An in silico method to assess antibody fragment polyreactivity EP Harvey, JE Shin, MA Skiba, GR Nemeth, JD Hurley, A Wellner, ... Nature Communications 13 (1), 7554, 2022 | 23 | 2022 |
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design P Notin, AW Kollasch, D Ritter, L Van Niekerk, S Paul, H Spinner, ... Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 | 9 | 2023 |
Protein design using structure-based residue preferences D Ding, A Shaw, S Sinai, N Rollins, N Prywes, DF Savage, MT Laub, ... bioRxiv, 2022.10. 31.514613, 2022 | 8 | 2022 |
Removing bias in sequence models of protein fitness A Shaw, H Spinner, S Gurev, JE Shin, N Rollins, DS Marks https://www.biorxiv.org/content/10.1101/2023.09.28.560044v1, 2023 | 3 | 2023 |
Deep learning prediction of enzyme optimum pH JE Gado, M Knotts, AY Shaw, D Marks, NP Gauthier, C Sander, ... bioRxiv, 2023.06. 22.544776, 2023 | 2 | 2023 |
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design https://neurips.cc/virtual/2023/poster/73578, 2023 | | 2023 |
Designing Proteins using Sparse Data A Shaw, JE Shin, NN Thadani, AN Amin, DS Marks NeurIPS 2022 Workshop on Learning Meaningful Representations of Life, 2022 | | 2022 |