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Bioinformatics Advance Access originally published online on April 15, 2008
Bioinformatics 2008 24(11):1413-1415; doi:10.1093/bioinformatics/btn138
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© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

IDMap: facilitating the detection of potential leads with therapeutic targets

Soyang Ha 1,{dagger}, Young-Ju Seo 1,{dagger}, Min-Seok Kwon 1, Byung-Ha Chang 1, Cheol-Kyu Han 1 and Jeong-Hyeok Yoon 1,2,*

1BT Solutions Team, R&D Center, Equispharm Co., Ltd, Gyeonggi Bio-Center Bld. 11Fl., 864-1, Iui-dong, Yeongtong-gu, Suwon, Gyeonggi-do [443-766], Republic of Korea and 2Bioinformatics and Molecular Design Research Center, B138A, Yonsei Engineering Research Complex, Yonsei University 134, Sinchon-dong, Seodaemun-gu, Seoul [120-749], Republic of Korea

*To whom correspondence should be addressed.


  Abstract

Summary: 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

Contact: idmap{at}equispharm.com

{dagger} The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.

Associate Editor: Jonathan Wren

Received on December 13, 2007; revised on March 21, 2008; accepted on April 11, 2008

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