Quantitative structure activity relationships in computer aided molecular design

• Main Authors: Hentabli, Hentabli, Salim, Naomie, Saeed, Faisal
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/71288/1/FaisalSaeed2016_Quantitativestructureactivityrelationshipsin.pdf; http://eprints.utm.my/id/eprint/71288/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991657517&doi=10.11113%2fjt.v78.9723&partnerID=40&md5=a98ce9959e637be1c3138ca9caecda46

The drug development process requires the complete evaluation and identification of the chosen substance as well as its properties. It involves extensive chemical examination to achieve the best therapeutic effects which demands huge expenditure both in terms of time and money. Computer aided molecular design (CAMD) allows the production of new substances with pre-decided properties. Additionally, in order to illustrate and determine the interrelationship between the chemical structure of a compound and its biological activity, Quantitative Structure Activity Relationship (QSAR) is applied by employing a mathematical model and arranging molecular descriptors. This paper presents review of CAMD and QSAR techniques. The most common chemometric techniques are also emphasized. CAMD and QSAR are considered to be extremely efficient instruments in molecular design and accelerate the initial steps of drug development process. Furthermore, they enhance the effectiveness and reduce the cost of newly developed drugs.