Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence

Mayya Sedova; Lukasz Jaroszewski; Arghavan Alisoltani; Adam Godzik

doi:10.1093/bioinformatics/btaa550

Coronavirus3D: 3D structural visualization of COVID-19 genomic divergence

Bioinformatics. 2020 Aug 1;36(15):4360-4362. doi: 10.1093/bioinformatics/btaa550.

Authors

Mayya Sedova¹, Lukasz Jaroszewski¹, Arghavan Alisoltani¹, Adam Godzik¹

Affiliation

¹ Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA 92521, USA.

Abstract

Motivation: As the COVID-19 pandemic is spreading around the world, the SARS-CoV-2 virus is evolving with mutations that potentially change and fine-tune functions of the proteins coded in its genome.

Results: Coronavirus3D website integrates data on the SARS-CoV-2 virus mutations with information about 3D structures of its proteins, allowing users to visually analyze the mutations in their 3D context.

Availability and implementation: Coronavirus3D server is freely available at https://coronavirus3d.org.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Betacoronavirus
COVID-19
Coronavirus Infections*
Genome, Viral*
Genomics
Humans
Pandemics*
Pneumonia, Viral*
SARS-CoV-2

Abstract

Publication types

MeSH terms

Grants and funding