2010
DOI: 10.1002/bies.200900167
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The biological significance of substrate inhibition: A mechanism with diverse functions

Abstract: Many enzymes are inhibited by their own substrates, leading to velocity curves that rise to a maximum and then descend as the substrate concentration increases. Substrate inhibition is often regarded as a biochemical oddity and experimental annoyance. We show, using several case studies, that substrate inhibition often has important biological functions. In each case we discuss, the biological significance is different. Substrate inhibition of tyrosine hydroxylase results in a steady synthesis of dopamine desp… Show more

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Cited by 301 publications
(256 citation statements)
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“…It has been estimated that substrate inhibition occurs for ϳ20% of all wild-type enzymes, and it typically is observed at substrate concentrations that are higher than the physiological levels (27). Although the molecular basis for substrate inhibition is not always apparent, one explanation for it is that the enzyme has two binding sites for its substrate: a productive site where binding produces product and a non-productive site where binding produces the product at a reduced rate (33). A plausible explanation for the substrate inhibition observed for the ICMT mutants is that these residues line the lipid binding pocket that recognizes the isoprenyl moiety of ICMT substrates and that mutating these residues alters the substrate binding pocket slightly such that the isoprenylcysteine substrate can bind in a non-productive conformation.…”
Section: Discussionmentioning
confidence: 99%
“…It has been estimated that substrate inhibition occurs for ϳ20% of all wild-type enzymes, and it typically is observed at substrate concentrations that are higher than the physiological levels (27). Although the molecular basis for substrate inhibition is not always apparent, one explanation for it is that the enzyme has two binding sites for its substrate: a productive site where binding produces product and a non-productive site where binding produces the product at a reduced rate (33). A plausible explanation for the substrate inhibition observed for the ICMT mutants is that these residues line the lipid binding pocket that recognizes the isoprenyl moiety of ICMT substrates and that mutating these residues alters the substrate binding pocket slightly such that the isoprenylcysteine substrate can bind in a non-productive conformation.…”
Section: Discussionmentioning
confidence: 99%
“…There are several models available to explain substrate inhibition (44), but one attractive model for Ugd K-12 invokes the possibility that multiple molecules of NAD enter the active site. The structure of Ugd Kp (which shares 93% sequence similarity with Ugd K-12 ) has been solved from a cocrystal of the enzyme with NAD, revealing that the binding pocket for NAD is relatively open (11).…”
Section: Discussionmentioning
confidence: 99%
“…Barkai and Leibler (1997) showed how feedback in simple metabolic networks can lead to robustness of enzyme activity around a setpoint, and that the setpoint can be altered by changing the parameters of the system. Parallel pathways are thought to convey robustness in gene regulatory and biochemical networks (Wagner 2000), as are substrate inhibition mechanisms (Reed et al 2010). In development, lateral inhibition and Turing-style reaction-diffusion mechanisms (Turing 1952;Meinhardt 1982;Meir et al 2002;De Joussineau et al 2003;Salazar-Ciudad et al 2003) with short range autocatalysis and long range inhibition produce bistable spatial patterns of high and low activator biosynthesis.…”
Section: Mechanisms Of Robustnessmentioning
confidence: 99%
“…A large number of enzymes are activated or inhibited by metabolites from elsewhere in the network. A surprisingly large number of enzymes exhibit substrate inhibition (Reed et al 2010), which adds to the nonlinearity. Transporters import and recycle metabolites within and between cells, and the circulatory system shuttles metabolites between tissues and organs.…”
Section: Mathematical Models Of Biological Systemsmentioning
confidence: 99%