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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
Soumya Sanyal
1Indian Institute of Science, Bangalore
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  • For correspondence: sanyal.soumya8@gmail.com
Ivan Anishchenko
2Department of Biochemistry, University of Washington, Seattle, WA 98105
3Institute for Protein Design, University of Washington, Seattle, WA 98105
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Anirudh Dagar
4Indian Institute of Technology, Roorkee
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David Baker
2Department of Biochemistry, University of Washington, Seattle, WA 98105
3Institute for Protein Design, University of Washington, Seattle, WA 98105
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Partha Talukdar
1Indian Institute of Science, Bangalore
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Posted April 07, 2020.
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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
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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

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