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Francesca-Zhoufan Li

Showing results (1-10 of 9) with videos related to

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ACS Central Science|March 4, 2024
Opportunities and Challenges for Machine Learning-Assisted Enzyme EngineeringJason Yang, Francesca-Zhoufan Li, Frances H Arnold
Cell Systems|August 27, 2025
Illuminating the universe of enzyme catalysis in the era of artificial intelligenceJason Yang, Francesca-Zhoufan Li, Yueming Long, et al.
ACS Synthetic Biology|December 24, 2024
LevSeq: Rapid Generation of Sequence-Function Data for Directed Evolution and Machine LearningYueming Long, Ariane Mora, Francesca-Zhoufan Li, et al.
Scientific Reports|April 11, 2019
Iterative screening methodology enables isolation of strains with improved properties for a FACS-based screen and increased L-DOPA productionJudy Savitskaya, Ryan J Protzko, Francesca-Zhoufan Li, et al.
ACS Synthetic Biology|July 31, 2023
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein EngineeringJason Yang, Julie Ducharme, Kadina E Johnston, et al.
Cell Systems|September 11, 2025
Evaluation of machine learning-assisted directed evolution across diverse combinatorial landscapesFrancesca-Zhoufan Li, Jason Yang, Kadina E Johnston, et al.
ACS Synthetic Biology|January 17, 2024
Correction to "DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering"Jason Yang, Julie Ducharme, Kadina E Johnston, et al.
Nucleic Acids Research|December 8, 2025
Enzyme Engineering Database (EnzEngDB): a platform for sharing and interpreting sequence-function relationships across protein engineering campaignsYueming Long, Fatemeh Abbasinejad, Francesca-Zhoufan Li, et al.
Biorxiv : the Preprint Server for Biology|August 10, 2021
Two-dimensional multiplexed assay for rapid and deep SARS-CoV-2 serology profiling and for machine learning prediction of neutralization capacityAkiko Koide, Tatyana Panchenko, Chan Wang, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
ACS Central Science|March 4, 2024
Opportunities and Challenges for Machine Learning-Assisted Enzyme EngineeringJason Yang, Francesca-Zhoufan Li, Frances H Arnold
Cell Systems|August 27, 2025
Illuminating the universe of enzyme catalysis in the era of artificial intelligenceJason Yang, Francesca-Zhoufan Li, Yueming Long, et al.
ACS Synthetic Biology|December 24, 2024
LevSeq: Rapid Generation of Sequence-Function Data for Directed Evolution and Machine LearningYueming Long, Ariane Mora, Francesca-Zhoufan Li, et al.
Scientific Reports|April 11, 2019
Iterative screening methodology enables isolation of strains with improved properties for a FACS-based screen and increased L-DOPA productionJudy Savitskaya, Ryan J Protzko, Francesca-Zhoufan Li, et al.
ACS Synthetic Biology|July 31, 2023
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein EngineeringJason Yang, Julie Ducharme, Kadina E Johnston, et al.
Cell Systems|September 11, 2025
Evaluation of machine learning-assisted directed evolution across diverse combinatorial landscapesFrancesca-Zhoufan Li, Jason Yang, Kadina E Johnston, et al.
ACS Synthetic Biology|January 17, 2024
Correction to "DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering"Jason Yang, Julie Ducharme, Kadina E Johnston, et al.
Nucleic Acids Research|December 8, 2025
Enzyme Engineering Database (EnzEngDB): a platform for sharing and interpreting sequence-function relationships across protein engineering campaignsYueming Long, Fatemeh Abbasinejad, Francesca-Zhoufan Li, et al.
Biorxiv : the Preprint Server for Biology|August 10, 2021
Two-dimensional multiplexed assay for rapid and deep SARS-CoV-2 serology profiling and for machine learning prediction of neutralization capacityAkiko Koide, Tatyana Panchenko, Chan Wang, et al.
Pageof 1