123 10.1186/s12964-016-0131-4 10.1002/prot.340190207 10.1093/bioinformatics/btu744 10.1016/j.biocel.2011.04.001 10.1016/B978-0-12-802395-2.00028-6 10.1093/nar/gkg519 10.1038/nrd2199 10.1038/s41592-021-01117-3 10.1016/0097-8485(94)85023-2 10.1042/BST20160172 10.1006/jmbi.1999.3153 10.1093/nar/gkv315 10.1093/nar/gks1226 10.1016/j.biochi.2012.08.008 10.1186/1471-2105-7-208 10.1093/nar/gkm363 10.1016/j.sbi.2008.10.002 10.1016/j.str.2003.10.002 10.2174/1389203717666161028145848 10.1002/1097-0134(20001115)41:3<415::AID-PROT130>3.0.CO;2-7 10.1038/nrm1589 10.1016/S0140-6736(97)02073-4 10.1093/bioinformatics/bth195 10.1093/bioinformatics/btx015 10.1007/s00018-014-1661-9 10.1006/jmbi.2001.5173 10.1155/2010/568068 10.1110/ps.03128904 10.3390/ijms161023446 10.1016/j.virusres.2014.11.026 10.1021/cr400713r 10.1007/s00018-019-03347-3 10.1002/prot.25090 10.2174/1389450116666150722141119 10.1007/s00249-019-01377-0 10.1016/j.jmb.2019.12.030 10.1002/cphc.200900205 10.1063/1.4979516 10.1093/bioinformatics/bti541 10.1016/j.jmb.2004.02.002 10.1002/1097-0134(20010101)42:1<38::AID-PROT50>3.0.CO;2-3 10.1007/978-1-4614-0980-9_9 10.1006/jmbi.1999.3110 |
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| Keywords | Human prion protein Computer algorithm Intrinsically disordered proteins; Structural shifts Amino acid substitution |
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| References | P Aguilar-Calvo (3153_CR1) 2015; 207 LM Bidwell (3153_CR5) 1999; 293 HJ Dyson (3153_CR13) 2005; 6 VN Uversky (3153_CR51) 2000; 41 P Tompa (3153_CR48) 2008; 33 V Zoete (3153_CR64) 2002; 315 E Hazy (3153_CR15) 2009; 10 T Le Gall (3153_CR27) 2007; 24 B Xue (3153_CR62) 2010; 1804 VN Uversky (3153_CR49) 2011; 43 JP Overington (3153_CR35) 2006; 5 VJ Promponas (3153_CR40) 2000; 16 S Salentin (3153_CR44) 2015; 43 VN Uversky (3153_CR52) 2008; 37 PY Chou (3153_CR7) 1978; 47 A Katuwawala (3153_CR22) 2020; 21 VV Khrustalev (3153_CR25) 2019; 48 K Peng (3153_CR36) 2006; 7 M Necci (3153_CR33) 2021; 18 3153_CR38 J Prilusky (3153_CR39) 2005; 21 M Necci (3153_CR32) 2017; 33 VV Khrustalev (3153_CR23) 2012; 94 R Linding (3153_CR29) 2003; 31 R Linding (3153_CR30) 2003; 11 Z Peng (3153_CR37) 2015; 72 JW Ironside (3153_CR18) 2017; 145 Z Dosztanyi (3153_CR9) 2005; 21 KG Tina (3153_CR47) 2007; 35 ME Oates (3153_CR34) 2013; 41 AK Dunker (3153_CR10) 2000; 11 P Radivojac (3153_CR41) 2004; 13 A Barik (3153_CR4) 2020; 432 AK Dunker (3153_CR11) 2008; 18 G Hu (3153_CR16) 2016; 17 PE Wright (3153_CR60) 1999; 293 M Vihinen (3153_CR56) 1994; 19 RR Kopito (3153_CR26) 2000; 2 M Luo (3153_CR31) 2012 3153_CR46 3153_CR43 G Hu (3153_CR17) 2021; 12 C Corbi-Verge (3153_CR8) 2016; 14 JC Wootton (3153_CR59) 1994; 18 VN Uversky (3153_CR53) 2014; 114 P Santofimia-Castaño (3153_CR45) 2020; 77 DT Jones (3153_CR20) 2015; 31 J Li (3153_CR28) 2015; 16 J Hanson (3153_CR14) 2019; 17 T Ishida (3153_CR19) 2007; 35 B Xue (3153_CR63) 2012; 30 MM Babu (3153_CR2) 2016; 44 JJ Ward (3153_CR57) 2004; 337 W Kabsch (3153_CR21) 1983; 22 RW Carrell (3153_CR6) 1997; 350 VN Uversky (3153_CR54) 2017; 18 3153_CR12 VN Uversky (3153_CR50) 2010; 1804 3153_CR55 P Romero (3153_CR42) 2001; 42 S Barik (3153_CR3) 2020; 18 VV Khrustalev (3153_CR24) 2016; 84 Q Xie (3153_CR61) 1998; 9 JJ Ward (3153_CR58) 2004; 20 |
