Article

SCREEN: a graph-based contrastive learning tool to infer catalytic residues and assess mutation tolerance in enzymes

2024-07-02

Abstract excerpt

The accurate identification of catalytic residues contributes to our understanding of enzyme functions in biological processes and pathways. The increasing number of protein sequences necessitates computational tools for the automated prediction of catalytic residues in enzymes. Here, we introduce SCREEN, a graph neural network for the high-throughput prediction of catalytic residues via the integration of enzyme...

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Literature Corpus work: 6be6b0ad-d27f-558e-9470-dee40fa52f43
DOI: 10.1101/2024.06.27.601004

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