Tom Sercu
0000-0003-2947-6064
Publication & Citation Trends
Publications
0 total
Simulating 500 million years of evolution with a language model. OA
Cited by 235
Semantic Scholar
Language models generalize beyond natural proteins OA
Cited by 170
Semantic Scholar
A high-level programming language for generative protein design OA
Cited by 60
Semantic Scholar
Evolutionary-scale prediction of atomic level protein structure with a language model OA
Cited by 4,179
Semantic Scholar
Learning inverse folding from millions of predicted structures OA
Cited by 545
Semantic Scholar
Author Correction: Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations OA
Cited by 6
Semantic Scholar
Language models enable zero-shot prediction of the effects of mutations on protein function OA
Cited by 802
Semantic Scholar
Research Topics
Machine Learning in Bioinformatics
(16)
Genomics and Phylogenetic Studies
(12)
Speech Recognition and Synthesis
(10)
RNA and protein synthesis mechanisms
(10)
Protein Structure and Dynamics
(9)
Affiliations
IBM (United States)
Meta (Israel)
Courant Institute of Mathematical Sciences
Protein Express (United States)
The Metropolitan Opera (United States)