Method for determining natural design principles of biological control circuits

Michael A. Savageau

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

We illustrate a method of controlled mathematical comparison for determining design principles of biological control circuits. The method involves the comparison of alternative circuits that differ in a single process, that are constrained so as to eliminate extraneous differences, and that are compared quantitatively on the basis of a priori criteria for functional effectiveness. We use this method to compare two forms of coupling that are important in the regulation of repressible gene expression. The first form, which is called complete uncoupling, is marked by a constant level of regulator protein. The second form, which is called perfect coupling, is marked by a level of regulator protein that varies coordinately with the level of repressible enzyme under control. Our results indicate that, for a large class of systems, performance is better with perfect coupling than with complete uncoupling if the regulator protein is a represser, and conversely, that performance is better with complete uncoupling than with perfect coupling if the regulator protein is an activator. These results lead to testable predictions that are consistent with available data.

Original languageEnglish (US)
Pages (from-to)147-160
Number of pages14
JournalJournal of Intelligent and Fuzzy Systems
Volume6
Issue number1
StatePublished - 1998
Externally publishedYes

Fingerprint

Biological Control
Regulator
Proteins
Protein
Networks (circuits)
Gene expression
Gene Expression
System Performance
Enzymes
Eliminate
Vary
Design
Prediction
Alternatives
Form

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Method for determining natural design principles of biological control circuits. / Savageau, Michael A.

In: Journal of Intelligent and Fuzzy Systems, Vol. 6, No. 1, 1998, p. 147-160.

Research output: Contribution to journalArticle

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