Szederkényi, Gábor and J, R and A, A (2012) CRNreals: a toolbox for distinguishability and identifiability analysis of biochemical reaction networks. BIOINFORMATICS, 28 (11). pp. 1549-1550. ISSN 1367-4803 10.1093/bioinformatics/bts171

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Abstract

Summary: Chemical reaction network theory is widely used in modeling and analyzing complex biochemical systems such as metabolic networks and cell signalling pathways. Being able to produce all the biologically and chemically important qualitative dynamical features, chemical reaction networks (CRNs) have attracted significant attention in the systems biology community. It is well-known that the reliable inference of CRN models generally requires thorough identifiability and distinguishability analysis together with carefully selected prior modeling assumptions. Here, we present a software toolbox CRNreals that supports the distinguishability and identifiability analysis of CRN models using recently published optimization-based procedures. Availability and implementation: The CRNreals toolbox and the associated documentation are available at http://www.iim.csic.es/~gingproc/CRNreals/. The toolbox runs under the popular MATLAB computational environment and supports several free and commercial linear programming and mixed integer linear programming solvers.

Item Type:	ISI Article
Subjects:	Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions:	Systems and Control Lab
Depositing User:	EPrints Admin
Date Deposited:	16 Jan 2014 10:32
Last Modified:	05 Feb 2014 12:27
URI:	https://eprints.sztaki.hu/id/eprint/7472

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