Robert Verkuil
New York Consortium in Evolutionary Primatology(US)
Publications by Year
Research Areas
Machine Learning in Bioinformatics, Genomics and Phylogenetic Studies, RNA and protein synthesis mechanisms, Protein Structure and Dynamics, Reinforcement Learning in Robotics
Most-Cited Works
- → Evolutionary-scale prediction of atomic-level protein structure with a language model(2023)4,360 cited
- → Language models enable zero-shot prediction of the effects of mutations on protein function(2021)641 cited
- → Evolutionary-scale prediction of atomic level protein structure with a language model(2022)527 cited
- → Simulating 500 million years of evolution with a language model(2025)481 cited
- → Learning inverse folding from millions of predicted structures(2022)400 cited
- → MSA Transformer(2021)336 cited
- → Language models generalize beyond natural proteins(2022)191 cited
- → Neural Potts Model(2021)8 cited