PreprintCC BY-NCChemRxiv
A substrate-first-enzymology deep-learning framework
- 1State Key Laboratory of Bioreactor Engineering, School of Biotechnology, China University of Science and Technology, 130 Meilong Road, Shanghai, China, 200237
- 2School of Information Science and Engineering, East China University of Science, 130 Meilong Road, Shanghai, China, 200237
- 3Biotechnology Institute, University of Minnesota, 1479 Gortner Avenue, Saint Paul, Minnesota, 55108
Abstract
29 Enzyme activity data favor familiar substrates and positive outcomes, creating 30
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BibTeX
@misc{zhao2026substratefirstenzymology,
title = {{A substrate-first-enzymology deep-learning framework}},
author = {You-Xue Zhao and Hao-Yue Wang and Luo-Bing Meng and Yu-Xin Jia and Xi-Ruo Li and Jia-Ming Yang and Romas J. Kazlauskas and Gui-Sheng Fan and Jian-He Xu and Haoyue Wang},
howpublished = {ChemRxiv},
year = {2026},
month = sep,
doi = {10.26434/chemrxiv.15008807/v1},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008807/v1},
note = {CC BY-NC},
}
RIS
TY - UNPB
TI - A substrate-first-enzymology deep-learning framework
AU - You-Xue Zhao
AU - Hao-Yue Wang
AU - Luo-Bing Meng
AU - Yu-Xin Jia
AU - Xi-Ruo Li
AU - Jia-Ming Yang
AU - Romas J. Kazlauskas
AU - Gui-Sheng Fan
AU - Jian-He Xu
AU - Haoyue Wang
PY - 2026
DA - 2026/09/14
PB - ChemRxiv
DO - 10.26434/chemrxiv.15008807/v1
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008807/v1
AB - 29 Enzyme activity data favor familiar substrates and positive outcomes, creating 30
ER -