Identifying co-targets to fight drug resistance based on a random walk model.

ABSTRACT:

Background

Drug resistance has now posed more severe and emergent threats to human health and infectious disease treatment. However, wet-lab approaches alone to counter drug resistance have so far still achieved limited success due to less knowledge about the underlying mechanisms of drug resistance. Our approach apply a heuristic search algorithm in order to extract active network under drug treatment and use a random walk model to identify potential co-targets for effective antibacterial drugs.

Results

We use interactome network of Mycobacterium tuberculosis and gene expression data which are treated with two kinds of antibiotic, Isoniazid and Ethionamide as our test data. Our analysis shows that the active drug-treated networks are associated with the trigger of fatty aci

SUBMITTER: Chen LC 

PROVIDER: S-EPMC3296574 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature