Evaluating protein-protein interaction (PPI) networks for diseases pathway, target discovery, and drug-design using 'In silico pharmacology'

Chiranjib Chakraborty, George Priya Doss. C, Luonan Chen, Hailong ZHU*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

9 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)561-571
Number of pages11
JournalCurrent Protein and Peptide Science
Volume15
Issue number6
DOIs
Publication statusPublished - 2014

Scopus Subject Areas

  • Biochemistry
  • Molecular Biology
  • Cell Biology

User-Defined Keywords

  • Drug discovery
  • PPI network

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