Mutual annotation-based prediction of protein domain functions with Domain2GO.

ABSTRACT: Identifying unknown functional properties of proteins is essential for understanding their roles in both health and disease states. The domain composition of a protein can reveal critical information in this context, as domains are structural and functional units that dictate how the protein should act at the molecular level. The expensive and time-consuming nature of wet-lab experimental approaches prompted researchers to develop computational strategies for predicting the functions of proteins. In this study, we proposed a new method called Domain2GO that infers associations between protein domains and function-defining gene ontology (GO) terms, thus redefining the problem as domain function prediction. Domain2GO uses documented protein-level GO annotations together with proteins' domain

SUBMITTER: Ulusoy E 

PROVIDER: S-EPMC11099699 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature