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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 Carl D Christensen and Johann Rohwer, developed a Python based 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].
- ^ 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) - ^ 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.
- ^ 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.
- ^ Rohwer, Johann; Akhurst, Timothy; Hofmeyr, Jannie (2008). "Symbolic Control Analysis of Cellular Systems". Beilstein-Institut. S2CID 9216034.
- ^ 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.