| Literature DB >> 26951675 |
Dan Davidi1, Elad Noor2, Wolfram Liebermeister3, Arren Bar-Even4, Avi Flamholz5, Katja Tummler6, Uri Barenholz1, Miki Goldenfeld1, Tomer Shlomi7, Ron Milo8.
Abstract
Turnover numbers, also known as kcat values, are fundamental properties of enzymes. However, kcat data are scarce and measured in vitro, thus may not faithfully represent the in vivo situation. A basic question that awaits elucidation is: how representative are kcat values for the maximal catalytic rates of enzymes in vivo? Here, we harness omics data to calculate kmax(vivo), the observed maximal catalytic rate of an enzyme inside cells. Comparison with kcat values from Escherichia coli, yields a correlation ofr(2)= 0.62 in log scale (p < 10(-10)), with a root mean square difference of 0.54 (3.5-fold in linear scale), indicating that in vivo and in vitro maximal rates generally concur. By accounting for the degree of saturation of enzymes and the backward flux dictated by thermodynamics, we further refine the correspondence between kmax(vivo) and kcat values. The approach we present here characterizes the quantitative relationship between enzymatic catalysis in vitro and in vivo and offers a high-throughput method for extracting enzyme kinetic constants from omics data.Entities:
Keywords: flux balance analysis; kcat; kinetic constants; proteomics; turnover number
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Year: 2016 PMID: 26951675 PMCID: PMC4812741 DOI: 10.1073/pnas.1514240113
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205