QAUST: Protein Function Prediction Using Structure Similarity, Protein Interaction, and Functional Motifs.

ABSTRACT: The number of available protein sequences in public databases is increasing exponentially. However, a significant percentage of these sequences lack functional annotation, which is essential for the understanding of how biological systems operate. Here, we propose a novel method, Quantitative Annotation of Unknown STructure (QAUST), to infer protein functions, specifically Gene Ontology (GO) terms and Enzyme Commission (EC) numbers. QAUST uses three sources of information: structure information encoded by global and local structure similarity search, biological network information inferred by protein-protein interaction data, and sequence information extracted from functionally discriminative sequence motifs. These three pieces of information are combined by consensus averaging to make the

SUBMITTER: Smaili FZ 

PROVIDER: S-EPMC9403031 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature