Using indirect protein interactions for the prediction of Gene Ontology functions.

ABSTRACT:

Background

Protein-protein interaction has been used to complement traditional sequence homology to elucidate protein function. Most existing approaches only make use of direct interactions to infer function, and some have studied the application of indirect interactions for functional inference but are unable to improve prediction performance. We have previously proposed an approach, FS-Weighted Averaging, which uses topological weighting and level-2 indirect interactions (protein pairs connected via two interactions) for predicting protein function from protein interactions and have found that it yields predictions with superior precision on yeast proteins over existing approaches. Here we study the use of this technique to predict functional annotations from the Gene Ontology fo

SUBMITTER: Chua HN 

PROVIDER: S-EPMC1892087 | biostudies-literature | 2007 May

REPOSITORIES: biostudies-literature