The systems biology markup language (SBML):: a medium for representation and exchange of biochemical network models

被引:1959
|
作者
Hucka, M
Finney, A
Sauro, HM
Bolouri, H
Doyle, JC
Kitano, H
Arkin, AP
Bornstein, BJ
Bray, D
Cornish-Bowden, A
Cuellar, AA
Dronov, S
Gilles, ED
Ginkel, M
Gor, V
Goryanin, II
Hedley, WJ
Hodgman, TC
Hofmeyr, JH
Hunter, PJ
Juty, NS
Kasberger, JL
Kremling, A
Kummer, U
Le Novère, N
Loew, LM
Lucio, D
Mendes, P
Minch, E
Mjolsness, ED
Nakayama, Y
Nelson, MR
Nielsen, PF
Sakurada, T
Schaff, JC
Shapiro, BE
Shimizu, TS
Spence, HD
Stelling, J
Takahashi, K
Tomita, M
Wagner, J
Wang, J
机构
[1] CALTECH, Pasadena, CA 91125 USA
[2] ERATO, Kitano Symbiot Syst Project, Tokyo, Japan
[3] Univ Hertfordshire, Hatfield AL10 9AB, Herts, England
[4] Syst Biol Inst, Tokyo, Japan
[5] Univ Calif Berkeley, Berkeley, CA 94720 USA
[6] NASA, JPL, Pasadena, CA USA
[7] Univ Cambridge, Cambridge, England
[8] CNRS, BIP, Marseille, France
[9] Univ Auckland, Auckland 1, New Zealand
[10] GlaxoSmithKline, Stevenage, Herts, England
[11] Max Planck Inst Complex Tech Syst, Magdeburg, Germany
[12] Univ Stellenbosch, ZA-7600 Stellenbosch, South Africa
[13] EML, Heidelberg, Germany
[14] Univ Connecticut, Ctr Hlth, Farmington, CT USA
[15] Virginia Bioinformat Inst, Blacksburg, VA USA
[16] Keio Univ, Tokyo, Japan
[17] Physiome Sci Inc, Princeton, NJ USA
[18] Sony Comp Sci Labs Inc, Tokyo, Japan
[19] LION Biosci AG, Heidelberg, Germany
[20] Univ Calif Irvine, Sch Informat & Comp Sci, Irvine, CA USA
关键词
D O I
10.1093/bioinformatics/btg015
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Molecular biotechnology now makes it possible to build elaborate systems models, but the systems biology community needs information standards if models are to be shared, evaluated and developed cooperatively. Results: We summarize the Systems Biology Markup Language (SBML) Level 1, a free, open, XML-based format for representing biochemical reaction networks. SBML is a software-independent language for describing models common to research in many areas of computational biology, including cell signaling pathways, metabolic pathways, gene regulation, and others.
引用
收藏
页码:524 / 531
页数:8
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