Abstract
Enzyme-catalyzed protein cleavage is essential for many biological functions. Accurate predic tion of cleavage sites can facilitate various appli cations such as drug development, enzyme de sign, and a deeper understanding of biologica mechanisms. However, most existing models are restricted to an individual enzyme, which ne glects shared knowledge of enzymes and fails generalize to novel enzymes. Thus, we introduce a unified protein cleavage site predictor named UniZyme, which can generalize across diverse enzymes. To enhance the enzyme encoding for the protein cleavage site prediction, UniZyme em ploys a novel biochemically-informed model ar chitecture along with active-site knowledge of pro teolytic enzymes. Extensive experiments demon strate that UniZyme achieves high accuracy in pre dicting cleavage sites across a range of proteolytic enzymes, including unseen enzymes.
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This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
"UniZyme A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge", Technical Disclosure Commons, (April 29, 2025)
https://www.tdcommons.org/dpubs_series/8048