A Review: Quantitative Structure Activity Relationship

Authors

  • Ravikash Srivastava Department of Biochemistry, Chhatrapati Shahu Ji Maharaj University, Kanpur, Uttar Pradesh, India

DOI:

https://doi.org/10.37591/(rrjobi).v3i3.404

Abstract

Abstract

Drug discovery is a risky, costly and time-consuming process depending on multidisciplinary methods to create safe and effective medicines. Although considerable progress has been made by high-throughput screening methods in drug design, the cost of developing contemporary approved drugs did not match that in the past decade. The major reason is the late-stage clinical failures in Phases II and III because of the complicated interactions between drug-specific, human body and environmental aspects affecting the safety and efficacy of a drug. There is a growing hope that systems-level consideration may provide a new perspective to overcome such current difficulties of drug discovery and development. Therefore, the present review is an attempt to introduce how holistic systems pharmacology that integrated in silico ADME/T (i.e., absorption, distribution, metabolism, excretion and toxicity), target fishing and network pharmacology facilitates the discovery of small molecular drugs at the system level.

 

Keywords: Drug discovery, pharmacology, QSAR, ADME/T

 

Cite this Article

Ravikash Srivastava. A Review: Quantitative Structure Activity Relationship. Research & Reviews: A Journal of Bioinformatics. 2016; 3(3): 20–24p.

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Published

2019-03-19

Issue

Vol. 3 No. 3 (2016)

Section

Review Article

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