"Genetics Algorithm Approaches of Cheminformatics Reengineering Process"

H. Susanto
{"title":"\"Genetics Algorithm Approaches of Cheminformatics Reengineering Process\"","authors":"H. Susanto","doi":"10.38125/oajbs.000389","DOIUrl":null,"url":null,"abstract":"The important features of Information system and Technology, as it explores the many different technologies inherent in the field of information technology and impact on information systems design, functionality, operations, and management to its people, organisation as well as science today. Sciences tend to make full usage of information system and technology to seeks a description and understanding of the natural world and its physical properties. Hence this study examines the concept of information system, technology and how it affected science namely Cheminformatics. The utilization of Cheminformatics instruments is picking up significance in the field of translational exploration from Medicinal Chemistry to Neuropharmacology. Specifically, require for it the investigation of substance data on huge datasets of bioactive mixes. These mixes frame vast multi-target complex systems it is a drug-target interactome system, that bringing about an extremely difficult information examination issue. Counterfeit Neural Network in short for CNN, calculations may offer some support with anticipating the collaboration of medications and focuses on CNS interactome. Here, this study to find out the effectives and efficient solution through Cheminformatics approach.","PeriodicalId":207626,"journal":{"name":"Open Access Journal of Biomedical Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Access Journal of Biomedical Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.38125/oajbs.000389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The important features of Information system and Technology, as it explores the many different technologies inherent in the field of information technology and impact on information systems design, functionality, operations, and management to its people, organisation as well as science today. Sciences tend to make full usage of information system and technology to seeks a description and understanding of the natural world and its physical properties. Hence this study examines the concept of information system, technology and how it affected science namely Cheminformatics. The utilization of Cheminformatics instruments is picking up significance in the field of translational exploration from Medicinal Chemistry to Neuropharmacology. Specifically, require for it the investigation of substance data on huge datasets of bioactive mixes. These mixes frame vast multi-target complex systems it is a drug-target interactome system, that bringing about an extremely difficult information examination issue. Counterfeit Neural Network in short for CNN, calculations may offer some support with anticipating the collaboration of medications and focuses on CNS interactome. Here, this study to find out the effectives and efficient solution through Cheminformatics approach.
化学信息学再造过程的遗传算法方法
信息系统和技术的重要特点,因为它探讨了信息技术领域固有的许多不同的技术,以及对信息系统设计、功能、操作和管理的影响,对人们、组织和今天的科学。科学倾向于充分利用信息系统和技术来寻求对自然世界及其物理性质的描述和理解。因此,本研究考察了信息系统的概念,技术以及它如何影响科学,即化学信息学。化学信息学仪器的应用在从药物化学到神经药理学的转化探索领域具有重要意义。具体来说,需要对生物活性混合物的庞大数据集进行物质数据调查。这些混合物构成了庞大的多靶点复杂系统,是一个药物-靶点相互作用系统,这带来了一个极其困难的信息检测问题。仿制品神经网络,简称CNN,计算可能会提供一些支持,以预测药物的合作,并关注中枢神经系统的相互作用。在此,本研究旨在通过化学信息学的方法寻找有效的解决方案。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信