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Alexander Rives
Alexander Rives
Verified email at cs.nyu.edu
Title
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Cited by
Year
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
A Rives, S Goyal, J Meier, D Guo, M Ott, CL Zitnick, J Ma, R Fergus
bioRxiv, 622803, 2019
16192019
Evolutionary-scale prediction of atomic level protein structure with a language model
Z Lin, H Akin, R Rao, B Hie, Z Zhu, W Lu, N Smetanin, R Verkuil, O Kabeli, ...
bioRxiv, 2022
1437*2022
Modular organization of cellular networks
AW Rives, T Galitski
Proceedings of the National Academy of Sciences 100 (3), 1128-1133, 2003
9732003
MSA Transformer
R Rao, J Liu, R Verkuil, J Meier, JF Canny, P Abbeel, T Sercu, A Rives
bioRxiv, 2021
4752021
Language models enable zero-shot prediction of the effects of mutations on protein function
J Meier, R Rao, R Verkuil, J Liu, T Sercu, A Rives
bioRxiv, 2021
3732021
Transformer protein language models are unsupervised structure learners
R Rao, J Meier, T Sercu, S Ovchinnikov, A Rives
bioRxiv, 2020
2482020
Learning inverse folding from millions of predicted structures
C Hsu, R Verkuil, J Liu, Z Lin, B Hie, T Sercu, A Lerer, A Rives
bioRxiv, 2022
2402022
Derivation of genetic interaction networks from quantitative phenotype data
BL Drees, V Thorsson, GW Carter, AW Rives, MZ Raymond, ...
Genome biology 6 (4), 1-10, 2005
1552005
Energy-based models for atomic-resolution protein conformations
Y Du, J Meier, J Ma, R Fergus, A Rives
International Conference on Learning Representations, 2020
572020
Language models generalize beyond natural proteins
R Verkuil, O Kabeli, Y Du, BIM Wicky, LF Milles, J Dauparas, D Baker, ...
bioRxiv, 2022
532022
A high-level programming language for generative protein design
B Hie, S Candido, Z Lin, O Kabeli, R Rao, N Smetanin, T Sercu, A Rives
bioRxiv, 2022
252022
Deep generative models create new and diverse protein structures
Z Lin, T Sercu, Y LeCun, A Rives
Machine Learning for Structural Biology Workshop, NeurIPS, 2021
182021
Neural Potts Model
T Sercu, R Verkuil, J Meier, B Amos, Z Lin, C Chen, J Liu, Y LeCun, ...
bioRxiv, 2021
112021
Seq2MSA: A language model for protein sequence diversification
P Sturmfels, R Rao, R Verkuil, Z Lin, O Kabeli, T Sercu, A Lerer, A Rives
2022
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