The Measurement of Molecular Biological Activity based on Quantitative Structure Activity Relationships

IF 1.3 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Innovative Computing Information and Control Pub Date : 2018-11-21 DOI:10.11113/IJIC.V8N3.185
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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于定量构效关系的分子生物活性测量
考虑到传统方法所面临的困难(从财政投资和耗时到多重耐药微生物和无法治疗的疾病),在生态友好型生产限制下生产副作用最小的新化合物的需求正在显著增加。计算机辅助分子设计(CAMD)和定量结构活性关系(QSAR)等合理的分子设计方法允许生产具有预先确定性质的新物质,并将结构与生物活性联系起来,从而影响药物开发过程并最大限度地减少该过程中涉及的财务投资。QSAR使用几个描述符来解码化合物的分子结构,这有助于理解其物理和生物特性。有各种条件,如化合物和描述符的选择,必须完成开发一个适用的QSAR模型。本文阐述了QSAR的基本原则和步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.20
自引率
20.00%
发文量
0
审稿时长
4.3 months
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
期刊最新文献
A Robust Image Encryption Scheme Based on Block Compressive Sensing and Wavelet Transform New Proposed Mixed Transforms: CAW and FAW and Their Application in Medical Image Classification A Hybrid Multiwavelet Transform with Grey Wolf Optimization Used for an Efficient Classification of Documents A Useful and Effective Method for Selecting a Smart Controller for SDN Network Design and Implement Fast Dust Sand Image Enhancement Based on Color Correction and New Fuzzy Intensification Operators
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1