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Bioinformatics Advance Access published online on June 16, 2004
Bioinformatics, doi:10.1093/bioinformatics/bth363
Bioinformatics © Oxford University Press 2004; all rights reserved
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Received March 12, 2004
Revised April 14, 2004
Accepted June 10, 2004

Applications note

BioSilico: an integrated metabolic database system

Bo Kyeng Hou 1, Jin Sik Kim 2, Ji Hoon Jun 3, Dong-Yup Lee 1, Yong Wook Kim 3, Sujin Chae 4, Mira Roh 3, Yong-Ho In 3, Sang Yup Lee 5*

1 Department of BioSystems and Bioinformatics Research Center, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea
2 Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea; BioProcess Engineering Research Center, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea
3 IDRTech Inc., C-2711, Kolontripolis 1 210, Kumgok-dong, Bundang-gu, Sungnam 463-805, Republic of Korea
4 Department of Biological Chemistry, College of Pharmacy, Seoul National University, San 56-1 Sillim-dong, Gwanak-gu, Seoul 151-742, Republic of Korea
5 Department of BioSystems and Bioinformatics Research Center, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea; Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea; BioProcess Engineering Research Center, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea

* To whom correspondence should be addressed. E-mail: leesy{at}kaist.ac.kr.


  Abstract

Summary: BioSilico is a web-based database system that facilitates the search and analysis of metabolic pathways. Heterogeneous metabolic databases including LIGAND, ENZYME, EcoCyc and MetaCyc are integrated in a systematic way, thereby allowing users to efficiently retrieve the relevant information on enzymes, biochemical compounds and reactions. In addition, it provides well-designed view pages for more detailed summary information. BioSilico is developed as an extensible system with a robust systematic architecture.

Availability: BioSilico database system is accessible at http://biosilico.kaist.ac.kr.


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