Moorhoff, Felix; Zhang, Yanzi; Qiu, Sizhe; Dong, Wenjuan; Medina-Ortiz, David; Zhao, Jing; Davari, Mehdi D. Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Artikel In: ACS CATALYSIS, Bd. 16, Nr. 1, S. 12-30, 2026, ISSN: 2155-5435. @article{WOS:001643722100001,
title = {Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives},
author = {Felix Moorhoff and Yanzi Zhang and Sizhe Qiu and Wenjuan Dong and David Medina-Ortiz and Jing Zhao and Mehdi D. Davari},
doi = {10.1021/acscatal.5c04814},
issn = {2155-5435},
year = {2026},
date = {2026-01-01},
urldate = {2026-01-01},
journal = {ACS CATALYSIS},
volume = {16},
number = {1},
pages = {12-30},
keywords = {Biocatalysis, DiP-BioCasNavi, Enzyme discovery, Machine learning},
pubstate = {published},
tppubtype = {article}
}
|
Herrera-Rocha, Fabio; Medina-Ortiz, David; Mauz, Fabian; Pleiss, Juergen; Davari, Mehdi D. Best Practices for Machine Learning-Assisted Protein Engineering Artikel In: JOURNAL OF CHEMICAL INFORMATION AND MODELING, Bd. 65, Nr. 23, S. 12655-12667, 2025, ISSN: 1549-9596. @article{WOS:001616552400001,
title = {Best Practices for Machine Learning-Assisted Protein Engineering},
author = {Fabio Herrera-Rocha and David Medina-Ortiz and Fabian Mauz and Juergen Pleiss and Mehdi D. Davari},
doi = {10.1021/acs.jcim.5c01983},
issn = {1549-9596},
year = {2025},
date = {2025-12-01},
urldate = {2025-12-01},
journal = {JOURNAL OF CHEMICAL INFORMATION AND MODELING},
volume = {65},
number = {23},
pages = {12655-12667},
keywords = {DiP-LeFos, Machine learning, Optimization, Protein engineering},
pubstate = {published},
tppubtype = {article}
}
|