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Journal Articles
- 2021
[j1]Alexander Rives
, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus:
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118(15): e2016239118 (2021)
Conference and Workshop Papers
- 2022
- [c5]Chloe Hsu, Robert Verkuil, Jason Liu, Zeming Lin, Brian Hie, Tom Sercu, Adam Lerer, Alexander Rives:
Learning inverse folding from millions of predicted structures. ICML 2022: 8946-8970 - 2021
- [c4]Roshan Rao, Joshua Meier, Tom Sercu, Sergey Ovchinnikov, Alexander Rives:
Transformer protein language models are unsupervised structure learners. ICLR 2021 - [c3]Roshan Rao, Jason Liu, Robert Verkuil, Joshua Meier, John F. Canny, Pieter Abbeel, Tom Sercu, Alexander Rives:
MSA Transformer. ICML 2021: 8844-8856 - [c2]Joshua Meier, Roshan Rao, Robert Verkuil, Jason Liu, Tom Sercu, Alexander Rives:
Language models enable zero-shot prediction of the effects of mutations on protein function. NeurIPS 2021: 29287-29303 - 2020
- [c1]Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives:
Energy-based models for atomic-resolution protein conformations. ICLR 2020
Parts in Books or Collections
- 2005
- [p1]Long J. Lu, Yu Xia, Haiyuan Yu, Alexander Rives, Haoxin Lu, Falk Schubert, Mark Gerstein:
Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis. Data Analysis and Visualization in Genomics and Proteomics 2005: 61-81
Informal and Other Publications
- 2020
- [i1]Yilun Du, Joshua Meier, Jerry Ma, Rob Fergus, Alexander Rives:
Energy-based models for atomic-resolution protein conformations. CoRR abs/2004.13167 (2020)
Coauthor Index
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