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Temperature-Dependent Estimation of Gibbs Energies Using an Updated Group-Contribution Method.
Du, Bin; Zhang, Zhen; Grubner, Sharon; Yurkovich, James T; Palsson, Bernhard O; Zielinski, Daniel C.
Afiliação
  • Du B; Department of Bioengineering, University of California San Diego, La Jolla, California.
  • Zhang Z; Department of Bioengineering, University of California San Diego, La Jolla, California.
  • Grubner S; Department of Bioengineering, University of California San Diego, La Jolla, California.
  • Yurkovich JT; Department of Bioengineering, University of California San Diego, La Jolla, California.
  • Palsson BO; Department of Bioengineering, University of California San Diego, La Jolla, California.
  • Zielinski DC; Department of Bioengineering, University of California San Diego, La Jolla, California. Electronic address: dczielin@ucsd.edu.
Biophys J ; 114(11): 2691-2702, 2018 06 05.
Article em En | MEDLINE | ID: mdl-29874618
ABSTRACT
Reaction-equilibrium constants determine the metabolite concentrations necessary to drive flux through metabolic pathways. Group-contribution methods offer a way to estimate reaction-equilibrium constants at wide coverage across the metabolic network. Here, we present an updated group-contribution method with 1) additional curated thermodynamic data used in fitting and 2) capabilities to calculate equilibrium constants as a function of temperature. We first collected and curated aqueous thermodynamic data, including reaction-equilibrium constants, enthalpies of reaction, Gibbs free energies of formation, enthalpies of formation, entropy changes of formation of compounds, and proton- and metal-ion-binding constants. Next, we formulated the calculation of equilibrium constants as a function of temperature and calculated the standard entropy change of formation (ΔfS∘) using a model based on molecular properties. The median absolute error in estimating ΔfS∘ was 0.013 kJ/K/mol. We also estimated magnesium binding constants for 618 compounds using a linear regression model validated against measured data. We demonstrate the improved performance of the current method (8.17 kJ/mol in median absolute residual) over the current state-of-the-art method (11.47 kJ/mol) in estimating the 185 new reactions added in this work. The efforts here fill in gaps for thermodynamic calculations under various conditions, specifically different temperatures and metal-ion concentrations. These, to our knowledge, new capabilities empower the study of thermodynamic driving forces underlying the metabolic function of organisms living under diverse conditions.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Temperatura / Redes e Vias Metabólicas / Modelos Biológicos Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Temperatura / Redes e Vias Metabólicas / Modelos Biológicos Idioma: En Ano de publicação: 2018 Tipo de documento: Article