Literature DB >> 21148545

SurreyFBA: a command line tool and graphics user interface for constraint-based modeling of genome-scale metabolic reaction networks.

Albert Gevorgyan1, Michael E Bushell, Claudio Avignone-Rossa, Andrzej M Kierzek.   

Abstract

UNLABELLED: Constraint-based modeling of genome-scale metabolic networks has been successfully used in numerous applications such as prediction of gene essentiality and metabolic engineering. We present SurreyFBA, which provides constraint-based simulations and network map visualization in a free, stand-alone software. In addition to basic simulation protocols, the tool also implements the analysis of minimal substrate and product sets, which is useful for metabolic engineering and prediction of nutritional requirements in complex in vivo environments, but not available in other commonly used programs. The SurreyFBA is based on a command line interface to the GLPK solver distributed as binary and source code for the three major operating systems. The command line tool, implemented in C++, is easily executed within scripting languages used in the bioinformatics community and provides efficient implementation of tasks requiring iterative calls to the linear programming solver. SurreyFBA includes JyMet, a graphics user interface allowing spreadsheet-based model presentation, visualization of numerical results on metabolic networks represented in the Petri net convention, as well as in charts and plots. AVAILABILITY: SurreyFBA is distributed under GNU GPL license and available from http://sysbio3.fhms.surrey.ac.uk/SurreyFBA.zip.

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Year:  2010        PMID: 21148545     DOI: 10.1093/bioinformatics/btq679

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  21 in total

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Review 2.  Proteomics and systems biology: current and future applications in the nutritional sciences.

Authors:  J Bernadette Moore; Mark E Weeks
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Review 3.  Systems biology approaches for studying the pathogenesis of non-alcoholic fatty liver disease.

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Journal:  World J Gastroenterol       Date:  2014-11-07       Impact factor: 5.742

Review 4.  Hybrid modelling of biological systems: current progress and future prospects.

Authors:  Fei Liu; Monika Heiner; David Gilbert
Journal:  Brief Bioinform       Date:  2022-05-13       Impact factor: 13.994

5.  Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0.

Authors:  Laurent Heirendt; Sylvain Arreckx; Thomas Pfau; Sebastián N Mendoza; Anne Richelle; Almut Heinken; Hulda S Haraldsdóttir; Jacek Wachowiak; Sarah M Keating; Vanja Vlasov; Stefania Magnusdóttir; Chiam Yu Ng; German Preciat; Alise Žagare; Siu H J Chan; Maike K Aurich; Catherine M Clancy; Jennifer Modamio; John T Sauls; Alberto Noronha; Aarash Bordbar; Benjamin Cousins; Diana C El Assal; Luis V Valcarcel; Iñigo Apaolaza; Susan Ghaderi; Masoud Ahookhosh; Marouen Ben Guebila; Andrejs Kostromins; Nicolas Sompairac; Hoai M Le; Ding Ma; Yuekai Sun; Lin Wang; James T Yurkovich; Miguel A P Oliveira; Phan T Vuong; Lemmer P El Assal; Inna Kuperstein; Andrei Zinovyev; H Scott Hinton; William A Bryant; Francisco J Aragón Artacho; Francisco J Planes; Egils Stalidzans; Alejandro Maass; Santosh Vempala; Michael Hucka; Michael A Saunders; Costas D Maranas; Nathan E Lewis; Thomas Sauter; Bernhard Ø Palsson; Ines Thiele; Ronan M T Fleming
Journal:  Nat Protoc       Date:  2019-03       Impact factor: 13.491

6.  MultiMetEval: comparative and multi-objective analysis of genome-scale metabolic models.

Authors:  Piotr Zakrzewski; Marnix H Medema; Albert Gevorgyan; Andrzej M Kierzek; Rainer Breitling; Eriko Takano
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

7.  Construction and completion of flux balance models from pathway databases.

Authors:  Mario Latendresse; Markus Krummenacker; Miles Trupp; Peter D Karp
Journal:  Bioinformatics       Date:  2012-01-18       Impact factor: 6.937

8.  Using bioconductor package BiGGR for metabolic flux estimation based on gene expression changes in brain.

Authors:  Anand K Gavai; Farahaniza Supandi; Hannes Hettling; Paul Murrell; Jack A M Leunissen; Johannes H G M van Beek
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

9.  Lipid metabolism and Type VII secretion systems dominate the genome scale virulence profile of Mycobacterium tuberculosis in human dendritic cells.

Authors:  Tom A Mendum; Huihai Wu; Andrzej M Kierzek; Graham R Stewart
Journal:  BMC Genomics       Date:  2015-05-09       Impact factor: 3.969

10.  Somatic transposition in the brain has the potential to influence the biosynthesis of metabolites involved in Parkinson's disease and schizophrenia.

Authors:  György Abrusán
Journal:  Biol Direct       Date:  2012-11-23       Impact factor: 4.540

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