Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Structural Genomics and Interactomics of 2019 Wuhan Novel Coronavirus, SARS-CoV-2, Indicate Evolutionary Conserved Functional Regions of Viral Proteins

Version 1 : Received: 24 February 2020 / Approved: 25 February 2020 / Online: 25 February 2020 (11:24:10 CET)

A peer-reviewed article of this Preprint also exists.

Srinivasan, S.; Cui, H.; Gao, Z.; Liu, M.; Lu, S.; Mkandawire, W.; Narykov, O.; Sun, M.; Korkin, D. Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins. Viruses 2020, 12, 360. Srinivasan, S.; Cui, H.; Gao, Z.; Liu, M.; Lu, S.; Mkandawire, W.; Narykov, O.; Sun, M.; Korkin, D. Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins. Viruses 2020, 12, 360.

Abstract

During its first month, the recently emerged 2019 Wuhan novel coronavirus (SARS-CoV-2) has already infected many thousands of people in mainland China and worldwide and took hundreds of 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 leverage the data about the related coronaviruses that is readily available in public databases, and integrate these data into a single computational pipeline. As a result, we provide a comprehensive structural genomics and interactomics road-maps of SARS-CoV-2 and use these information to infer the possible functional differences and similarities with the related SARS coronavirus. All data are made publicly available to the research community at http://korkinlab.org/wuhan .

Keywords

structural genomics; protein-protein interactions; structural bioinformaticscomparative modeling; functional annotation; antiviral design; SARS-CoV-2; 2019-nCoV

Subject

Biology and Life Sciences, Virology

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