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An Introduction to the Basic Concepts in QSAR-Aided Drug Design
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Author(s): Maryam Hamzeh-Mivehroud (Biotechnology Research Center & School of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran), Babak Sokouti (Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran)and Siavoush Dastmalchi (Biotechnology Research Center & School of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran)
Copyright: 2017
Pages: 47
Source title:
Artificial Intelligence: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1759-7.ch003
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Abstract
The need for the development of new drugs to combat existing and newly identified conditions is unavoidable. One of the important tools used in the advanced drug development pipeline is computer-aided drug design. Traditionally, to find a drug many ligands were synthesized and evaluated for their effectiveness using suitable bioassays and if all other drug-likeness features were met, the candidate(s) would possibly reach the market. Although this approach is still in use in advanced format, computational methods are an indispensable component of modern drug development projects. One of the methods used from very early days of rationalizing the drug design approaches is Quantitative Structure-Activity Relationship (QSAR). This chapter overviews QSAR modeling steps by introducing molecular descriptors, mathematical model development for relating biological activities to molecular structures, and model validation. At the end, several successful cases where QSAR studies were used extensively are presented.
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