DPFunc: accurately predicting protein function via deep learning with domain-guided structure information.

ABSTRACT: Computational methods for predicting protein function are of great significance in understanding biological mechanisms and treating complex diseases. However, existing computational approaches of protein function prediction lack interpretability, making it difficult to understand the relations between protein structures and functions. In this study, we propose a deep learning-based solution, named DPFunc, for accurate protein function prediction with domain-guided structure information. DPFunc can detect significant regions in protein structures and accurately predict corresponding functions under the guidance of domain information. It outperforms current state-of-the-art methods and achieves a significant improvement over existing structure-based methods. Detailed analyses demonstrate tha

SUBMITTER: Wang W 

PROVIDER: S-EPMC11697396 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature