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Zachary Wu

Showing results (1-10 of 12) with videos related to

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Nature Methods|July 17, 2019
Machine-learning-guided directed evolution for protein engineeringKevin K Yang, Zachary Wu, Frances H Arnold
Bioinformatics (Oxford, England)|March 28, 2018
Learned protein embeddings for machine learningKevin K Yang, Zachary Wu, Claire N Bedbrook, et al.
Current Opinion in Chemical Biology|May 29, 2021
Protein sequence design with deep generative modelsZachary Wu, Kadina E Johnston, Frances H Arnold, et al.
Bioinformatics (Oxford, England)|June 23, 2018
Learned protein embeddings for machine learningKevin K Yang, Zachary Wu, Claire N Bedbrook, et al.
Current Opinion in Structural Biology|March 1, 2021
Advances in machine learning for directed evolutionBruce J Wittmann, Kadina E Johnston, Zachary Wu, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 14, 2019
Machine learning-assisted directed protein evolution with combinatorial librariesZachary Wu, S B Jennifer Kan, Russell D Lewis, et al.
Arxiv|June 9, 2023
Machine Learning for Protein EngineeringKadina E Johnston, Clara Fannjiang, Bruce J Wittmann, et al.
ACS Synthetic Biology|July 11, 2020
Signal Peptides Generated by Attention-Based Neural NetworksZachary Wu, Kevin K Yang, Michael J Liszka, et al.
Advanced Materials (Deerfield Beach, Fla.)|October 31, 2014
Graphene nanoribbons under mechanical strainChangxin Chen, Justin Zachary Wu, Kai Tak Lam, et al.
Nature|July 22, 2021
Highly accurate protein structure prediction for the human proteomeKathryn Tunyasuvunakool, Jonas Adler, Zachary Wu, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Nature Methods|July 17, 2019
Machine-learning-guided directed evolution for protein engineeringKevin K Yang, Zachary Wu, Frances H Arnold
Bioinformatics (Oxford, England)|March 28, 2018
Learned protein embeddings for machine learningKevin K Yang, Zachary Wu, Claire N Bedbrook, et al.
Current Opinion in Chemical Biology|May 29, 2021
Protein sequence design with deep generative modelsZachary Wu, Kadina E Johnston, Frances H Arnold, et al.
Bioinformatics (Oxford, England)|June 23, 2018
Learned protein embeddings for machine learningKevin K Yang, Zachary Wu, Claire N Bedbrook, et al.
Current Opinion in Structural Biology|March 1, 2021
Advances in machine learning for directed evolutionBruce J Wittmann, Kadina E Johnston, Zachary Wu, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 14, 2019
Machine learning-assisted directed protein evolution with combinatorial librariesZachary Wu, S B Jennifer Kan, Russell D Lewis, et al.
Arxiv|June 9, 2023
Machine Learning for Protein EngineeringKadina E Johnston, Clara Fannjiang, Bruce J Wittmann, et al.
ACS Synthetic Biology|July 11, 2020
Signal Peptides Generated by Attention-Based Neural NetworksZachary Wu, Kevin K Yang, Michael J Liszka, et al.
Advanced Materials (Deerfield Beach, Fla.)|October 31, 2014
Graphene nanoribbons under mechanical strainChangxin Chen, Justin Zachary Wu, Kai Tak Lam, et al.
Nature|July 22, 2021
Highly accurate protein structure prediction for the human proteomeKathryn Tunyasuvunakool, Jonas Adler, Zachary Wu, et al.
Pageof 2