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Author

Lin Wang

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Open access Sep 2026

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

ABSTRACT Enzyme turnover number (kcat) is a central kinetic parameter for biocatalysis, but experimental determination is low‐throughput and existing computational methods inadequately model enzyme–reaction interplay. Here, we introduced MCKcat, a deep learning framework that integrates multi‐scale convolutional featur...

Feng-Ya Ge, Xiang-Yang Ma, Ji-Yan Li et al. · 0 citations
Jul 2026

DrugFreq: Predicting Drug Side Effect Frequencies using Multiple Kernel Learning and Neighborhood Interaction Aware Network

Experimental results show that DrugFreq outperforms several state-of-the-art models in predicting drug-side effect frequencies across various evaluation metrics, and demonstrates strong generalization ability and robustness in handling sparse and imbalanced datasets.

Jin Wang, Yansong Liu, Peng Ji et al. · 0 citations

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