Department of Computer Science
Evaluating protein-protein interaction networks for diseases, pathway, target discoverry, and drug-design using in silico pharmacology
In silico pharmacology is a promising field in the current state-of drug discovery. This area exploits “proteinprotein Interaction (PPI) network analysis for drug discovery using the drug “target class”. To document the current status, we have discussed in this article how this an integrated system of PPI networks contribute to understand the disease pathways, present state-of-the-art drug target discovery and drug discovery process. This review article enhances our knowledge on conventional drug discovery and current drug discovery using in silico techniques, best “target class”, universal architecture of PPI networks, the present scenario of disease pathways and protein-protein interaction networks as well as the method to comprehend the PPI networks. Taken all together, ultimately a snapshot has been discussed to be familiar with how PPI network architecture can used to validate a drug target. At the conclusion, we have illustrated the future directions of PPI in target discovery and drug-design.
PPI network, drug discovery
Source Publication Title
Current Protein and Peptide Science
Bentham Science Publishers
Link to Publisher's Edition
Chakraborty, Chiranjib, Doss C. Priya George, Luonan Chen, and Hailong Zhu. "Evaluating protein-protein interaction networks for diseases, pathway, target discoverry, and drug-design using in silico pharmacology." Current Protein and Peptide Science 15.6 (2014): 561-571.