Journal article
Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource
S Portelli, M Olshansky, CHM Rodrigues, EN D’Souza, Y Myung, M Silk, A Alavi, DEV Pires, DB Ascher
Nature Genetics | NATURE PORTFOLIO | Published : 2020
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 the novelty of the virus, 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 in infection, host immunity and drug development, we have developed COVID-3D (http://biosig.unimelb.edu.au/covid3d/).
Grants
Awarded by Medical Research Council
Funding Acknowledgements
We thank N. Thanh Binh (Bioinformatics Institute, A*STAR, Singapore) for help with molecular dynamics simulations. S.P., C.H.M.R. and Y.M. were supported by a Melbourne Research Scholarship. D.B.A. and D.E.V.P. were funded by a Newton Fund RCUK-CONFAP Grant awarded by The Medical Research Council (MRC) and Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG; MR/M026302/1) and Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq). D.B.A. was funded by the Jack Brockhoff Foundation (JBF 4186, 2016); the Wellcome Trust (200814/Z/16/Z) and an Investigator Grant from the National Health and Medical Research Council (NHMRC) of Australia (GNT1174405). This work was supported in part by the Victorian Government's OIS Program. This research has been conducted using the UK Biobank Resource under Application Number 50000.