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Revision as of 00:15, 2 May 2024


Jannie Hofmeyr published the first catalog of control patterns in metabolic control analysis (MCA). His doctoral research[1] concerned the use of graphical patterns to elucidate chains of interaction in metabolic regulation, later published in the European Journal of Biochemistry[2]. In his thesis, he cataloged 25 patterns for various biochemical networks. In later work, his research group, together with Johann Rohwer and colleagues, developed a software tool called SymCA that was part of the PySCeSToolbox toolkit [3][4] that could generate patterns automatically and symbolically from a description of the network. This software was used to generate the patterns shown below.

The control equations, especially the numerators of the equations, can give information on the relative importance and routes by which perturbations travel through a biochemical network[5].

Notation

Control patterns describe how a perturbation to a given parameter affects the steady-state level of a given variable. For example, a concentration control coefficient can describe how the overexpression of a specific enzyme can influence steady-state metabolite concentrations. Flux control coefficients are similar in that they describe how a perturbation in a given enzyme affects steady-state flux through a pathway. Such coefficients can be written in terms of elasticity coefficients.

Elasticity coefficients are local properties that describe how a single reaction is influenced by changes in the substrates and products that might influence the rate. For example, given a reaction such as:

we will assume it has a rate of reaction of . This reaction rate can be influenced by changes in the concentrations of substrate or product . This influence is measured by an elasticity which is defined as:

The superscript on the elasticity indicates the particular reaction and the subscript the effector being studied.

Linear Chains

Two-Step Pathway

Assuming both steps are Irreversible

Assuming both steps are Reversible

Three-Step Pathway

Assuming the three steps are Irreversible

Denominator:

Assume that each of the following expressions is divided by d

Assuming the three steps are Reversible

Denominator:

Assume that each of the following expressions is divided by

Four-Step Pathway

Denominator:

Assume that each of the following expressions is divided by .

Linear Chains with Negative Feedback

Three-Step Pathway

Denominator:

Assume that each of the following expressions is divided by .

Four-Step Pathway


Branched Pathways

At steady-state , therefore define the following two terms:

Denominator:

Assume that each of the following expressions is divided by .

See also

References

  1. ^ Hofmeyr, Jan-Hendrik (1986). Studies in steady-state modelling and control analysis of metabolic systems. University of Stellenbosch.{{cite book}}: CS1 maint: location missing publisher (link)
  2. ^ Hofmeyr, J.-H. S. (1989). "Control-pattern analysis of metabolic pathways: Flux and concentration control in linear pathways". Eur. J. Biochem. 186 (1–2): 343–354. doi:10.1111/j.1432-1033.1989.tb15215.x. PMID 2598934.
  3. ^ Christensen, Carl D; Hofmeyr, Jan-Hendrik S; Rohwer, Johann M (1 January 2018). "PySCeSToolbox: a collection of metabolic pathway analysis tools". Bioinformatics. 34 (1): 124–125. doi:10.1093/bioinformatics/btx567. PMID 28968872.
  4. ^ Rohwer, Johann; Akhurst, Timothy; Hofmeyr, Jannie (2008). "Symbolic Control Analysis of Cellular Systems". Beilstein-Institut. S2CID 9216034.
  5. ^ Christensen, Carl D.; Hofmeyr, Jan-Hendrik S.; Rohwer, Johann M. (28 November 2018). "Delving deeper: Relating the behaviour of a metabolic system to the properties of its components using symbolic metabolic control analysis". PLOS ONE. 13 (11): e0207983. Bibcode:2018PLoSO..1307983C. doi:10.1371/journal.pone.0207983. PMC 6261606. PMID 30485345.


Category:Metabolism Category:Mathematical and theoretical biology Category:Systems biology