Literature DB >> 25799954

Molecular thermodynamics of metabolism: quantum thermochemical calculations for key metabolites.

N Hadadi1, M Ataman, V Hatzimanikatis, C Panayiotou.   

Abstract

The present work is the first of a series of papers aiming at a coherent and unified development of the thermodynamics of metabolism and the rationalization of feasibility analysis of metabolic pathways. The focus in this part is on high-level quantum chemical calculations of the thermochemical quantities of relatively heavy metabolites such as amino acids/oligopeptides, nucleosides, saccharides and their derivatives in the ideal gas state. The results of this study will be combined with the corresponding hydration/solvation results in subsequent parts of this work in order to derive the desired thermochemical quantities in aqueous solutions. The above metabolites exist in a vast conformational/isomerization space including rotational conformers, tautomers or anomers exhibiting often multiple or cooperative intramolecular hydrogen bonding. We examine the challenges posed by these features for the reliable estimation of thermochemical quantities. We discuss conformer search, conformer distribution and averaging processes. We further consider neutral metabolites as well as protonated and deprotonated metabolites. In addition to the traditional presentation of gas-phase acidities, basicities and proton affinities, we also examine heats and free energies of ionic species. We obtain simple linear relations between the thermochemical quantities of ions and the formation quantities of their neutral counterparts. Furthermore, we compare our calculations with reliable experimental measurements and predictive calculations from the literature, when available. Finally, we discuss the next steps and perspectives for this work.

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Year:  2015        PMID: 25799954     DOI: 10.1039/c4cp05825a

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  5 in total

1.  A Mixed Quantum Chemistry/Machine Learning Approach for the Fast and Accurate Prediction of Biochemical Redox Potentials and Its Large-Scale Application to 315 000 Redox Reactions.

Authors:  Adrian Jinich; Benjamin Sanchez-Lengeling; Haniu Ren; Rebecca Harman; Alán Aspuru-Guzik
Journal:  ACS Cent Sci       Date:  2019-06-07       Impact factor: 14.553

2.  Uncertainty reduction in biochemical kinetic models: Enforcing desired model properties.

Authors:  Ljubisa Miskovic; Jonas Béal; Michael Moret; Vassily Hatzimanikatis
Journal:  PLoS Comput Biol       Date:  2019-08-20       Impact factor: 4.475

3.  Quantum Mechanical Methods Predict Accurate Thermodynamics of Biochemical Reactions.

Authors:  Rajendra P Joshi; Andrew McNaughton; Dennis G Thomas; Christopher S Henry; Shane R Canon; Lee Ann McCue; Neeraj Kumar
Journal:  ACS Omega       Date:  2021-03-25

4.  redGEM: Systematic reduction and analysis of genome-scale metabolic reconstructions for development of consistent core metabolic models.

Authors:  Meric Ataman; Daniel F Hernandez Gardiol; Georgios Fengos; Vassily Hatzimanikatis
Journal:  PLoS Comput Biol       Date:  2017-07-20       Impact factor: 4.475

5.  Quantum chemistry reveals thermodynamic principles of redox biochemistry.

Authors:  Adrian Jinich; Avi Flamholz; Haniu Ren; Sung-Jin Kim; Benjamin Sanchez-Lengeling; Charles A R Cotton; Elad Noor; Alán Aspuru-Guzik; Arren Bar-Even
Journal:  PLoS Comput Biol       Date:  2018-10-24       Impact factor: 4.475

  5 in total

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