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

27 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

Access to Document

10.1093/bioinformatics/bth363

Cite this

@article{444b21f58c8240feaaf959ee9898f585,

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",

volume = "20",

pages = "3270--3272",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

number = "17",

}

TY - JOUR

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

Access to Document

Other files and links

Fingerprint

Cite this