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Bruce J Wittmann

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

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Cell Systems|August 20, 2021
Informed training set design enables efficient machine learning-assisted directed protein evolutionBruce J Wittmann, Yisong Yue, Frances H Arnold
Current Opinion in Structural Biology|March 1, 2021
Advances in machine learning for directed evolutionBruce J Wittmann, Kadina E Johnston, Zachary Wu, et al.
ACS Synthetic Biology|February 17, 2022
evSeq: Cost-Effective Amplicon Sequencing of Every Variant in a Protein LibraryBruce J Wittmann, Kadina E Johnston, Patrick J Almhjell, et al.
Photosynthesis Research|June 10, 2016
Transcriptomic analysis illuminates genes involved in chlorophyll synthesis after nitrogen starvation in Acaryochloris sp. CCMEE 5410Aki Yoneda, Bruce J Wittmann, Jeremy D King, 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.
Frontiers in Bioengineering and Biotechnology|June 8, 2026
A perspective and demonstration of an approach to screening synthetic nucleic acid orders containing short nucleic acid sequencesBryan T Gemler, Kevin Flyangolts, James Diggans, et al.
ACS Catalysis|December 7, 2020
Diversity-Oriented Enzymatic Synthesis of Cyclopropane Building BlocksBruce J Wittmann, Anders M Knight, Julie L Hofstra, et al.
Science (New York, N.Y.)|October 2, 2025
Strengthening nucleic acid biosecurity screening against generative protein design toolsBruce J Wittmann, Tessa Alexanian, Craig Bartling, et al.
Nature Biotechnology|September 25, 2024
Multistate and functional protein design using RoseTTAFold sequence space diffusionSidney Lyayuga Lisanza, Jacob Merle Gershon, Samuel W K Tipps, et al.
Pageof 2

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

Sort By:
Pageof 2
Cell Systems|August 20, 2021
Informed training set design enables efficient machine learning-assisted directed protein evolutionBruce J Wittmann, Yisong Yue, Frances H Arnold
Current Opinion in Structural Biology|March 1, 2021
Advances in machine learning for directed evolutionBruce J Wittmann, Kadina E Johnston, Zachary Wu, et al.
ACS Synthetic Biology|February 17, 2022
evSeq: Cost-Effective Amplicon Sequencing of Every Variant in a Protein LibraryBruce J Wittmann, Kadina E Johnston, Patrick J Almhjell, et al.
Photosynthesis Research|June 10, 2016
Transcriptomic analysis illuminates genes involved in chlorophyll synthesis after nitrogen starvation in Acaryochloris sp. CCMEE 5410Aki Yoneda, Bruce J Wittmann, Jeremy D King, 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.
Frontiers in Bioengineering and Biotechnology|June 8, 2026
A perspective and demonstration of an approach to screening synthetic nucleic acid orders containing short nucleic acid sequencesBryan T Gemler, Kevin Flyangolts, James Diggans, et al.
ACS Catalysis|December 7, 2020
Diversity-Oriented Enzymatic Synthesis of Cyclopropane Building BlocksBruce J Wittmann, Anders M Knight, Julie L Hofstra, et al.
Science (New York, N.Y.)|October 2, 2025
Strengthening nucleic acid biosecurity screening against generative protein design toolsBruce J Wittmann, Tessa Alexanian, Craig Bartling, et al.
Nature Biotechnology|September 25, 2024
Multistate and functional protein design using RoseTTAFold sequence space diffusionSidney Lyayuga Lisanza, Jacob Merle Gershon, Samuel W K Tipps, et al.
Pageof 2