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CliPepPI: Scalable prediction of domain-peptide specificity using contrastive learning

2026-03-20

Abstract excerpt

Domain-peptide interactions mediate a significant fraction of cellular protein networks, yet accurately predicting their specificity remains challenging. Peptide motifs typically have short, fuzzy sequence profiles, and their interactions are often weak and transient, limiting the size, coverage, and quality of experimentally validated domain-peptide datasets. Since true non-binders are rarely known, constructing...

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Literature Corpus work
c422c6d4-b02f-5763-93e7-cf7bb807c440
DOI
10.64898/2026.03.18.712595
Open publication

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CliPepPI: Scalable prediction of domain-peptide specificity using contrastive learningDOI 10.64898/2026.03.18.712595
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