2024
DOI: 10.3389/frai.2024.1446063
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Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost

Meshari Alazmi

Abstract: IntroductionIn the intricate realm of enzymology, the precise quantification of enzyme efficiency, epitomized by the turnover number (kcat), is a paramount yet elusive objective. Existing methodologies, though sophisticated, often grapple with the inherent stochasticity and multifaceted nature of enzymatic reactions. Thus, there arises a necessity to explore avant-garde computational paradigms.MethodsIn this context, we introduce “enzyme catalytic efficiency prediction (ECEP),” leveraging advanced deep learnin… Show more

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