BioSilico: An integrated metabolic database system

Bo Kyeng Hou; Jin Sik Kim; Ji Hoon Jun; Dong Yup Lee; Yong Wook Kim; Sujin Chae; Mira Roh; Yong Ho In; Sang Yup Lee

doi:10.1093/bioinformatics/bth363

BioSilico: An integrated metabolic database system

Bo Kyeng Hou, Jin Sik Kim, Ji Hoon Jun, Dong Yup Lee, Yong Wook Kim, Sujin Chae, Mira Roh, Yong Ho In, Sang Yup Lee

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

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.

Original language	English
Pages (from-to)	3270-3272
Number of pages	3
Journal	Bioinformatics
Volume	20
Issue number	17
DOIs	https://doi.org/10.1093/bioinformatics/bth363
State	Published - 22 Nov 2004
Externally published	Yes

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10.1093/bioinformatics/bth363

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title = "BioSilico: An integrated metabolic database system",

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.",

author = "Hou, \{Bo Kyeng\} and Kim, \{Jin Sik\} and Jun, \{Ji Hoon\} and Lee, \{Dong Yup\} and Kim, \{Yong Wook\} and Sujin Chae and Mira Roh and In, \{Yong Ho\} and Lee, \{Sang Yup\}",

year = "2004",

month = nov,

day = "22",

doi = "10.1093/bioinformatics/bth363",

language = "English",

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journal = "Bioinformatics",

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T1 - BioSilico

T2 - An integrated metabolic database system

AU - Hou, Bo Kyeng

AU - Kim, Jin Sik

AU - Jun, Ji Hoon

AU - Lee, Dong Yup

AU - Kim, Yong Wook

AU - Chae, Sujin

AU - Roh, Mira

AU - In, Yong Ho

AU - Lee, Sang Yup

PY - 2004/11/22

Y1 - 2004/11/22

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/10244239382

U2 - 10.1093/bioinformatics/bth363

DO - 10.1093/bioinformatics/bth363

M3 - Article

C2 - 15201189

AN - SCOPUS:10244239382

SN - 1367-4803

VL - 20

SP - 3270

EP - 3272

JO - Bioinformatics

JF - Bioinformatics

IS - 17

ER -

BioSilico: An integrated metabolic database system

Abstract

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