COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development

Stephanie Portelli; Moshe Olshansky; Carlos H. M. Rodrigues; Elston N. D’Souza; Yoochan Myung; Michael A. Silk; Azadeh Alavi; Douglas E. V. Pires; David Benjamin Ascher

doi:10.1101/2020.05.29.124610

bioRxivMay 29, 2020BioinformaticsPreprint

COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development

Stephanie Portelli iD, Moshe Olshansky iD, Carlos H. M. Rodrigues iD, Elston N. D’Souza iD, Yoochan Myung iD, Michael A. Silk iD, Azadeh Alavi iD, Douglas E. V. Pires iD, David Benjamin Ascher iD

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Abstract

The emergence of the COVID-19 pandemic has spurred a global rush to uncover basic biological mechanisms, to inform effective vaccine and drug development. Despite viral novelty, global sequencing efforts have already identified genomic variation across isolates. To enable easy exploration and spatial visualization of the potential implications of SARS-CoV-2 mutations on infection, host immunity and drug development we have developed COVID-3D (http://biosig.unimelb.edu.au/covid3d/).

Citations: 6

SARS-CoV-2 and COVID-19 Research

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