PRED_PPI: a server for predicting protein-protein interactions based on sequence data with probability assignment.

ABSTRACT:

Background

Protein-protein interactions (PPIs) are crucial for almost all cellular processes, including metabolic cycles, DNA transcription and replication, and signaling cascades. Given the importance of PPIs, several methods have been developed to detect them. Since the experimental methods are time-consuming and expensive, developing computational methods for effectively identifying PPIs is of great practical significance.

Findings

Most previous methods were developed for predicting PPIs in only one species, and do not account for probability estimations. In this work, a relatively comprehensive prediction system was developed, based on a support vector machine (SVM), for predicting PPIs in five organisms, specifically humans, yeast, Drosophila, Escherichia coli, and Caen

SUBMITTER: Guo Y 

PROVIDER: S-EPMC2883990 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature