Multistage attention-based extraction and fusion of protein sequence and structural features for protein function prediction.

ABSTRACT:

Motivation

Protein function prediction is important for drug development and disease treatment. Recently, deep learning methods have leveraged protein sequence and structural information, achieving remarkable progress in the field of protein function prediction. However, existing methods ignore the complex multimodal interaction information between sequence and structural features. Since protein sequence and structural information reveal the functional characteristics of proteins from different perspectives, it is challenging to effectively fuse the information from these two modalities to portray protein functions more comprehensively. In addition, current methods have difficulty in effectively capturing long-range dependencies and global contextual information in protein sequence

SUBMITTER: Liu M 

PROVIDER: S-EPMC12289230 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature