Article

SIP-BERT: A multi-organism deep strategy for predicting self interaction in proteins

2026-02-06

Abstract excerpt

Self-interacting proteins (SIPs) are critical to cellular regulation, yet their experimental identification remains challenging due to high costs, inefficiencies, and frequent false positives. Leveraging recent advances in deep language models, we introduce SIP-BERT, a family of lightweight transformer-based models trained on organism-specific self-interaction datasets curated from existing protein–protein interac...

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Literature Corpus work: dbb95db9-2f14-5f93-a766-0824c38af3e6
DOI: 10.64898/2026.02.04.702782

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