| References_xml | – volume: 2 start-page: 207 year: 2000 ident: 3153_CR26 publication-title: Nat Cell Biol doi: 10.1038/35041139 – volume: 30 start-page: 137 year: 2012 ident: 3153_CR63 publication-title: J Biomol Struct Dyn doi: 10.1080/07391102.2012.675145 – volume: 11 start-page: 161 year: 2000 ident: 3153_CR10 publication-title: Genome Inform Ser Workshop Genome Inform – volume: 21 start-page: 3435 year: 2005 ident: 3153_CR39 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bti537 – volume: 33 start-page: 2 year: 2008 ident: 3153_CR48 publication-title: Trends Biochem Sci doi: 10.1016/j.tibs.2007.10.003 – volume: 35 start-page: W473 year: 2007 ident: 3153_CR47 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkm423 – volume: 16 start-page: 915 year: 2000 ident: 3153_CR40 publication-title: Bioinformatics doi: 10.1093/bioinformatics/16.10.915 – volume: 18 start-page: 1884 year: 2020 ident: 3153_CR3 publication-title: Comput Struct Biotechnol J doi: 10.1016/j.csbj.2020.07.005 – volume: 17 start-page: 645 year: 2019 ident: 3153_CR14 publication-title: Genomics Proteomics Bioinformatics doi: 10.1016/j.gpb.2019.01.004 – volume: 12 start-page: 4438 year: 2021 ident: 3153_CR17 publication-title: Nat Commun doi: 10.1038/s41467-021-24773-7 – volume: 21 start-page: 1509 year: 2020 ident: 3153_CR22 publication-title: Brief Bioinform doi: 10.1093/bib/bbz100 – volume: 22 start-page: 2577 year: 1983 ident: 3153_CR21 publication-title: Biopolymers doi: 10.1002/bip.360221211 – volume: 1804 start-page: 1231 year: 2010 ident: 3153_CR50 publication-title: Biochim Biophys Acta doi: 10.1016/j.bbapap.2010.01.017 – volume: 47 start-page: 251 year: 1978 ident: 3153_CR7 publication-title: Annu Rev Biochem doi: 10.1146/annurev.bi.47.070178.001343 – volume: 37 start-page: 215 year: 2008 ident: 3153_CR52 publication-title: Annu Rev Biophys doi: 10.1146/annurev.biophys.37.032807.125924 – volume: 1804 start-page: 996 year: 2010 ident: 3153_CR62 publication-title: Biochim Biophys Acta doi: 10.1016/j.bbapap.2010.01.011 – volume: 24 start-page: 325 year: 2007 ident: 3153_CR27 publication-title: J Biomol Struct Dyn doi: 10.1080/07391102.2007.10507123 – volume: 14 start-page: 8 year: 2016 ident: 3153_CR8 publication-title: Cell Commun Signal doi: 10.1186/s12964-016-0131-4 – volume: 19 start-page: 141 year: 1994 ident: 3153_CR56 publication-title: Proteins doi: 10.1002/prot.340190207 – volume: 31 start-page: 857 year: 2015 ident: 3153_CR20 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btu744 – volume: 43 start-page: 1090 year: 2011 ident: 3153_CR49 publication-title: Int J Biochem Cell Biol doi: 10.1016/j.biocel.2011.04.001 – volume: 145 start-page: 393 year: 2017 ident: 3153_CR18 publication-title: Handb Clin Neurol doi: 10.1016/B978-0-12-802395-2.00028-6 – ident: 3153_CR38 – volume: 31 start-page: 3701 year: 2003 ident: 3153_CR29 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkg519 – volume: 5 start-page: 993 year: 2006 ident: 3153_CR35 publication-title: Nat Rev Drug Discov doi: 10.1038/nrd2199 – volume: 18 start-page: 472 year: 2021 ident: 3153_CR33 publication-title: Nat Methods doi: 10.1038/s41592-021-01117-3 – volume: 18 start-page: 269 year: 1994 ident: 3153_CR59 publication-title: Comput Chem doi: 10.1016/0097-8485(94)85023-2 – volume: 44 start-page: 1185 year: 2016 ident: 3153_CR2 publication-title: Biochem Soc Trans doi: 10.1042/BST20160172 – volume: 293 start-page: 521 year: 1999 ident: 3153_CR5 publication-title: J Mol Biol doi: 10.1006/jmbi.1999.3153 – volume: 43 start-page: 443 year: 2015 ident: 3153_CR44 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkv315 – volume: 41 start-page: 508 year: 2013 ident: 3153_CR34 publication-title: Nucleic Acids Res doi: 10.1093/nar/gks1226 – volume: 94 start-page: 2706 year: 2012 ident: 3153_CR23 publication-title: Biochimie doi: 10.1016/j.biochi.2012.08.008 – volume: 9 start-page: 193 year: 1998 ident: 3153_CR61 publication-title: Genome Inform Ser Workshop Genome Inform – volume: 7 start-page: 208 year: 2006 ident: 3153_CR36 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-7-208 – volume: 35 start-page: 460 year: 2007 