| Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering J Yang, FZ Li, A Frances H. ACS Cent. Sci., 2024 | 68 | 2024 |
| Iterative screening methodology enables isolation of strains with improved properties for a FACS-based screen and increased L-DOPA production J Savitskaya, RJ Protzko, FZ Li, AP Arkin, JE Dueber Scientific reports 9 (1), 5815, 2019 | 38 | 2019 |
| Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models FZ Li, AP Amini, Y Yue, KK Yang, AX Lu Proceedings of the 41st International Conference on Machine Learning 235 …, 2024 | 36* | 2024 |
| DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering J Yang, J Ducharme, KE Johnston, FZ Li, Y Yue, FH Arnold ACS Synthetic Biology 12 (8), 2444-2454, 2023 | 16 | 2023 |
| Pretrained protein language model transfer learning: is the final layer representation what we want FZ Li, AP Amini, KK Yang, AX Lu Proc. Mach. Learn. for Struct. Biol. Work. NeurIPS 2022, 2022 | 6 | 2022 |
| Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes FZ Li, J Yang, K Johnston, E Gursoy, Y Yue, F Arnold bioRxiv, 2024.10. 24.619774, 2024 | 2 | 2024 |
| LevSeq: Rapid Generation of Sequence-Function Data for Directed Evolution and Machine Learning Y Long, A Mora, FZ Li, E Gürsoy, KE Johnston, FH Arnold ACS Synthetic Biology, 2024 | 2 | 2024 |
| Two-dimensional multiplexed assay for rapid and deep SARS-CoV-2 serology profiling and for machine learning prediction of neutralization capacity A Koide, T Panchenko, C Wang, SA Thannickal, LA Romero, KW Teng, ... bioRxiv, 2021 | | 2021 |
