Integrating diverse biological and computational sources for reliable protein-protein interactions.

ABSTRACT:

Background

Protein-protein interactions (PPIs) play important roles in various cellular processes. However, the low quality of current PPI data detected from high-throughput screening techniques has diminished the potential usefulness of the data. We need to develop a method to address the high data noise and incompleteness of PPI data, namely, to filter out inaccurate protein interactions (false positives) and predict putative protein interactions (false negatives).

Results

In this paper, we proposed a novel two-step method to integrate diverse biological and computational sources of supporting evidence for reliable PPIs. The first step, interaction binning or InterBIN, groups PPIs together to more accurately estimate the likelihood (Bin-Confidence score) that the protein p

SUBMITTER: Wu M 

PROVIDER: S-EPMC2957691 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature