Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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 Silk, Azadeh Alavi, Douglas E.V. Pires, View ORCID ProfileDavid B. Ascher
doi: https://doi.org/10.1101/2020.05.29.124610
Stephanie Portelli
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Moshe Olshansky
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carlos H.M. Rodrigues
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elston N. D’Souza
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yoochan Myung
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Silk
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Azadeh Alavi
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Douglas E.V. Pires
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
3School of Computing and Information Systems, University of Melbourne, Victoria, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
David B. Ascher
1Structural Biology and Bioinformatics, Department of Biochemistry, Bio21 Institute, University of Melbourne, Victoria, Australia
2Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Victoria, Australia
4Department of Biochemistry, University of Cambridge, Cambridge, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for David B. Ascher
  • For correspondence: david.ascher@unimelb.edu.au
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

SUMMARY

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/).

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • http://biosig.unimelb.edu.au/covid3d/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted May 30, 2020.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
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 Silk, Azadeh Alavi, Douglas E.V. Pires, David B. Ascher
bioRxiv 2020.05.29.124610; doi: https://doi.org/10.1101/2020.05.29.124610
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
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 Silk, Azadeh Alavi, Douglas E.V. Pires, David B. Ascher
bioRxiv 2020.05.29.124610; doi: https://doi.org/10.1101/2020.05.29.124610

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4115)
  • Biochemistry (8818)
  • Bioengineering (6522)
  • Bioinformatics (23466)
  • Biophysics (11792)
  • Cancer Biology (9212)
  • Cell Biology (13326)
  • Clinical Trials (138)
  • Developmental Biology (7439)
  • Ecology (11413)
  • Epidemiology (2066)
  • Evolutionary Biology (15155)
  • Genetics (10439)
  • Genomics (14045)
  • Immunology (9173)
  • Microbiology (22159)
  • Molecular Biology (8814)
  • Neuroscience (47581)
  • Paleontology (350)
  • Pathology (1429)
  • Pharmacology and Toxicology (2492)
  • Physiology (3731)
  • Plant Biology (8082)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2221)
  • Systems Biology (6039)
  • Zoology (1253)