| Literature DB >> 30787451 |
Laurent Heirendt1, Sylvain Arreckx1, Thomas Pfau2, Sebastián N Mendoza3,4, Anne Richelle5, Almut Heinken1, Hulda S Haraldsdóttir1, Jacek Wachowiak1, Sarah M Keating6, Vanja Vlasov1, Stefania Magnusdóttir1, Chiam Yu Ng7, German Preciat1, Alise Žagare1, Siu H J Chan7, Maike K Aurich1, Catherine M Clancy1, Jennifer Modamio1, John T Sauls8, Alberto Noronha1, Aarash Bordbar9, Benjamin Cousins10, Diana C El Assal1, Luis V Valcarcel11, Iñigo Apaolaza11, Susan Ghaderi1, Masoud Ahookhosh1, Marouen Ben Guebila1, Andrejs Kostromins12, Nicolas Sompairac13, Hoai M Le1, Ding Ma14, Yuekai Sun15, Lin Wang7, James T Yurkovich16, Miguel A P Oliveira1, Phan T Vuong1, Lemmer P El Assal1, Inna Kuperstein13, Andrei Zinovyev13, H Scott Hinton17, William A Bryant18, Francisco J Aragón Artacho19, Francisco J Planes11, Egils Stalidzans12, Alejandro Maass3,4, Santosh Vempala10, Michael Hucka20, Michael A Saunders14, Costas D Maranas7, Nathan E Lewis5,21, Thomas Sauter2, Bernhard Ø Palsson16,22, Ines Thiele1, Ronan M T Fleming23,24.
Abstract
Constraint-based reconstruction and analysis (COBRA) provides a molecular mechanistic framework for integrative analysis of experimental molecular systems biology data and quantitative prediction of physicochemically and biochemically feasible phenotypic states. The COBRA Toolbox is a comprehensive desktop software suite of interoperable COBRA methods. It has found widespread application in biology, biomedicine, and biotechnology because its functions can be flexibly combined to implement tailored COBRA protocols for any biochemical network. This protocol is an update to the COBRA Toolbox v.1.0 and v.2.0. Version 3.0 includes new methods for quality-controlled reconstruction, modeling, topological analysis, strain and experimental design, and network visualization, as well as network integration of chemoinformatic, metabolomic, transcriptomic, proteomic, and thermochemical data. New multi-lingual code integration also enables an expansion in COBRA application scope via high-precision, high-performance, and nonlinear numerical optimization solvers for multi-scale, multi-cellular, and reaction kinetic modeling, respectively. This protocol provides an overview of all these new features and can be adapted to generate and analyze constraint-based models in a wide variety of scenarios. The COBRA Toolbox v.3.0 provides an unparalleled depth of COBRA methods.Entities:
Mesh:
Year: 2019 PMID: 30787451 PMCID: PMC6635304 DOI: 10.1038/s41596-018-0098-2
Source DB: PubMed Journal: Nat Protoc ISSN: 1750-2799 Impact factor: 13.491