minval: An R package for MINimal VALidation of Stoichiometric Reactions

A genome-scale metabolic reconstruction is a compilation of all stoichiometric reactions that can describe the entire cellular metabolism of an organism, and they have become an indispensable tool for our understanding of biological phenomena, covering fields that range from systems biology to bioengineering. Interrogation of metabolic reconstructions are generally carried through Flux Balance Analysis, an optimization method in which the biological sense of the optimal solution is highly sensitive to thermodynamic unbalance caused by the presence of stoichiometric reactions whose compounds are not produced or consumed in any other reaction (orphan metabolites) and by mass unbalance. The minval package was designed as a tool to identify orphan metabolites and evaluate the mass and charge balance of stoichiometric reactions. The package also includes functions to characterize and write models in TSV and SBML formats, extract all reactants, products, metabolite names and compartments from a metabolic reconstruction.

[1]  S. Lee,et al.  Metabolic flux analysis and metabolic engineering of microorganisms. , 2008, Molecular bioSystems.

[2]  Intawat Nookaew,et al.  The RAVEN Toolbox and Its Use for Generating a Genome-scale Metabolic Model for Penicillium chrysogenum , 2013, PLoS Comput. Biol..

[3]  Antje Chang,et al.  BRENDA in 2015: exciting developments in its 25th year of existence , 2014, Nucleic Acids Res..

[4]  Romain Bourqui,et al.  Pathway Preserving Representation of Metabolic Networks , 2011, Comput. Graph. Forum.

[5]  Peter D. Karp,et al.  The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases , 2007, Nucleic Acids Res..

[6]  Ronan M. T. Fleming,et al.  Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 , 2007, Nature Protocols.

[7]  B. Palsson,et al.  A protocol for generating a high-quality genome-scale metabolic reconstruction , 2010 .

[8]  David A. Fell,et al.  Detection of stoichiometric inconsistencies in biomolecular models , 2008, Bioinform..

[9]  Jong Myoung Park,et al.  Constraints-based genome-scale metabolic simulation for systems metabolic engineering. , 2009, Biotechnology advances.

[10]  Henning Hermjakob,et al.  The Reactome pathway knowledgebase , 2013, Nucleic Acids Res..

[11]  Ed Reznik,et al.  Flux Imbalance Analysis and the Sensitivity of Cellular Growth to Changes in Metabolite Pools , 2013, PLoS Comput. Biol..

[12]  David S. Wishart,et al.  SMPDB 2.0: Big Improvements to the Small Molecule Pathway Database , 2013, Nucleic Acids Res..

[13]  中尾 光輝,et al.  KEGG(Kyoto Encyclopedia of Genes and Genomes)〔和文〕 (特集 ゲノム医学の現在と未来--基礎と臨床) -- (データベース) , 2000 .

[14]  Martin J. Lercher,et al.  sybil – Efficient constraint-based modelling in R , 2013, BMC Systems Biology.

[15]  David Z. Chen,et al.  Automatic reaction mapping and reaction center detection , 2013 .

[16]  James B. Hendrickson Comprehensive System for Classification and Nomenclature of Organic Reactions. , 1997 .