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ProtAttn-QuadNet: An attention-based deep learning framework for protein–protein interaction prediction using ProtBERT embeddings

2025-11-17

Abstract excerpt

Protein–protein interactions (PPIs) form the backbone of most cellular processes, governing signal transduction, gene regulation, and metabolic control. However, experimental approaches to identifying PPIs remain expensive, laborious, and often incomplete. Recent advances in protein language models (PLMs) have transformed sequence-based PPI prediction by enabling deep contextual encoding of biochemical and structu...

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Literature Corpus work
8ee5035e-0347-5b1f-9657-84e06ff6417b
DOI
10.1101/2025.11.17.688786
Open publication

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ProtAttn-QuadNet: An attention-based deep learning framework for protein–protein interaction prediction using ProtBERT embeddingsDOI 10.1101/2025.11.17.688786
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