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

来源：

BIOINFORMATICS | 2003年 / 19卷 / 04期

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

页码：524 / 531

页数：8

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