A Review of Computational Drug Repositioning Approaches.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2017-12-20 DOI:10.2174/1386207321666171221112835
Guohua Huang, Jincheng Li, Peng Wang, Weibiao Li
{"title":"A Review of Computational Drug Repositioning Approaches.","authors":"Guohua Huang, Jincheng Li, Peng Wang, Weibiao Li","doi":"10.2174/1386207321666171221112835","DOIUrl":null,"url":null,"abstract":"<p><p>Computational drug repositioning emerges as a new idea of drug discovery and development. Contrary to conventional routines, computational drug repositioning encompasses low risk and high safety. Some successful cases demonstrated its advantage. Therefore, a large number of computational drug repositioning approaches have been developed over the past decades. We summarized briefly these methods and classified them into target-based, gene-expression-based, phenome-based and multi-omics-based categories according to strategies of drug repositioning. We reviewed some representatives of computational drug repositioning methods in each category, with emphasis on detail of techniques and finally discussed developing trends of computational drug repositioning.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Combinatorial chemistry & high throughput screening","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/1386207321666171221112835","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Computational drug repositioning emerges as a new idea of drug discovery and development. Contrary to conventional routines, computational drug repositioning encompasses low risk and high safety. Some successful cases demonstrated its advantage. Therefore, a large number of computational drug repositioning approaches have been developed over the past decades. We summarized briefly these methods and classified them into target-based, gene-expression-based, phenome-based and multi-omics-based categories according to strategies of drug repositioning. We reviewed some representatives of computational drug repositioning methods in each category, with emphasis on detail of techniques and finally discussed developing trends of computational drug repositioning.

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
计算药物重新定位方法综述。
计算药物重新定位是药物发现和开发的一种新思路。与传统的常规方法不同,计算药物重新定位具有低风险和高安全性的特点。一些成功案例证明了它的优势。因此,在过去的几十年里,人们开发了大量的计算药物重新定位方法。我们简要总结了这些方法,并根据药物重新定位的策略将其分为基于靶点、基于基因表达、基于表型和基于多组学的几类。我们回顾了每个类别中一些代表性的计算药物重新定位方法,重点介绍了技术细节,最后讨论了计算药物重新定位的发展趋势。
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
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
期刊最新文献
Computational Study for Preparation of Benzoimidazo[1,2-a]pyrimidines from Reaction of Benzaldehyde, Indanedione and 1H-benzo[d]imidazol-2- amine. Agaricus blazei Murill Extract (FA-2-b-β) Induces Ferroptosis in Diffuse Large B-Cell Lymphoma via the Nrf2/Ho-1 Pathway. Dry Powder Inhaler of Sustained-Release Microspheres Containing Glycyrrhizin: Factorial Design and Optimization. Revealing the Mechanism of Buzhong Yiqi Tang in Ameliorating Autoimmune Thyroiditis via the Toll-like Receptor Pathway. 20D-Dynamic Representation of Protein Sequences Combined with K-means Clustering.
×
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