| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences A Rives, J Meier, T Sercu, S Goyal, Z Lin, D Guo, M Ott, CL Zitnick, J Ma, ... bioRxiv, 622803, 2019 | 2247 | 2019 |
| MSA Transformer R Rao, J Liu, R Verkuil, J Meier, JF Canny, P Abbeel, T Sercu, A Rives bioRxiv, 2021 | 642 | 2021 |
| 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 | 597 | 2021 |
| Transformer protein language models are unsupervised structure learners R Rao, J Meier, T Sercu, S Ovchinnikov, A Rives International Conference on Learning Representations, 2020 | 327 | 2020 |
| Evaluating reinforcement learning algorithms in observational health settings O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018 | 142 | 2018 |
| GUIDES: sgRNA design for loss-of-function screens JA Meier, F Zhang, NE Sanjana Nature methods 14 (9), 831, 2017 | 95 | 2017 |
| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. bioRxiv. 2019 A Rives, J Meier, T Sercu, S Goyal, Z Lin, D Guo, M Ott, CL Zitnick, J Ma, ... doi 10 (622803), 622803, 0 | 72 | |
| Energy-based models for atomic-resolution protein conformations Y Du, J Meier, J Ma, R Fergus, A Rives International Conference on Learning Representation (ICLR), 2020 | 61 | 2020 |
| Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness S Bachas, G Rakocevic, D Spencer, AV Sastry, R Haile, JM Sutton, ... bioRxiv, 2022 | 47 | 2022 |
| Unlocking de novo antibody design with generative artificial intelligence A Shanehsazzadeh, S Bachas, G Kasun, JM Sutton, AK Steiger, R Shuai, ... bioRxiv, 2023.01. 08.523187, 2023 | 46 | 2023 |
| Chai-1: Decoding the molecular interactions of life Chai Discovery (Chai), J Boitreaud, J Dent, M McPartlon, J Meier, V Reis, ... bioRxiv, 2024.10. 10.615955, 2024 | 15 | 2024 |
| Deep learning-based codon optimization with large-scale synonymous variant datasets enables generalized tunable protein expression DA Constant, JM Gutierrez, AV Sastry, R Viazzo, NR Smith, J Hossain, ... bioRxiv, 2023.02. 11.528149, 2023 | 14 | 2023 |
| Neural Potts Model T Sercu, R Verkuil, J Meier, B Amos, Z Lin, C Chen, J Liu, Y LeCun, ... bioRxiv, 2021 | 12 | 2021 |
| In vitro validated antibody design against multiple therapeutic antigens using generative inverse folding A Shanehsazzadeh, J Alverio, G Kasun, S Levine, JA Khan, C Chung, ... bioRxiv, 2023.12. 08.570889, 2023 | 6 | 2023 |
| CRISPR-Cas9 Screens Reveal Genes Regulating a G0-like State in Human Neural Progenitors HM Feldman, CM Toledo, S Arora, P Hoellerbauer, P Corrin, L Carter, ... | 3 | 2018 |
| Zero-effort Two-factor Authentication using Audio Signals J Meier, J Zhang, R Zou, J Mickens 2017 International Symposium on Cyber Security Cryptography and Machine …, 2017 | 2 | 2017 |
| Designing biomolecule sequence variants with pre-specified attributes R Spreafico, G Rakocevic, A Schwartz, J Meier US Patent App. 18/046,849, 2023 | 1 | 2023 |
| Methods for designing guide sequences for guided nucleases N Sanjana, F Zhang, JA Meier US Patent App. 16/621,085, 2020 | 1 | 2020 |
| Neural G0: a quiescent-like state found in neuroepithelial-derived cells and glioma HM Feldman, CM Toledo, S Arora, P Hoellerbauer, P Corrin, L Carter, ... BioRxiv, 446344, 2019 | | 2019 |
| The Missing Genome: Mitochondrial DNA Deletions in Stem Cells J Meier, A Calabro, C Queenan, R Pergolizzi Microscopy and Microanalysis 19 (S2), 24-25, 2013 | | 2013 |
