PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology

PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology

Abstract Protein interactions are crucial for understanding biological functions and disease mechanisms, but predicting these remains a complex task in computational biology. Increasingly, Deep Learning models are having success in interface prediction. This study presents PIPENN-EMB which explores...

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Bibliographic Details
Main Authors: David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Protein interface prediction
Protein–protein interactions
Sequence-based prediction
PPI
Embedding
Online Access:https://doi.org/10.1038/s41598-025-88445-y
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https://doi.org/10.1038/s41598-025-88445-y

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