SubTuner leverages physics-based modeling to complement AI in enzyme engineering toward non-native substrates
Qianzhen Shao
1
,
Asher C. Hollenbeak
2, 3
,
Yaoyukun Jiang
1
,
Xinchun Ran
1
,
Brian O Bachmann
1, 2, 3
,
Zhongyue J. Yang
1, 2, 4, 5, 6
Publication type: Journal Article
Publication date: 2025-06-01
scimago Q1
wos Q1
SJR: 3.710
CiteScore: 16.4
Impact factor: 11.6
ISSN: 26671093, 26671107
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Shao Q. et al. SubTuner leverages physics-based modeling to complement AI in enzyme engineering toward non-native substrates // Chem Catalysis. 2025. Vol. 5. No. 6. p. 101334.
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Shao Q., Hollenbeak A. C., Jiang Y., Ran X., Bachmann B. O., Yang Z. J. SubTuner leverages physics-based modeling to complement AI in enzyme engineering toward non-native substrates // Chem Catalysis. 2025. Vol. 5. No. 6. p. 101334.
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TY - JOUR
DO - 10.1016/j.checat.2025.101334
UR - https://linkinghub.elsevier.com/retrieve/pii/S2667109325000727
TI - SubTuner leverages physics-based modeling to complement AI in enzyme engineering toward non-native substrates
T2 - Chem Catalysis
AU - Shao, Qianzhen
AU - Hollenbeak, Asher C.
AU - Jiang, Yaoyukun
AU - Ran, Xinchun
AU - Bachmann, Brian O
AU - Yang, Zhongyue J.
PY - 2025
DA - 2025/06/01
PB - Elsevier
SP - 101334
IS - 6
VL - 5
SN - 2667-1093
SN - 2667-1107
ER -
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@article{2025_Shao,
author = {Qianzhen Shao and Asher C. Hollenbeak and Yaoyukun Jiang and Xinchun Ran and Brian O Bachmann and Zhongyue J. Yang},
title = {SubTuner leverages physics-based modeling to complement AI in enzyme engineering toward non-native substrates},
journal = {Chem Catalysis},
year = {2025},
volume = {5},
publisher = {Elsevier},
month = {jun},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2667109325000727},
number = {6},
pages = {101334},
doi = {10.1016/j.checat.2025.101334}
}
Cite this
MLA
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Shao, Qianzhen, et al. “SubTuner leverages physics-based modeling to complement AI in enzyme engineering toward non-native substrates.” Chem Catalysis, vol. 5, no. 6, Jun. 2025, p. 101334. https://linkinghub.elsevier.com/retrieve/pii/S2667109325000727.
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