眼镜蛇
计算机科学
工具箱
系统生物学
约束(计算机辅助设计)
计算生物学
生物信息学
数学
生物
程序设计语言
几何学
作者
Laurent Heirendt,Sylvain Arreckx,Thomas Pfau,Sebastián N. Mendoza,Anne Richelle,Almut Heinken,Hulda S. Haraldsdóttir,Jacek Wachowiak,Sarah Keating,Vanja Vlasov,Stefanía Magnúsdóttir,Chiam Yu Ng,German Preciat,Alise Žagare,Siu Hung Joshua Chan,Maike K. Aurich,Catherine M. Clancy,Jennifer Modamio,John T. Sauls,Alberto Noronha
出处
期刊:Nature Protocols
[Nature Portfolio]
日期:2019-02-20
卷期号:14 (3): 639-702
被引量:1107
标识
DOI:10.1038/s41596-018-0098-2
摘要
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.
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