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Michal Brylinski

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Open access Jul 2026

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

AUKAT, an integrated framework that combines conditional generative modeling with deep neural prediction to improve kcat estimation, provides a scalable approach for enzyme kinetics prediction and offers a practical solution to data scarcity in biochemical modeling.

Mengmeng Liu, Xialong Ni, Michal Brylinski · 0 citations

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