Inferring a protein interaction map of Mycobacterium tuberculosis based on sequences and interologs.

ABSTRACT:

Background

Mycobacterium tuberculosis is an infectious bacterium posing serious threats to human health. Due to the difficulty in performing molecular biology experiments to detect protein interactions, reconstruction of a protein interaction map of M. tuberculosis by computational methods will provide crucial information to understand the biological processes in the pathogenic microorganism, as well as provide the framework upon which new therapeutic approaches can be developed.

Results

In this paper, we constructed an integrated M. tuberculosis protein interaction network by machine learning and ortholog-based methods. Firstly, we built a support vector machine (SVM) method to infer the protein interactions of M. tuberculosis H37Rv by gene sequence information. We tested o

SUBMITTER: Liu ZP 

PROVIDER: S-EPMC3348046 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature