Maged Nasser, Hentabli Hamza, N. Salim, Faisal Saeed
{"title":"The Measurement of Molecular Biological Activity based on Quantitative Structure Activity Relationships","authors":"Maged Nasser, Hentabli Hamza, N. Salim, Faisal Saeed","doi":"10.11113/IJIC.V8N3.185","DOIUrl":null,"url":null,"abstract":"The urge of producing new chemical compounds under eco-friendly production restriction and with minimum side effects is significantly rising, considering the difficulties that conventional methods are dealing with, from financial investments and being time consuming to multi resistance microorganisms and untreatable diseases. Rational molecular design methods like Computer Aided Molecular Design (CAMD) and Quantitative Structure Activity Relationship (QSAR) allow the production of new substances with pre-decided properties and correlate the structure to biological activity, which influences the drug development process and minimizes the financial investment involved in the process. QSAR employs several descriptors to decode the molecular configuration of a compound, which facilitate the understanding of its physical and biological properties. There are various conditions such as the selection of compounds and descriptors that must be accomplished for developing an applicable model of QSAR. The underlining principles and steps of QSAR are explained in this review paper.","PeriodicalId":50314,"journal":{"name":"International Journal of Innovative Computing Information and Control","volume":"10 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2018-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Innovative Computing Information and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11113/IJIC.V8N3.185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The urge of producing new chemical compounds under eco-friendly production restriction and with minimum side effects is significantly rising, considering the difficulties that conventional methods are dealing with, from financial investments and being time consuming to multi resistance microorganisms and untreatable diseases. Rational molecular design methods like Computer Aided Molecular Design (CAMD) and Quantitative Structure Activity Relationship (QSAR) allow the production of new substances with pre-decided properties and correlate the structure to biological activity, which influences the drug development process and minimizes the financial investment involved in the process. QSAR employs several descriptors to decode the molecular configuration of a compound, which facilitate the understanding of its physical and biological properties. There are various conditions such as the selection of compounds and descriptors that must be accomplished for developing an applicable model of QSAR. The underlining principles and steps of QSAR are explained in this review paper.
期刊介绍:
The primary aim of the International Journal of Innovative Computing, Information and Control (IJICIC) is to publish high-quality papers of new developments and trends, novel techniques and approaches, innovative methodologies and technologies on the theory and applications of intelligent systems, information and control. The IJICIC is a peer-reviewed English language journal and is published bimonthly