MESM: integrating multi-source data for high-accuracy protein-protein interactions prediction through multimodal language models.
Journal:
BMC biology
Published Date:
Aug 11, 2025
Abstract
BACKGROUND: Protein-protein interactions (PPIs) play a critical role in essential biological processes such as signal transduction, enzyme activity regulation, cytoskeletal structure, immune responses, and gene regulation. However, current methods mainly focus on extracting features from protein sequences and using graph neural network (GNN) to acquire interaction information from the PPI network graph. This limits the model's ability to learn richer and more effective interaction information, thereby affecting prediction performance.
