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Literature DB >> 14641091

Systems biology markup language: Level 2 and beyond.

Abstract

The SBML (systems biology markup language) is a standard exchange format for computational models of biochemical networks. We continue developing SBML collaboratively with the modelling community to meet their evolving needs. The recently introduced SBML Level 2 includes several enhancements to the original Level 1, and features under development for SBML Level 3 include model composition, multistate chemical species and diagrams.

Mesh：

Year: 2003 PMID： 14641091 DOI： 10.1042/bst0311472

Source DB: PubMed Journal: Biochem Soc Trans ISSN： 0300-5127 Impact factor: 5.407

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Cited

60 in total

1. ArrayXPath: mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics.

Authors: Hee-Joon Chung; Mingoo Kim; Chan Hee Park; Jihoon Kim; Ju Han Kim
Journal: Nucleic Acids Res Date: 2004-07-01 Impact factor: 16.971

2. MathSBML: a package for manipulating SBML-based biological models.

Authors: Bruce E Shapiro; Michael Hucka; Andrew Finney; John Doyle
Journal: Bioinformatics Date: 2004-04-15 Impact factor: 6.937

Review 3. A system biology approach to identify regulatory pathways underlying the neuroendocrine control of female puberty in rats and nonhuman primates.

Authors: Alejandro Lomniczi; Hollis Wright; Juan Manuel Castellano; Kemal Sonmez; Sergio R Ojeda
Journal: Horm Behav Date: 2013-07 Impact factor: 3.587

4. AllerML: markup language for allergens.

Authors: Ovidiu Ivanciuc; Steven M Gendel; Trevor D Power; Catherine H Schein; Werner Braun
Journal: Regul Toxicol Pharmacol Date: 2011-03-21 Impact factor: 3.271

5. Antimony: a modular model definition language.

Authors: Lucian P Smith; Frank T Bergmann; Deepak Chandran; Herbert M Sauro
Journal: Bioinformatics Date: 2009-07-03 Impact factor: 6.937

Review 6. Standards and ontologies in computational systems biology.

Authors: Herbert M Sauro; Frank T Bergmann
Journal: Essays Biochem Date: 2008 Impact factor: 8.000

7. Arabidopsis reactome: a foundation knowledgebase for plant systems biology.

Authors: Nicolas Tsesmetzis; Matthew Couchman; Janet Higgins; Alison Smith; John H Doonan; Georg J Seifert; Esther E Schmidt; Imre Vastrik; Ewan Birney; Guanming Wu; Peter D'Eustachio; Lincoln D Stein; Richard J Morris; Michael W Bevan; Sean V Walsh
Journal: Plant Cell Date: 2008-06-30 Impact factor: 11.277