ArticleJournal of mathematical biology2011
Derivation, identification and validation of a computational model of a novel synthetic regulatory network in yeast.
Article in Journal of mathematical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Novel Single-Layer Microfluidic Device for Dynamic Stimulation, Culture, and Imaging of Mammalian Cells.Biosensors · 2025Article
- Validation and selection of ODE based systems biology models: how to arrive at more reliable decisions.BMC systems biology · 2015Article
- Complexity analysis and parameter estimation of dynamic metabolic systems.Computational and mathematical methods in medicine · 2013Article
- Modeling dynamic regulatory processes in stroke.PLoS computational biology · 2012Article
- Multi-scale genetic dynamic modelling I : an algorithm to compute generators.Theory in biosciences = Theorie in den Biowissenschaften · 2011Article
- Identification of metabolic network models from incomplete high-throughput datasets.Bioinformatics (Oxford, England) · 2011Article
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Authors and funding
4 authors.
Funding
Abstract
Systems biology aims at building computational models of biological pathways in order to study in silico their behaviour and to verify biological hypotheses. Modelling can become a new powerful method in molecular biology, if correctly used. Here we present step-by-step the derivation and identification of the dynamical model of a biological pathway using a novel synthetic network recently constructed in the yeast Saccharomyces cerevisiae for In-vivo Reverse-Engineering and Modelling Assessment. This network consists of five genes regulating each other transcription. Moreover, it includes one protein-protein interaction, and its genes can be switched on by addition of galactose to the medium. In order to describe the network dynamics, we adopted a deterministic modelling approach based on non-linear differential equations. We show how, through iteration between experiments and modelling, it is possible to derive a semi-quantitative prediction of network behaviour and to better understand the biology of the pathway of interest.
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Registered trials
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