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dc.contributor.authorHamzeh-Mivehroud, M
dc.contributor.authorSokouti, B
dc.contributor.authorDastmalchi, S
dc.date.accessioned2018-08-26T08:34:02Z
dc.date.available2018-08-26T08:34:02Z
dc.date.issued2016
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/52501
dc.description.abstractThe 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. é 2017 by IGI Global. All rights reserved.
dc.language.isoEnglish
dc.relation.ispartofOncology: Breakthroughs in Research and Practice
dc.titleAn introduction to the basic concepts in QSARaided drug design
dc.typeArticle
dc.citation.volume02-ظٹظ†ط§ظٹط±
dc.citation.spage20
dc.citation.epage66
dc.citation.indexScopus
dc.identifier.DOIhttps://doi.org/10.4018/978-1-5225-0549-5.ch002


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