ident: 3153_CR19 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkm363 – volume: 18 start-page: 756 year: 2008 ident: 3153_CR11 publication-title: Curr Opin Struct Biol doi: 10.1016/j.sbi.2008.10.002 – volume: 11 start-page: 1453 year: 2003 ident: 3153_CR30 publication-title: Structure doi: 10.1016/j.str.2003.10.002 – volume: 18 start-page: 453 year: 2017 ident: 3153_CR54 publication-title: Curr Protein Pept Sci doi: 10.2174/1389203717666161028145848 – volume: 41 start-page: 415 year: 2000 ident: 3153_CR51 publication-title: Proteins doi: 10.1002/1097-0134(20001115)41:3<415::AID-PROT130>3.0.CO;2-7 – volume: 6 start-page: 197 year: 2005 ident: 3153_CR13 publication-title: Nat Rev Mol Cell Biol doi: 10.1038/nrm1589 – volume: 350 start-page: 134 year: 1997 ident: 3153_CR6 publication-title: Lancet doi: 10.1016/S0140-6736(97)02073-4 – volume: 20 start-page: 2138 year: 2004 ident: 3153_CR58 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bth195 – volume: 33 start-page: 1402 year: 2017 ident: 3153_CR32 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btx015 – volume: 72 start-page: 137 year: 2015 ident: 3153_CR37 publication-title: Cell Mol Life Sci doi: 10.1007/s00018-014-1661-9 – volume: 315 start-page: 21 year: 2002 ident: 3153_CR64 publication-title: J Mol Biol doi: 10.1006/jmbi.2001.5173 – ident: 3153_CR55 doi: 10.1155/2010/568068 – volume: 13 start-page: 71 year: 2004 ident: 3153_CR41 publication-title: Protein Sci doi: 10.1110/ps.03128904 – volume: 16 start-page: 23446 year: 2015 ident: 3153_CR28 publication-title: Int J Mol Sci doi: 10.3390/ijms161023446 – volume: 207 start-page: 82 year: 2015 ident: 3153_CR1 publication-title: Virus Res doi: 10.1016/j.virusres.2014.11.026 – volume: 114 start-page: 6844 year: 2014 ident: 3153_CR53 publication-title: Chem Rev doi: 10.1021/cr400713r – ident: 3153_CR12 – volume: 77 start-page: 1695 year: 2020 ident: 3153_CR45 publication-title: Cell Mol Life Sci doi: 10.1007/s00018-019-03347-3 – volume: 84 start-page: 1462 year: 2016 ident: 3153_CR24 publication-title: Function and Bioinformatics doi: 10.1002/prot.25090 – volume: 17 start-page: 1198 year: 2016 ident: 3153_CR16 publication-title: Curr Drug Targets doi: 10.2174/1389450116666150722141119 – volume: 48 start-page: 523 year: 2019 ident: 3153_CR25 publication-title: Eur Biophys J doi: 10.1007/s00249-019-01377-0 – volume: 432 start-page: 3379 year: 2020 ident: 3153_CR4 publication-title: J Mol Biol doi: 10.1016/j.jmb.2019.12.030 – volume: 10 start-page: 1415 year: 2009 ident: 3153_CR15 publication-title: ChemPhysChem doi: 10.1002/cphc.200900205 – ident: 3153_CR46 doi: 10.1063/1.4979516 – volume: 21 start-page: 3433 year: 2005 ident: 3153_CR9 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bti541 – volume: 337 start-page: 635 year: 2004 ident: 3153_CR57 publication-title: J Mol Biol doi: 10.1016/j.jmb.2004.02.002 – volume: 42 start-page: 38 year: 2001 ident: 3153_CR42 publication-title: Proteins doi: 10.1002/1097-0134(20010101)42:1<38::AID-PROT50>3.0.CO;2-3 – start-page: 201 volume-title: the Viral Molecular Machines year: 2012 ident: 3153_CR31 doi: 10.1007/978-1-4614-0980-9_9 – ident: 3153_CR43 – volume: 293 start-page: 321 year: 1999 ident: 3153_CR60 publication-title: J Mol Biol doi: 10.1006/jmbi.1999.3110 |
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| SubjectTerms | Algorithms Amino acids Analytical Chemistry Biochemical Engineering Biochemistry Biomedical and Life Sciences Coils Helices hydrophilicity Life Sciences Neurobiology Original Original Article Protein structure Proteins Proteomics Random coil Residues Secondary structure Strands Structural stability |
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