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Rules for biological regulation based on error minimization.

Guy Shinar1, Erez Dekel, Tsvi Tlusty

  • 1Molecular Cell Biology and Physics of Complex Systems, Weizmann Institute of Science, Rehovot 76100, Israel.

Proceedings of the National Academy of Sciences of the United States of America
|March 16, 2006
PubMed
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Gene regulation mechanisms, like activators and repressors, are chosen to minimize errors. This explains why frequently needed genes use activators and rarely needed genes use repressors, protecting regulatory sites from errors.

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Genetics

Background:

  • Gene expression regulation involves diverse mechanisms, including positive control (activators) and negative control (repressors).
  • The selection criteria for choosing between these regulatory modes for specific genes remain incompletely understood.

Purpose of the Study:

  • To propose a framework for understanding the rules governing the choice of gene regulatory mechanisms.
  • To explain the Savageau demand rule based on minimizing errors in gene regulation.

Main Methods:

  • Developing a model based on the assumption that free regulatory sites are prone to nonspecific binding errors.
  • Postulating that bound regulatory sites are protected from such errors, thus minimizing fitness-reducing errors.

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Main Results:

  • The error-minimization framework explains the Savageau demand rule: genes frequently needed are regulated by activators, and rarely needed genes by repressors.
  • This strategy ensures regulatory sites remain bound most of the time, minimizing errors and enhancing fitness.
  • The model can generate rules for multi-regulator systems and suggests testable hypotheses.

Conclusions:

  • Error minimization is a key selectable fitness advantage in gene regulation.
  • The proposed framework provides a unifying principle for understanding gene regulatory control.
  • This approach may extend to other biological regulation systems, including protein-protein interactions.