Derivation, identification and validation of a computational model of a novel synthetic regulatory network in yeast

DOI10.1007/s00285-010-0350-zzbMath1232.92050OpenAlexW1975928912WikidataQ51689540 ScholiaQ51689540MaRDI QIDQ663155

Diego di Bernardo, Mario di Bernardo, Stefania Santini, Lucia Marucci

Publication date: 14 February 2012

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-010-0350-z

zbMATH Keywords

Parameter identificationHill functionsSynthetic biology

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08) Systems biology, networks (92C42)

Related Items (1)

Complexity analysis and parameter estimation of dynamic metabolic systems

Uses Software

• dde23
• PottersWheel

Cites Work

• Identification of parametric models from experimental data. Transl. from an upd. French version by the authors, with the help of John Norton
• A 3(2) pair of Runge-Kutta formulas
• A survey of cross-validation procedures for model selection
• Model validation: a connection between robust control and identification
• Solving DDEs in Matlab
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