Literature DB >> 8402211

SCAMP: a general-purpose simulator and metabolic control analysis program.

H M Sauro.   

Abstract

SCAMP is a general-purpose simulator of metabolic and chemical networks. The program is written in C and is portable to all computer systems that support an ANSI C compiler. SCAMP accepts metabolic models described in a biochemical language, and this enables novice as well as experienced users rapidly to build and simulate metabolic systems. The language is sufficiently flexible to enable other types of model to be built, e.g. chemostat or ecological models. The language offers many facilities, including: the ability to describe metabolic pathways of any structure and possessing any kinetics using normal chemical notation; optionally build models directly from the differential equations; differing compartment volumes; access to flux, concentration and rate of change information; detection of conserved cycles; access to all coefficients and elasticities of metabolic control analysis; user-defined forcing functions at the model boundaries; user-defined monitoring functions; user-configurable output of any quantity. From the model description SCAMP can either generate C code for later compilation to produce fast executable stand-alone models or run-time code for input to a run-time interpreter for immediate execution. The simulator also incorporates an inbuilt symbolic differentiator for evaluating the Jacobian and elasticity matrices.

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Year:  1993        PMID: 8402211     DOI: 10.1093/bioinformatics/9.4.441

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  16 in total

1.  Control of the threonine-synthesis pathway in Escherichia coli: a theoretical and experimental approach.

Authors:  C Chassagnole; D A Fell; B Raïs; B Kudla; J P Mazat
Journal:  Biochem J       Date:  2001-06-01       Impact factor: 3.857

2.  An integrated study of threonine-pathway enzyme kinetics in Escherichia coli.

Authors:  C Chassagnole; B Raïs; E Quentin; D A Fell; J P Mazat
Journal:  Biochem J       Date:  2001-06-01       Impact factor: 3.857

3.  Fast evaluation of fluctuations in biochemical networks with the linear noise approximation.

Authors:  Johan Elf; Måns Ehrenberg
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

4.  Java Web Simulation (JWS); a web based database of kinetic models.

Authors:  J L Snoep; B G Olivier
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

Review 5.  Logical analysis of timing-dependent receptor signalling specificity: application to the insulin receptor metabolic and mitogenic signalling pathways.

Authors:  R M Shymko; P De Meyts; R Thomas
Journal:  Biochem J       Date:  1997-09-01       Impact factor: 3.857

6.  Myocardial energy metabolism in ischemic preconditioning and cardioplegia: a metabolic control analysis.

Authors:  Achim M Vogt; Albrecht Elsässer; Anja Pott-Beckert; Cordula Ackermann; Sven Y Vetter; Murat Yildiz; Wolfgang Schoels; David A Fell; Hugo A Katus; Wolfgang Kübler
Journal:  Mol Cell Biochem       Date:  2005-10       Impact factor: 3.396

7.  Flux control coefficients determined by inhibitor titration: the design and analysis of experiments to minimize errors.

Authors:  J R Small
Journal:  Biochem J       Date:  1993-12-01       Impact factor: 3.857

8.  Paradoxical control properties of enzymes within pathways: can activation cause an enzyme to have increased control?

Authors:  B N Kholodenko; G C Brown
Journal:  Biochem J       Date:  1996-03-15       Impact factor: 3.857

9.  Analysis of sucrose accumulation in the sugar cane culm on the basis of in vitro kinetic data.

Authors:  J M Rohwer; F C Botha
Journal:  Biochem J       Date:  2001-09-01       Impact factor: 3.857

10.  Implications of macromolecular crowding for signal transduction and metabolite channeling.

Authors:  J M Rohwer; P W Postma; B N Kholodenko; H V Westerhoff
Journal:  Proc Natl Acad Sci U S A       Date:  1998-09-01       Impact factor: 11.205

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