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Zachary Wu
Zachary Wu
Research Scientist, DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
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
21662021
Machine-learning-guided directed evolution for protein engineering
KK Yang, Z Wu, FH Arnold
Nature methods 16 (8), 687-694, 2019
8652019
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
5062019
Learned protein embeddings for machine learning
KK Yang, Z Wu, CN Bedbrook, FH Arnold
Bioinformatics 34 (15), 2642-2648, 2018
3222018
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
2402024
Protein sequence design with deep generative models
Z Wu, KE Johnston, FH Arnold, KK Yang
Current opinion in chemical biology 65, 18-27, 2021
1292021
Advances in machine learning for directed evolution
BJ Wittmann, KE Johnston, Z Wu, FH Arnold
Current opinion in structural biology 69, 11-18, 2021
1242021
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
972018
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
802020
Machine learning in protein engineering
KK Yang, Z Wu, FH Arnold
arXiv preprint arXiv:1811.10775, 2018
202018
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
62023
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
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Articles 1–17