Next-generation computational tools and resources for coronavirus research: From detection to vaccine discovery

The COVID-19 pandemic has affected 215 countries and territories around the world with 60,187,347 coronavirus cases and 17,125,719 currently infected patients confirmed as of the November 25, 2020. Currently, many countries are working on developing new vaccines and therapeutic drugs for this novel...

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Vydané v:Computers in biology and medicine Ročník 128; s. 104158
Hlavní autori: Kangabam, Rajiv, Sahoo, Susrita, Ghosh, Arpan, Roy, Riya, Silla, Yumnam, Misra, Namrata, Suar, Mrutyunjay
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Elsevier Ltd 01.01.2021
Elsevier Limited
Predmet:
Annotations
Antigens
Bioinformatics
Clinical trials
Computational Biology
Computational tools
Computer applications
Computer Simulation
Coronaviridae
Coronavirus
Coronaviruses
COVID-19
COVID-19 - epidemiology
COVID-19 - genetics
Divergence
Epitopes
Genomic
Genomics
Humans
Internal Medicine
Middle East respiratory syndrome
Mortality
Other
Pandemics
Pathogenesis
Proteome - genetics
Proteomes
SARS-CoV-2
SARS-CoV-2 - genetics
Severe acute respiratory syndrome coronavirus 2
Software
Vaccine development
Vaccines
Viral diseases
COVID-19
SARS-CoV-2
Databases
Coronavirus
Genomic
Computational tools
Computational Tools
ISSN:0010-4825, 1879-0534, 1879-0534
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Shrnutí:The COVID-19 pandemic has affected 215 countries and territories around the world with 60,187,347 coronavirus cases and 17,125,719 currently infected patients confirmed as of the November 25, 2020. Currently, many countries are working on developing new vaccines and therapeutic drugs for this novel virus strain, and a few of them are in different phases of clinical trials. The advancement in high-throughput sequence technologies, along with the application of bioinformatics, offers invaluable knowledge on genomic characterization and molecular pathogenesis of coronaviruses. Recent multi-disciplinary studies using bioinformatics methods like sequence-similarity, phylogenomic, and computational structural biology have provided an in-depth understanding of the molecular and biochemical basis of infection, atomic-level recognition of the viral-host receptor interaction, functional annotation of important viral proteins, and evolutionary divergence across different strains. Additionally, various modern immunoinformatic approaches are also being used to target the most promiscuous antigenic epitopes from the SARS-CoV-2 proteome for accelerating the vaccine development process. In this review, we summarize various important computational tools and databases available for systematic sequence-structural study on coronaviruses. The features of these public resources have been comprehensively discussed, which may help experimental biologists with predictive insights useful for ongoing research efforts to find therapeutics against the infectious COVID-19 disease. [Display omitted] •This review presents a comprehensive and up-to-date overview of newly developed computational resources focused on coronaviruses.•The resources are being categorized based on its utility and applications in coronaviruses study.•The features of each of the tools have been discussed along with their application in recent coronavirus research studies.
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ISSN:0010-4825
1879-0534
1879-0534
DOI:10.1016/j.compbiomed.2020.104158