Human protein interactome structure prediction at scale with Boltz-2.

ABSTRACT: In humans, protein-protein interactions mediate numerous biological processes and are central to both normal physiology and disease. Extensive research efforts have aimed to elucidate the human protein interactome, and comprehensive databases now catalog these interactions at scale. However, structural coverage of the human protein interactome is limited and remains challenging to resolve through experimental methodology alone. Recent advances in artificial intelligence/machine learning (AI/ML)-based approaches for protein interaction structure prediction present opportunities for large-scale structural characterization of the human interactome. One such model, Boltz-2, which is capable of predicting the structures of protein complexes, may serve this objective. Here, we present de novo

SUBMITTER: Ille AM 

PROVIDER: S-EPMC12236519 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature