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Behavioral Assays for Optogenetic Manipulation of Neural Circuits in Drosophila melanogaster
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Parameter estimation and determinability analysis applied to Drosophila gap gene circuits.

Maksat Ashyraliyev1, Johannes Jaeger, Joke G Blom

  • 1CWI, Kruislaan 413, 1098 SJ Amsterdam, The Netherlands. M.Ashyraliyev@cwi.nl

BMC Systems Biology
|September 27, 2008
PubMed
Summary
This summary is machine-generated.

Parameter estimation quality is crucial for biological models. This study shows that while quantitative conclusions are unreliable for Drosophila gene circuits due to parameter correlations, qualitative insights into gene network topology remain valid.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Developmental Biology

Background:

  • Mathematical models require parameter estimation for real-life processes.
  • Assessing parameter estimate quality is vital for drawing biological conclusions.

Purpose of the Study:

  • To develop and apply a methodology for analyzing parameter estimate quality.
  • To assess parameter determinability in gene circuit models of Drosophila embryos.

Main Methods:

  • Parameter estimation via optimization.
  • Analysis of parameter quality and determinability.
  • Application to gene circuit models.

Main Results:

  • Parameter correlations prevent accurate individual parameter determination.
  • Quantitative regulatory weights cannot be inferred reliably.
  • Qualitative conclusions on gene network topology are possible.

Conclusions:

  • The model is unsuitable for inferring quantitative regulatory weights.
  • Reliable qualitative conclusions on gene network topology can be drawn.
  • Identified specific interactions for which qualitative conclusions are robust or ambiguous.