Literature DB >> 20414900

The biological significance of substrate inhibition: a mechanism with diverse functions.

Michael C Reed1, Anna Lieb, H Frederik Nijhout.   

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 despite large fluctuations in tyrosine due to meals. Substrate inhibition of acetylcholinesterase enhances the neural signal and allows rapid signal termination. Substrate inhibition of phosphofructokinase ensures that resources are not devoted to manufacturing ATP when it is plentiful. In folate metabolism, substrate inhibition maintains reactions rates in the face of substantial folate deprivation. Substrate inhibition of DNA methyltransferase serves to faithfully copy DNA methylation patterns when cells divide while preventing de novo methylation of methyl-free promoter regions.

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Year:  2010        PMID: 20414900     DOI: 10.1002/bies.200900167

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  74 in total

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8.  Infinitesimal homeostasis in three-node input-output networks.

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Journal:  J Math Biol       Date:  2020-01-09       Impact factor: 2.259

9.  Structural insights into the putative bacterial acetylcholinesterase ChoE and its substrate inhibition mechanism.

Authors:  Van Dung Pham; Tuan Anh To; Cynthia Gagné-Thivierge; Manon Couture; Patrick Lagüe; Deqiang Yao; Marie-Ève Picard; Louis-André Lortie; Sabrina A Attéré; Xiaojun Zhu; Roger C Levesque; Steve J Charette; Rong Shi
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10.  Serotonin synthesis, release and reuptake in terminals: a mathematical model.

Authors:  Janet Best; H Frederik Nijhout; Michael Reed
Journal:  Theor Biol Med Model       Date:  2010-08-19       Impact factor: 2.432

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