Literature DB >> 18417489

IDMap: facilitating the detection of potential leads with therapeutic targets.

Soyang Ha1, Young-Ju Seo, Min-Seok Kwon, Byung-Ha Chang, Cheol-Kyu Han, Jeong-Hyeok Yoon.   

Abstract

UNLABELLED: Pharmaceutical industry has been striving to reduce the costs of drug development and increase productivity. Among the many different attempts, drug repositioning (retargeting existing drugs) comes into the spotlight because of its financial efficiency. We introduce IDMap which predicts novel relationships between targets and chemicals and thus is capable of repositioning the marketed drugs by using text mining and chemical structure information. Also capable of mapping commercial chemicals to possible drug targets and vice versa, IDMap creates convenient environments for identifying the potential lead and its targets, especially in the field of drug repositioning. AVAILABILITY: IDMap executable and its user manual including color images are freely available to non-commercial users at http://www.equispharm.com/idmap

Mesh:

Substances:

Year:  2008        PMID: 18417489     DOI: 10.1093/bioinformatics/btn138

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

Review 1.  A survey of current trends in computational drug repositioning.

Authors:  Jiao Li; Si Zheng; Bin Chen; Atul J Butte; S Joshua Swamidass; Zhiyong Lu
Journal:  Brief Bioinform       Date:  2015-03-31       Impact factor: 11.622

Review 2.  A generalizable pre-clinical research approach for orphan disease therapy.

Authors:  Chandree L Beaulieu; Mark E Samuels; Sean Ekins; Christopher R McMaster; Aled M Edwards; Adrian R Krainer; Geoffrey G Hicks; Brendan J Frey; Kym M Boycott; Alex E Mackenzie
Journal:  Orphanet J Rare Dis       Date:  2012-06-15       Impact factor: 4.123

Review 3.  Drug repositioning for personalized medicine.

Authors:  Yvonne Y Li; Steven Jm Jones
Journal:  Genome Med       Date:  2012-03-30       Impact factor: 11.117

4.  A network based approach to drug repositioning identifies plausible candidates for breast cancer and prostate cancer.

Authors:  Hsiao-Rong Chen; David H Sherr; Zhenjun Hu; Charles DeLisi
Journal:  BMC Med Genomics       Date:  2016-07-30       Impact factor: 3.063

5.  Discovery of Noncancer Drug Effects on Survival in Electronic Health Records of Patients With Cancer: A New Paradigm for Drug Repurposing.

Authors:  Yonghui Wu; Jeremy L Warner; Liwei Wang; Min Jiang; Jun Xu; Qingxia Chen; Hui Nian; Qi Dai; Xianglin Du; Ping Yang; Joshua C Denny; Hongfang Liu; Hua Xu
Journal:  JCO Clin Cancer Inform       Date:  2019-05

6.  Identifying novel drug indications through automated reasoning.

Authors:  Luis Tari; Nguyen Vo; Shanshan Liang; Jagruti Patel; Chitta Baral; James Cai
Journal:  PLoS One       Date:  2012-07-23       Impact factor: 3.240

Review 7.  Open-source approaches for the repurposing of existing or failed candidate drugs: learning from and applying the lessons across diseases.

Authors:  Minna Allarakhia
Journal:  Drug Des Devel Ther       Date:  2013-08-08       Impact factor: 4.162

Review 8.  Emerging role of bioinformatics tools and software in evolution of clinical research.

Authors:  Supreet Kaur Gill; Ajay Francis Christopher; Vikas Gupta; Parveen Bansal
Journal:  Perspect Clin Res       Date:  2016 Jul-Sep

9.  NEDD: a network embedding based method for predicting drug-disease associations.

Authors:  Renyi Zhou; Zhangli Lu; Huimin Luo; Ju Xiang; Min Zeng; Min Li
Journal:  BMC Bioinformatics       Date:  2020-09-17       Impact factor: 3.169

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.