Protein matchmaking through representation learning.

TitleProtein matchmaking through representation learning.
Publication TypeJournal Article
Year of Publication2021
AuthorsHeinzinger, M, Dallago, C, Rost, B
JournalCell Syst
Volume12
Issue10
Pagination948-950
Date Published2021 Oct 20
ISSN2405-4720
Abstract

Sledzieski, Singh, Cowen, and Berger employ representation learning to predict protein interactions and associations, additionally identifying binding residues between protein pairs. Generalizability is showcased by training on one organism while evaluating on others. The work exemplifies how transfer of AI-learned representations can advance knowledge in molecular biology.

DOI10.1016/j.cels.2021.09.007
Alternate JournalCell Syst
PubMed ID34672956