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Bioinformatics Advance Access published online on April 15, 2008
Bioinformatics, 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 {dagger},1, Young-Ju Seo {dagger},1, Min-Seok Kwon 1, Byung-Ha Chang 1, Cheol-Kyu Han 1 and Jeong-Hyeok Yoon *,1,2

1 BT 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. 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. Jeong-Hyeok Yoon, E-mail: idmap{at}equispharm.com


  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 conven-ient 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

Associate Editor: Dr. Jonathan Wren

{dagger} These authors contributed equally to this project and should be considered co-first authors.

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

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