Highly accurate protein structure prediction for the human proteome K Tunyasuvunakool, J Adler, Z Wu, T Green, M Zielinski, A Žídek, ... Nature 596 (7873), 590-596, 2021 | 2237 | 2021 |
Machine-learning-guided directed evolution for protein engineering KK Yang, Z Wu, FH Arnold Nature methods 16 (8), 687-694, 2019 | 895 | 2019 |
Accurate structure prediction of biomolecular interactions with AlphaFold 3 J Abramson, J Adler, J Dunger, R Evans, T Green, A Pritzel, ... Nature, 1-3, 2024 | 559 | 2024 |
Machine learning-assisted directed protein evolution with combinatorial libraries Z Wu, SBJ Kan, RD Lewis, BJ Wittmann, FH Arnold Proceedings of the National Academy of Sciences 116 (18), 8852-8858, 2019 | 526 | 2019 |
Learned protein embeddings for machine learning KK Yang, Z Wu, CN Bedbrook, FH Arnold Bioinformatics 34 (15), 2642-2648, 2018 | 337 | 2018 |
Protein sequence design with deep generative models Z Wu, KE Johnston, FH Arnold, KK Yang Current opinion in chemical biology 65, 18-27, 2021 | 133 | 2021 |
Advances in machine learning for directed evolution BJ Wittmann, KE Johnston, Z Wu, FH Arnold Current opinion in structural biology 69, 11-18, 2021 | 131 | 2021 |
Stereoselective enzymatic synthesis of heteroatom-substituted cyclopropanes OF Brandenberg, CK Prier, K Chen, AM Knight, Z Wu, FH Arnold ACS Catalysis 8 (4), 2629-2634, 2018 | 98 | 2018 |
Signal peptides generated by attention-based neural networks Z Wu, KK Yang, MJ Liszka, A Lee, A Batzilla, D Wernick, DP Weiner, ... ACS Synthetic Biology 9 (8), 2154-2161, 2020 | 84 | 2020 |
Machine learning in protein engineering KK Yang, Z Wu, FH Arnold arXiv preprint arXiv:1811.10775, 2018 | 20 | 2018 |
Machine learning for protein engineering KE Johnston, C Fannjiang, BJ Wittmann, BL Hie, KK Yang, Z Wu Machine Learning in Molecular Sciences, 277-311, 2023 | 8 | 2023 |
Systems, methods, and apparatuses to predict pairs of enzyme primary sequences and substrates and an interaction probability for each predicted pair AS Ford, Z Wu, CL Price, F Seeger, YLA Sim US Patent 11,929,152, 2024 | | 2024 |
Systems and methods for generating a signal peptide amino acid sequence using deep learning M Liszka, WU Zachary, K Yang US Patent App. 18/007,987, 2023 | | 2023 |
Novel signal peptides generated by attention-based neural networks M Liszka, A Batzilla, WU Zachary, F Arnold US Patent App. 18/008,033, 2023 | | 2023 |
Data-Driven Protein Engineering Z Wu California Institute of Technology, 2021 | | 2021 |
Machine Learning-Assisted Directed Evolution of Proteins B List, JL Kennemur Synfacts 15 (07), 0795, 2019 | | 2019 |
Machine Learning for Improved Directed Evolution Efficiency and Outcome BJ Wittmann, Z Wu, F Arnold | | |