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Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins

Authors: Suhas Srinivasan; Hongzhu Cui; Ziyang Gao; Ming Liu; Senbao Lu; Winnie Mkandawire; Oleksandr Narykov; +2 Authors

Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins

Abstract

During its first two and a half months, the recently emerged 2019 novel coronavirus, SARS-CoV-2, has already infected over one-hundred thousand people worldwide and has taken more than four thousand lives. However, the swiftly spreading virus also caused an unprecedentedly rapid response from the research community facing the unknown health challenge of potentially enormous proportions. Unfortunately, the experimental research to understand the molecular mechanisms behind the viral infection and to design a vaccine or antivirals is costly and takes months to develop. To expedite the advancement of our knowledge, we leveraged data about the related coronaviruses that is readily available in public databases and integrated these data into a single computational pipeline. As a result, we provide comprehensive structural genomics and interactomics roadmaps of SARS-CoV-2 and use this information to infer the possible functional differences and similarities with the related SARS coronavirus. All data are made publicly available to the research community.

Keywords

Models, Molecular, Pneumonia, Viral, protein-protein interactions, interactome, Genome, Viral, Ligands, Microbiology, Article, Betacoronavirus, Chiroptera, Animals, Coronavirus Nucleocapsid Proteins, Humans, Pandemics, Conserved Sequence, Phylogeny, 2019 novel coronavirus, Binding Sites, SARS-CoV-2, COVID-19, Computational Biology, Genomics, structural genomics, Nucleocapsid Proteins, Phosphoproteins, Biological Evolution, QR1-502, sars-cov-2, covid-19, COVID-19 ; interactome ; 2019-nCoV ; 2019 novel coronavirus ; structural genomics ; protein-protein interactions ; SARS-CoV-2, 2019-nCoV, 2019-ncov, Coronavirus Infections

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    206
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
206
Top 1%
Top 10%
Top 0.1%
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