Fuzzy intervention in biological phenomena

Hazem Nounou, Mohamed Nounou, Nader Meskin, Aniruddha Datta, Edward R. Dougherty

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

An important objective of modeling biological phenomena is to develop therapeutic intervention strategies to move an undesirable state of a diseased network toward a more desirable one. Such transitions can be achieved by the use of drugs to act on some genes/metabolites that affect the undesirable behavior. Due to the fact that biological phenomena are complex processes with nonlinear dynamics that are impossible to perfectly represent with a mathematical model, the need for model-free nonlinear intervention strategies that are capable of guiding the target variables to their desired values often arises. In many applications, fuzzy systems have been found to be very useful for parameter estimation, model development and control design of nonlinear processes. In this paper, a model-free fuzzy intervention strategy (that does not require a mathematical model of the biological phenomenon) is proposed to guide the target variables of biological systems to their desired values. The proposed fuzzy intervention strategy is applied to three different biological models: a glycolyticglycogenolytic pathway model, a purine metabolism pathway model, and a generic pathway model. The simulation results for all models demonstrate the effectiveness of the proposed scheme.

Original languageEnglish
Pages (from-to)1819-1825
Number of pages7
JournalIEEE/ACM Transactions on Computational Biology and Bioinformatics
Volume9
Issue number6
DOIs
Publication statusPublished - 2012

Fingerprint

Biological Phenomena
Theoretical Models
Biological Models
Nonlinear Dynamics
Pathway
Model
Mathematical Model
Mathematical models
Target
Nonlinear Process
Pharmaceutical Preparations
Genes
Biological Systems
Control Design
Fuzzy Systems
Metabolism
Biological systems
Fuzzy systems
Metabolites
Parameter Estimation

Keywords

  • Biological intervention
  • Fuzzy intervention
  • Fuzzy systems
  • Model-free intervention

ASJC Scopus subject areas

  • Biotechnology
  • Genetics
  • Applied Mathematics
  • Medicine(all)

Cite this

Fuzzy intervention in biological phenomena. / Nounou, Hazem; Nounou, Mohamed; Meskin, Nader; Datta, Aniruddha; Dougherty, Edward R.

In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 9, No. 6, 2012, p. 1819-1825.

Research output: Contribution to journalArticle

Nounou, Hazem ; Nounou, Mohamed ; Meskin, Nader ; Datta, Aniruddha ; Dougherty, Edward R. / Fuzzy intervention in biological phenomena. In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2012 ; Vol. 9, No. 6. pp. 1819-1825.
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