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Recent Advances in Machine Learning Variant Effect Prediction Tools for Protein Engineering
Author(s) -
Jesse Horne,
Diwakar Shukla
Publication year - 2022
Publication title -
industrial and engineering chemistry research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.878
H-Index - 221
eISSN - 1520-5045
pISSN - 0888-5885
DOI - 10.1021/acs.iecr.1c04943
Subject(s) - protein engineering , epistasis , computer science , function (biology) , protein design , computational biology , artificial intelligence , machine learning , protein function prediction , protein function , protein structure prediction , directed evolution , protein sequencing , protein structure , biology , peptide sequence , genetics , gene , biochemistry , mutant , enzyme

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