An Introduction to the Basic Concepts in QSAR-Aided Drug Design

An Introduction to the Basic Concepts in QSAR-Aided Drug Design

Maryam Hamzeh-Mivehroud, Babak Sokouti, Siavoush Dastmalchi
ISBN13: 9781522517597|ISBN10: 1522517596|EISBN13: 9781522517603
DOI: 10.4018/978-1-5225-1759-7.ch003
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MLA

Hamzeh-Mivehroud, Maryam, et al. "An Introduction to the Basic Concepts in QSAR-Aided Drug Design." Artificial Intelligence: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 32-78. https://doi.org/10.4018/978-1-5225-1759-7.ch003

APA

Hamzeh-Mivehroud, M., Sokouti, B., & Dastmalchi, S. (2017). An Introduction to the Basic Concepts in QSAR-Aided Drug Design. In I. Management Association (Ed.), Artificial Intelligence: Concepts, Methodologies, Tools, and Applications (pp. 32-78). IGI Global. https://doi.org/10.4018/978-1-5225-1759-7.ch003

Chicago

Hamzeh-Mivehroud, Maryam, Babak Sokouti, and Siavoush Dastmalchi. "An Introduction to the Basic Concepts in QSAR-Aided Drug Design." In Artificial Intelligence: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 32-78. Hershey, PA: IGI Global, 2017. https://doi.org/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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