Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy.

Zheng N, Cai Y, Zhang Z, Zhou H, Deng Y, Du S, Tu M, Fang W, Xia X

Open source

DOI
10.1038/s41467-025-55944-5
Published
2025 Jan 11
Container
Nature communications
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41467-025-55944-5,
  title = {Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy.},
  author = {Zheng N and Cai Y and Zhang Z and Zhou H and Deng Y and Du S and Tu M and Fang W and Xia X},
  year = {2025},
  journal = {Nature communications},
  doi = {10.1038/s41467-025-55944-5},
  url = {https://doi.org/10.1038/s41467-025-55944-5}
}

RIS

TY  - JOUR
TI  - Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy.
AU  - Zheng N
AU  - Cai Y
AU  - Zhang Z
AU  - Zhou H
AU  - Deng Y
AU  - Du S
AU  - Tu M
AU  - Fang W
AU  - Xia X
PY  - 2025
JO  - Nature communications
DO  - 10.1038/s41467-025-55944-5
UR  - https://doi.org/10.1038/s41467-025-55944-5
ER  - 

APA

N, Z., Y, C., Z, Z., H, Z., Y, D., S, D., M, T., W, F., & X, X. (2025). Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy.. Nature communications. https://doi.org/10.1038/s41467-025-55944-5

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