A Novel Unsupervised Learning Model with Bayesian Hyperparameter Optimization for Predicting Substrates of Promiscuous Enzymes.
- DOI
- 10.1021/acsomega.5c11697
- Published
- 2026 Sep 8
- Container
- ACS omega
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1021/acsomega.5c11697,
title = {A Novel Unsupervised Learning Model with Bayesian Hyperparameter Optimization for Predicting Substrates of Promiscuous Enzymes.},
author = {Gao R and Duan C and Qin N and Liu Y and Liu K and Tsuboi T and Chen Z},
year = {2026},
journal = {ACS omega},
doi = {10.1021/acsomega.5c11697},
url = {https://doi.org/10.1021/acsomega.5c11697}
}RIS
TY - JOUR TI - A Novel Unsupervised Learning Model with Bayesian Hyperparameter Optimization for Predicting Substrates of Promiscuous Enzymes. AU - Gao R AU - Duan C AU - Qin N AU - Liu Y AU - Liu K AU - Tsuboi T AU - Chen Z PY - 2026 JO - ACS omega DO - 10.1021/acsomega.5c11697 UR - https://doi.org/10.1021/acsomega.5c11697 ER -
APA
R, G., C, D., N, Q., Y, L., K, L., T, T., & Z, C. (2026). A Novel Unsupervised Learning Model with Bayesian Hyperparameter Optimization for Predicting Substrates of Promiscuous Enzymes.. ACS omega. https://doi.org/10.1021/acsomega.5c11697
Source records
- pubmed · retrieved 2026-09-25T17:18:37.954Z