PPI-Graphomer: enhanced protein-protein affinity prediction using pretrained and graph transformer models.

ABSTRACT: Protein-protein interactions (PPIs) refer to the phenomenon of protein binding through various types of bonds to execute biological functions. These interactions are critical for understanding biological mechanisms and drug research. Among these, the protein binding interface is a critical region involved in protein-protein interactions, particularly the hotspot residues on it that play a key role in protein interactions. Current deep learning methods trained on large-scale data can characterize proteins to a certain extent, but they often struggle to adequately capture information about protein binding interfaces. To address this limitation, we propose the PPI-Graphomer module, which integrates pretrained features from large-scale language models and inverse folding models. This approach

SUBMITTER: Xie J 

PROVIDER: S-EPMC12042501 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature