Exploring Approaches for Detecting Protein Functional Similarity within an Orthology-based Framework.

ABSTRACT: Protein functional similarity based on gene ontology (GO) annotations serves as a powerful tool when comparing proteins on a functional level in applications such as protein-protein interaction prediction, gene prioritization, and disease gene discovery. Functional similarity (FS) is usually quantified by combining the GO hierarchy with an annotation corpus that links genes and gene products to GO terms. One large group of algorithms involves calculation of GO term semantic similarity (SS) between all the terms annotating the two proteins, followed by a second step, described as "mixing strategy", which involves combining the SS values to yield the final FS value. Due to the variability of protein annotation caused e.g. by annotation bias, this value cannot be reliably compared on an absol

SUBMITTER: Weichenberger CX 

PROVIDER: S-EPMC5428484 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature