Abstract

A REVIEW ON NETWORK PHARMACOLOGY- STRATEGY IN DRUG DISCOVERY

*Sonal Bhaskar More

ABSTRACT

The leading model in drug discovery is the concept of designing maximally selective ligands to act on individual drug targets. Though, many effective drugs act via modulation of multiple proteins rather than single targets. Many systematic diseases like neurodegenerative disorders, cancer and cardiovascular cannot be treated efficiently by the single gene target strategy because these diseases involve the complex biological machinery. Developing in systems biology are revealing a phenotypic robustness and a network structure that strongly suggests that exquisitely selective compounds, compared with multi target drugs, may exhibit lower than desired clinical efficacy. This new obligation of the role of polypharmacology has important implications for tackling the two major sources of abrasion in drug development - efficacy and toxicity. Assimilating network biology and polypharmacology holds the promise of growing the present opportunity space for druggable targets. Though, the rational design of polypharmacology faces considerable challenges in the necessity for new methods to validate target combinations and optimize numerous structure-activity relationships while sustaining drug-like properties. Here in this review, we discuss the recent advances in the development of approaches for the identification of drug target interaction and its application in the poly-pharmacology profile of the drug.

Keywords: Network Pharmacology, Toxicity, Polypharmacology, Target.