DeepSS2GO: protein function prediction from secondary structure.

ABSTRACT: Predicting protein function is crucial for understanding biological life processes, preventing diseases and developing new drug targets. In recent years, methods based on sequence, structure and biological networks for protein function annotation have been extensively researched. Although obtaining a protein in three-dimensional structure through experimental or computational methods enhances the accuracy of function prediction, the sheer volume of proteins sequenced by high-throughput technologies presents a significant challenge. To address this issue, we introduce a deep neural network model DeepSS2GO (Secondary Structure to Gene Ontology). It is a predictor incorporating secondary structure features along with primary sequence and homology information. The algorithm expertly combines t

SUBMITTER: Song FV 

PROVIDER: S-EPMC11066904 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature