Literature DB >> 26951675

Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitro kcat measurements.

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

Mesh:

Substances:

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


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