{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T22:51:14Z","timestamp":1781045474666,"version":"3.54.1"},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,2,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: We present a Systems Biology Toolbox for the widely used general purpose mathematical software MATLAB. The toolbox offers systems biologists an open and extensible environment, in which to explore ideas, prototype and share new algorithms, and build applications for the analysis and simulation of biological and biochemical systems. Additionally it is well suited for educational purposes. The toolbox supports the Systems Biology Markup Language (SBML) by providing an interface for import and export of SBML models. In this way the toolbox connects nicely to other SBML-enabled modelling packages. Models are represented in an internal model format and can be described either by entering ordinary differential equations or, more intuitively, by entering biochemical reaction equations. The toolbox contains a large number of analysis methods, such as deterministic and stochastic simulation, parameter estimation, network identification, parameter sensitivity analysis and bifurcation analysis.<\/jats:p>\n               <jats:p>Availability: The Systems Biology Toolbox for MATLAB is open source and freely available from . The website also contains a tutorial, extensive documentation and examples.<\/jats:p>\n               <jats:p>Contact: \u00a0henning@fcc.chalmers.se<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti799","type":"journal-article","created":{"date-parts":[[2005,11,30]],"date-time":"2005-11-30T03:18:43Z","timestamp":1133320723000},"page":"514-515","source":"Crossref","is-referenced-by-count":383,"title":["Systems Biology Toolbox for MATLAB: a computational platform for research in systems biology"],"prefix":"10.1093","volume":"22","author":[{"given":"Henning","family":"Schmidt","sequence":"first","affiliation":[{"name":"Fraunhofer-Chalmers Research Centre for Industrial Mathematics \u00a0 Chalmers Science Park, SE-41288 G\u00f6teborg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mats","family":"Jirstrand","sequence":"additional","affiliation":[{"name":"Fraunhofer-Chalmers Research Centre for Industrial Mathematics \u00a0 Chalmers Science Park, SE-41288 G\u00f6teborg, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2005,11,29]]},"reference":[{"key":"2023012408501659400_b1","volume-title":"XPPAUT","author":"Ermentrout","year":"2000"},{"key":"2023012408501659400_b2","volume-title":"SBML Toolbox","author":"Keating","year":"2004"},{"key":"2023012408501659400_b3","volume-title":"Numerical Recipes in C, The Art of Scientific Computing","author":"Press","year":"1992","edition":"2nd edn"},{"key":"2023012408501659400_b4","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1049\/sb:20045015","article-title":"Linear systems approach to analysis of complex dynamic behaviours in biochemical networks","volume":"1","author":"Schmidt","year":"2004","journal-title":"IEE Syst. Biol."},{"key":"2023012408501659400_b5","doi-asserted-by":"crossref","first-page":"2141","DOI":"10.1111\/j.1742-4658.2005.04605.x","article-title":"Identification of small scale biochemical networks based on general type system perturbations","volume":"272","author":"Schmidt","year":"2005","journal-title":"FEBS J."},{"key":"2023012408501659400_b6","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511721779","volume-title":"Parametric Sensitivity in Chemical Systems","author":"Varma","year":"1999"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/22\/4\/514\/48838805\/bioinformatics_22_4_514.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/22\/4\/514\/48838805\/bioinformatics_22_4_514.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T08:50:47Z","timestamp":1674550247000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/22\/4\/514\/183389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,11,29]]},"references-count":6,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2006,2,15]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bti799","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2006,2,15]]},"published":{"date-parts":[[2005,11,29]]}}}