ProteinF3S: boosting enzyme function prediction by fusing protein sequence, structure, and surface.

ABSTRACT: Proteins can be represented in different data forms, including sequence, structure, and surface, each of which has unique advantages and certain limitations. It is promising to fuse the complementary information among them. In this work, we propose a framework called ProteinF3S for enzyme function prediction that fuses the complementary information across protein sequence, structure, and surface. To achieve more effective fusion, we propose a multi-scale bidirectional fusion strategy between protein structure and surface, in which the hierarchical features of a surface encoder and a structure encoder interact with each other bidirectionally. Based on these interactions, more distinctive features can be obtained. After that, we achieve further fusion by concatenating the sequence features w

SUBMITTER: Yuan M 

PROVIDER: S-EPMC11697223 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature