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A MATLAB toolbox for modeling genetic circuits in cell-free systems.
Singhal, Vipul; Tuza, Zoltan A; Sun, Zachary Z; Murray, Richard M.
Afiliación
  • Singhal V; Spatial and Single Cell Systems Domain, Genome Institute of Singapore, 60 Biopolis St, 138672, Singapore.
  • Tuza ZA; Department of Bioengineering, Imperial College London, Exhibition Rd, South Kensington, SW7 2BU, London, UK.
  • Sun ZZ; Tierra Bioscienes, 1933 Davis St #223, 94577, CA, USA.
  • Murray RM; Control and Dynamical Systems and Biology and Biological Engineering, California Institute of Technology, 1200 E California Blvd, 91125, CA, USA.
Synth Biol (Oxf) ; 6(1): ysab007, 2021.
Article en En | MEDLINE | ID: mdl-33981862
We introduce a MATLAB-based simulation toolbox, called txtlsim, for an Escherichia coli-based Transcription-Translation (TX-TL) system. This toolbox accounts for several cell-free-related phenomena, such as resource loading, consumption and degradation, and in doing so, models the dynamics of TX-TL reactions for the entire duration of solution phase batch-mode experiments. We use a Bayesian parameter inference approach to characterize the reaction rate parameters associated with the core transcription, translation and mRNA degradation mechanics of the toolbox, allowing it to reproduce constitutive mRNA and protein-expression trajectories. We demonstrate the use of this characterized toolbox in a circuit behavior prediction case study for an incoherent feed-forward loop.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Synth Biol (Oxf) Año: 2021 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Synth Biol (Oxf) Año: 2021 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido