Deep learning of protein sequence design of protein–protein interactions
Author:
Affiliation:
1. Department of Pharmaceutical and Biomedical Sciences, University of Georgia , Athens, GA 30602, USA
2. Institute of Bioinformatics, University of Georgia , Athens, GA 30602, USA
Abstract
Funder
National Institutes of Health
NIH
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btac733/47464951/btac733.pdf
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3. Protein sequence design with a learned potential;Anand;Nat. Commun.,2022
4. Accurate prediction of protein structures and interactions using a three-track neural network;Baek;Science,2021
5. The protein data bank;Berman;Nucleic Acids Res,2000
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