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Article

Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction

2024-04-29

Abstract excerpt

Unraveling the human interactome to uncover disease-specific patterns and discover drug targets hinges on accurate protein-protein interaction (PPI) predictions. However, challenges persist in machine learning (ML) models due to a scarcity of quality hard negative samples, shortcut learning, and limited generalizability to novel proteins. Here, we introduce a novel approach for strategic sampling of protein-protei...

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Literature Corpus work
8eb4e075-f500-5007-b784-cb3c52cfde6a
DOI
10.1101/2024.04.27.591478
Open publication

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Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction PredictionDOI 10.1101/2024.04.27.591478
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