title: Evaluating protein-protein interaction (PPI) networks for diseases pathway, target discovery, and drug-design using 'in silico pharmacology'.
abstract: In silico pharmacology is a promising field in the current state-of drug discovery. This area exploits "protein-protein 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.
authors: Chiranjib
authors: C
authors: Chakraborty
authors: George Priya
authors: GP
authors: Doss C
authors: Luonan
authors: L
authors: Chen
authors: Department of Computer Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong. hlzhu@comp.hkbu.edu.hk.
authors: Hailong
authors: H
authors: Zhu
mesh_terms: D000818:Animals; D017076:Computer-Aided Design; D055808:Drug Discovery / Q000379:methods*; D006801:Humans; D058990:Molecular Targeted Therapy; D025941:Protein Interaction Mapping / Q000379:methods*; D060066:Protein Interaction Maps; D011506:Proteins / Q000737:chemistry / Q000378:metabolism*
chemical_list: D011506:Proteins