New Results

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Soumya Sanyal, Ivan Anishchenko, Anirudh Dagar, David Baker, Partha Talukdar
doi: https://doi.org/10.1101/2020.04.06.028266

Article Information

doi 
https://doi.org/10.1101/2020.04.06.028266
History 
  • April 7, 2020.
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 4.0 International license.

Author Information

  1. Soumya Sanyal1,*,
  2. Ivan Anishchenko2,3,
  3. Anirudh Dagar4,
  4. David Baker2,3 and
  5. Partha Talukdar1
  1. 1Indian Institute of Science, Bangalore
  2. 2Department of Biochemistry, University of Washington, Seattle, WA 98105
  3. 3Institute for Protein Design, University of Washington, Seattle, WA 98105
  4. 4Indian Institute of Technology, Roorkee
  1. ↵*Corresponding author; email: sanyal.soumya8{at}gmail.com
Back to top
Posted April 07, 2020.
Download PDF

Supplementary Material

Email
ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Soumya Sanyal, Ivan Anishchenko, Anirudh Dagar, David Baker, Partha Talukdar
bioRxiv 2020.04.06.028266; doi: https://doi.org/10.1101/2020.04.06.028266
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools

Subject Area