AUKAT: Conditional VAE-Driven Augmentation and Neural Modeling of Enzyme Turnover Numbers

Mengmeng Liu, Xialong Ni, Michal Brylinski

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DOI: 10.3390/biom16071049
Published: 2026-07-18
Container: Biomolecules
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/biom16071049,
  title = {AUKAT: Conditional VAE-Driven Augmentation and Neural Modeling of Enzyme Turnover Numbers},
  author = {Mengmeng Liu and Xialong Ni and Michal Brylinski},
  year = {2026},
  journal = {Biomolecules},
  doi = {10.3390/biom16071049},
  url = {https://doi.org/10.3390/biom16071049}
}

RIS

TY  - JOUR
TI  - AUKAT: Conditional VAE-Driven Augmentation and Neural Modeling of Enzyme Turnover Numbers
AU  - Mengmeng Liu
AU  - Xialong Ni
AU  - Michal Brylinski
PY  - 2026
JO  - Biomolecules
DO  - 10.3390/biom16071049
UR  - https://doi.org/10.3390/biom16071049
ER  -

APA

Liu, M., Ni, X., & Brylinski, M. (2026). AUKAT: Conditional VAE-Driven Augmentation and Neural Modeling of Enzyme Turnover Numbers. Biomolecules. https://doi.org/10.3390/biom16071049

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crossref · retrieved 2026-09-25T13:48:12.747Z