| Deep generative models of genetic variation capture the effects of mutations AJ Riesselman, JB Ingraham, DS Marks Nature methods 15 (10), 816-822, 2018 | 570 | 2018 |
| Protein design and variant prediction using autoregressive generative models JE Shin, AJ Riesselman, AW Kollasch, C McMahon, E Simon, C Sander, ... Nature communications 12 (1), 2403, 2021 | 333* | 2021 |
| The EVcouplings Python framework for coevolutionary sequence analysis TA Hopf, AG Green, B Schubert, S Mersmann, CPI Schärfe, JB Ingraham, ... Bioinformatics 35 (9), 1582-1584, 2019 | 217 | 2019 |
| 3D RNA and functional interactions from evolutionary couplings C Weinreb, AJ Riesselman, JB Ingraham, T Gross, C Sander, DS Marks Cell 165 (4), 963-975, 2016 | 188 | 2016 |
| Learning protein structure with a differentiable simulator J Ingraham, A Riesselman, C Sander, D Marks International conference on learning representations, 2018 | 162 | 2018 |
| Constitutive or seed‐specific overexpression of A rabidopsis G‐protein γ subunit 3 (AGG 3) results in increased seed and oil production and improved stress tolerance in C … S Roy Choudhury, AJ Riesselman, S Pandey Plant Biotechnology Journal 12 (1), 49-59, 2014 | 83 | 2014 |
| Large-scale recoding of a bacterial genome by iterative recombineering of synthetic DNA YH Lau, F Stirling, J Kuo, MAP Karrenbelt, YA Chan, A Riesselman, ... Nucleic acids research 45 (11), 6971-6980, 2017 | 70 | 2017 |
| Protein structure from experimental evolution MA Stiffler, FJ Poelwijk, KP Brock, RR Stein, A Riesselman, J Teyra, ... Cell Systems 10 (1), 15-24. e5, 2020 | 39 | 2020 |
| The future of cerebral organoids in drug discovery MR Salick, E Lubeck, A Riesselman, A Kaykas Seminars in Cell & Developmental Biology 111, 67-73, 2021 | 24 | 2021 |
| Regression modeling on DNA encoded libraries R Ma, GHS Dreiman, F Ruggiu, AJ Riesselman, B Liu, K James, M Sultan, ... NeurIPS 2021 AI for Science Workshop, 2021 | 8 | 2021 |
| Simultaneous enhancement of multiple functional properties using evolution-informed protein design B Fram, Y Su, I Truebridge, AJ Riesselman, JB Ingraham, A Passera, ... Nature Communications 15 (1), 5141, 2024 | 6 | 2024 |
| Predicting disease outcomes using machine learned models D Koller, A Kaykas, E Sharon, CGS Cotta-Ramusino, PF Palmedo, ... US Patent App. 17/350,761, 2021 | 5 | 2021 |
| Machine learning pipeline using dna-encoded library selections R Ma, G Dreiman, F Ruggiu, A Riesselman, B Liu, MM Sultan US Patent App. 17/971,366, 2023 | | 2023 |
| Building maps from genetic sequences to biological function AJ Riesselman Harvard University, 2019 | | 2019 |
