Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering.

Zeng Z, Jin J, Xu R, Wu Y, Luo X

DOI: 10.1021/acs.jcim.6c01200
Published: 2026 Nov 9
Container: Journal of chemical information and modeling
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jcim.6c01200,
  title = {Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering.},
  author = {Zeng Z and Jin J and Xu R and Wu Y and Luo X},
  year = {2026},
  journal = {Journal of chemical information and modeling},
  doi = {10.1021/acs.jcim.6c01200},
  url = {https://doi.org/10.1021/acs.jcim.6c01200}
}

RIS

TY  - JOUR
TI  - Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering.
AU  - Zeng Z
AU  - Jin J
AU  - Xu R
AU  - Wu Y
AU  - Luo X
PY  - 2026
JO  - Journal of chemical information and modeling
DO  - 10.1021/acs.jcim.6c01200
UR  - https://doi.org/10.1021/acs.jcim.6c01200
ER  -

APA

Z, Z., J, J., R, X., Y, W., & X, L. (2026). Benchmarking and Experimental Validation of Machine Learning Strategies for Enzyme Engineering.. Journal of chemical information and modeling. https://doi.org/10.1021/acs.jcim.6c01200

Source records

pubmed · retrieved 2026-11-10T11:59:37.397Z