Literature DB >> 20446702

A database of thermodynamic quantities for the reactions of glycolysis and the tricarboxylic acid cycle.

X Li1, R K Dash, R K Pradhan, F Qi, M Thompson, K C Vinnakota, F Wu, F Yang, D A Beard.   

Abstract

Analysis of biochemical systems requires reliable and self-consistent databases of thermodynamic properties for biochemical reactions. Here a database of thermodynamic properties for the reactions of glycolysis and the tricarboxylic acid cycle is developed from measured equilibrium data. Species-level free energies of formation are estimated on the basis of comparing thermodynamic model predictions for reaction-level equilibrium constants to previously reported data obtained under different experimental conditions. Matching model predictions to the data involves applying state corrections for ionic strength, pH, and metal ion binding for each input experimental biochemical measurement. By archiving all of the raw data, documenting all model assumptions and calculations, and making the computer package and data available, this work provides a framework for extension and refinement by adding to the underlying raw experimental data in the database and/or refining the underlying model assumptions. Thus the resulting database is a refinement of preexisting databases of thermodynamics in terms of reliability, self-consistency, transparency, and extensibility.

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Year:  2010        PMID: 20446702      PMCID: PMC3299200          DOI: 10.1021/jp911381p

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  34 in total

1.  Equilibrium compositions of solutions of biochemical species and heats of biochemical reactions.

Authors:  R A Alberty
Journal:  Proc Natl Acad Sci U S A       Date:  1991-04-15       Impact factor: 11.205

2.  Thermodynamics of the purine nucleotide cycle.

Authors:  Robert A Alberty
Journal:  Biophys Chem       Date:  2006-04-05       Impact factor: 2.352

3.  Thermodynamic properties of enzyme-catalyzed reactions involving cytosine, uracil, thymine, and their nucleosides and nucleotides.

Authors:  Robert A Alberty
Journal:  Biophys Chem       Date:  2007-01-22       Impact factor: 2.352

4.  Computer modeling of mitochondrial tricarboxylic acid cycle, oxidative phosphorylation, metabolite transport, and electrophysiology.

Authors:  Fan Wu; Feng Yang; Kalyan C Vinnakota; Daniel A Beard
Journal:  J Biol Chem       Date:  2007-06-25       Impact factor: 5.157

5.  Thermodynamics and kinetics of the glyoxylate cycle.

Authors:  Robert A Alberty
Journal:  Biochemistry       Date:  2006-12-05       Impact factor: 3.162

6.  The value of G degrees for the hydrolysis of ATP.

Authors:  J Rosing; E C Slater
Journal:  Biochim Biophys Acta       Date:  1972-05-25

7.  Thermodynamics of hydrolysis of sugar phosphates.

Authors:  Y B Tewari; D K Steckler; R N Goldberg; W L Gitomer
Journal:  J Biol Chem       Date:  1988-03-15       Impact factor: 5.157

8.  Equilibrium constants under physiological conditions for the reactions of D-3-phosphoglycerate dehydrogenase and L-phosphoserine aminotransferase.

Authors:  D K Merrill; J C McAlexander; R W Guynn
Journal:  Arch Biochem Biophys       Date:  1981-12       Impact factor: 4.013

9.  Equilibrium constants under physiological conditions for the reactions of the nonphosphorylated pathway of L-serine biosynthesis.

Authors:  R W Guynn
Journal:  Arch Biochem Biophys       Date:  1982-10-01       Impact factor: 4.013

10.  Influence of uncertainties in pH, pMg, activity coefficients, metabolite concentrations, and other factors on the analysis of the thermodynamic feasibility of metabolic pathways.

Authors:  Vojislav Vojinović; Urs von Stockar
Journal:  Biotechnol Bioeng       Date:  2009-07-01       Impact factor: 4.530

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  11 in total

1.  Kinetics and regulation of mammalian NADH-ubiquinone oxidoreductase (Complex I).

Authors:  Xuewen Chen; Feng Qi; Ranjan K Dash; Daniel A Beard
Journal:  Biophys J       Date:  2010-09-08       Impact factor: 4.033

2.  Identification of the catalytic mechanism and estimation of kinetic parameters for fumarase.

Authors:  Muriel Mescam; Kalyan C Vinnakota; Daniel A Beard
Journal:  J Biol Chem       Date:  2011-04-15       Impact factor: 5.157

3.  Feedback Regulation and Time Hierarchy of Oxidative Phosphorylation in Cardiac Mitochondria.

Authors:  Kalyan C Vinnakota; Jason N Bazil; Françoise Van den Bergh; Robert W Wiseman; Daniel A Beard
Journal:  Biophys J       Date:  2016-02-23       Impact factor: 4.033

Review 4.  Simulation of cellular biochemical system kinetics.

Authors:  Daniel A Beard
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-12-17

5.  Characterization of the kinetics of cardiac cytosolic malate dehydrogenase and comparative analysis of cytosolic and mitochondrial isoforms.

Authors:  Santosh K Dasika; Kalyan C Vinnakota; Daniel A Beard
Journal:  Biophys J       Date:  2015-01-20       Impact factor: 4.033

6.  Determination of the catalytic mechanism for mitochondrial malate dehydrogenase.

Authors:  Santosh K Dasika; Kalyan C Vinnakota; Daniel A Beard
Journal:  Biophys J       Date:  2015-01-20       Impact factor: 4.033

7.  A database of thermodynamic properties of the reactions of glycolysis, the tricarboxylic acid cycle, and the pentose phosphate pathway.

Authors:  Xin Li; Fan Wu; Feng Qi; Daniel A Beard
Journal:  Database (Oxford)       Date:  2011-04-11       Impact factor: 3.451

8.  Detailed kinetics and regulation of mammalian 2-oxoglutarate dehydrogenase.

Authors:  Feng Qi; Ranjan K Pradhan; Ranjan K Dash; Daniel A Beard
Journal:  BMC Biochem       Date:  2011-09-26       Impact factor: 4.059

9.  System-level insights into yeast metabolism by thermodynamic analysis of elementary flux modes.

Authors:  Stefan J Jol; Anne Kümmel; Marco Terzer; Jörg Stelling; Matthias Heinemann
Journal:  PLoS Comput Biol       Date:  2012-03-01       Impact factor: 4.475

10.  Identification of the kinetic mechanism of succinyl-CoA synthetase.

Authors:  Xin Li; Fan Wu; Daniel A Beard
Journal:  Biosci Rep       Date:  2013-01-18       Impact factor: 3.840

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