Jason Yang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Protein Protein

Machine Learning

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

ACS synthetic biology

Science advances

ACS central science

This page only lists publications with an associated author ORCID identifier.

Publications

Kadina E Johnston, Patrick J Almhjell, Ella J Watkins, Grace Liu, Nicholas J Porter, Jason Yang, Frances H Arnold
A combinatorially complete epistatic fitness landscape in an enzyme active site. Proceedings of the National Academy of Sciences of the United States of America 121 (32) (2024)
Jason Yang, Julie Ducharme, Kadina E Johnston, Francesca-Zhoufan Li, Yisong Yue, Frances H Arnold
Correction to "DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering". ACS synthetic biology (2024)
Jason Yang, Julie Ducharme, Kadina E Johnston, Francesca-Zhoufan Li, Yisong Yue, Frances H Arnold
Correction to "DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering". ACS synthetic biology 13 (2) (2024)
Jason Yang, Francesca-Zhoufan Li, Frances H Arnold
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering. ACS central science 10 (2) (2024)
Kadina E Johnston, Patrick J Almhjell, Ella J Watkins, Grace Liu, Nicholas J Porter, Jason Yang, Frances H Arnold
A combinatorially complete epistatic fitness landscape in an enzyme active site. Proceedings of the National Academy of Sciences of the United States of America 121 (32) (2024)
Kadina E Johnston, Patrick J Almhjell, Ella J Watkins, Grace Liu, Nicholas J Porter, Jason Yang, Frances H Arnold
A combinatorially complete epistatic fitness landscape in an enzyme active site. Proceedings of the National Academy of Sciences of the United States of America 121 (32) (2024)
Jason Yang, Francesca-Zhoufan Li, Frances H Arnold
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering. ACS central science 10 (2) (2024)
Jason Yang, Julie Ducharme, Kadina E Johnston, Francesca-Zhoufan Li, Yisong Yue, Frances H Arnold
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering. ACS synthetic biology (2023)
Jason Yang, Lei Tao, Jinlong He, Jeffrey R McCutcheon, Ying Li
Machine learning enables interpretable discovery of innovative polymers for gas separation membranes. Science advances 8 (29) (2022)
Ryan M DuChanois, Mohammad Heiranian, Jason Yang, Cassandra J Porter, Qilin Li, Xuan Zhang, Rafael Verduzco, Menachem Elimelech
Designing polymeric membranes with coordination chemistry for high-precision ion separations. Science advances 8 (9) (2022)