Abstract
The sensitivity (change of flux per unit change in the concentration of substrate) and response (change of flux per unit change in the concentration of modifier) are studied for a two-site Adair model in which cooperativity arises from both binding and catalytic interactions. For positive cooperativity, the sensitivity is weakly dependent on the Hill coefficient for the binding case, but can increase without limit for the catalytic case. Negatively cooperative enzymes (binding only) give very large sensitivities compared with positively or non-interacting systems, but the sensitivity rapidly decreases as the saturation increases above 25%. Modifiers greatly enhance the sensitivity; large changes in flux can be obtained for small changes in the concentrations of substrates and modifiers. In general, increasing the degree of kinetic cooperativity decreases the degree of binding cooperativity; selective pressure to maximize the sensitivity and response of allosteric enzymes may act to optimize cooperativity of binding modifiers and kinetic cooperativity of substrate turnover. The initial velocity equations including modifiers can be extended to bi-substrate, cooperative kinetics. The kinetics of methanol dehydrogenase are discussed.
Original language | English |
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Pages (from-to) | 491-508 |
Number of pages | 18 |
Journal | Journal of Theoretical Biology |
Volume | 99 |
Issue number | 3 |
DOIs | |
State | Published - Dec 7 1982 |
Bibliographical note
Funding Information:I am grateful to Professor Kasper Kirschner for his support and encouragement, to Drs Robin Ghosh and John Shiner for stimulating discussions and critical reading of the manuscript, and to Frau Erika Johner for the pains she took beyond the call of duty to type it. This work was supported by Swiss National Fund Grant Number 3.144-0.80.
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- General Biochemistry, Genetics and Molecular Biology
- General Immunology and Microbiology
- General Agricultural and Biological Sciences
- Applied Mathematics