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Detecting breakdown points in metabolic networks.

Somnath Tagore1, Rajat K De

  • 1Department of Biotechnology and Bioinformatics, Dr DY Patil University, Navi Mumbai 400614, India.

Computational Biology and Chemistry
|November 22, 2011
PubMed
Summary
This summary is machine-generated.

Biological systems exhibit robustness through alternative metabolic pathways. This study quantifies pathway resilience to perturbations, revealing insights into cellular robustness and potential drug development targets.

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Area of Science:

  • Systems Biology
  • Metabolic Engineering
  • Computational Biology

Background:

  • Biological systems possess inherent robustness, utilizing alternative pathways to maintain essential functions despite genetic or environmental changes.
  • Metabolic pathways are crucial for survival, and their disruption can impact organismal health.
  • Understanding the resilience of these pathways is key to comprehending biological stability.

Purpose of the Study:

  • To quantitatively assess the robustness of metabolic pathways against external perturbations.
  • To investigate the relationship between metabolic network structure and resilience to both random and targeted attacks.
  • To identify critical metabolite essentiality and cellular robustness for potential drug development.

Main Methods:

  • A quantitative approach was employed to simulate perturbations in metabolic pathways.
  • External perturbations were applied to 12 carbohydrate metabolism pathways in Saccharomyces cerevisiae and 14 in Homo sapiens.
  • A 'Resilience score' was developed to quantify network breakdown and analyze metabolite essentiality.

Main Results:

  • The study investigated the behavior of metabolic pathways under carbohydrate metabolism in S. cerevisiae and H. sapiens against random and targeted attacks.
  • Resilience scores were calculated for both random and targeted perturbations.
  • Metabolic networks demonstrate exceptional robustness compared to non-standard models.

Conclusions:

  • Metabolic pathways exhibit significant robustness against various perturbations.
  • The developed 'Resilience score' provides a quantitative measure for network breakdown and metabolite essentiality.
  • This research offers insights into cellular robustness, potentially guiding future drug development strategies.