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EnzCast: Prediction of Patient-Specific Enzymatic Kinetics thrugh Multi-Modal Deep Learning and Isoform-Resolved Bayesian Inference based on Single-Cell Transcriptomics

2026-04-30

Abstract excerpt

<h4>ABSTRACT</h4> Enzyme kinetic parameters underpin mechanistic biology but remain sparse in physiological context. We present EnzCast, a multi-modal framework jointly predicting K m , k cat , k cat / K m , and K i from protein sequence, 3D structure, substrate chemistry, and experimental conditions, paired with IsoKin, an isoform-resolved Bayesian framework converting EnzCast priors into patient-specific...

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Literature Corpus work: be2399ee-6dc9-591f-aa9d-ba741fca8dc7
DOI: 10.64898/2026.04.28.721430

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