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Quantum chemistry reveals thermodynamic principles of redox biochemistry
- Source :
- PLoS Computational Biology, PLoS Computational Biology, Vol 14, Iss 10, p e1006471 (2018), PLoS Computational Biology, 14 (10)
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
Abstract
- Thermodynamics dictates the structure and function of metabolism. Redox reactions drive cellular energy and material flow. Hence, accurately quantifying the thermodynamics of redox reactions should reveal design principles that shape cellular metabolism. However, only few redox potentials have been measured, and mostly with inconsistent experimental setups. Here, we develop a quantum chemistry approach to calculate redox potentials of biochemical reactions and demonstrate our method predicts experimentally measured potentials with unparalleled accuracy. We then calculate the potentials of all redox pairs that can be generated from biochemically relevant compounds and highlight fundamental trends in redox biochemistry. We further address the question of why NAD/NADP are used as primary electron carriers, demonstrating how their physiological potential range fits the reactions of central metabolism and minimizes the concentration of reactive carbonyls. The use of quantum chemistry can revolutionize our understanding of biochemical phenomena by enabling fast and accurate calculation of thermodynamic values.<br />PLoS Computational Biology, 14 (10)<br />ISSN:1553-734X<br />ISSN:1553-7358
- Subjects :
- 0301 basic medicine
Carboxylic Acids
Design elements and principles
Electron
Biochemistry
01 natural sciences
Computational Chemistry
Electrochemistry
Biology (General)
Density Functional Theory
Primary (chemistry)
Ecology
Organic Compounds
Chemistry
Physics
Chemical Reactions
Enzymes
Structure and function
Biochemical Phenomena
Computational Theory and Mathematics
Modeling and Simulation
Physical Sciences
Thermodynamics
Density functional theory
Oxidoreductases
Oxidation-Reduction
Research Article
QH301-705.5
010402 general chemistry
Quantum chemistry
Redox
03 medical and health sciences
Cellular and Molecular Neuroscience
Oxidation
Genetics
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Quantum Mechanics
Organic Chemistry
Chemical Compounds
Biology and Life Sciences
Proteins
Quantum Chemistry
NAD
0104 chemical sciences
030104 developmental biology
Models, Chemical
Linear Models
Enzymology
Acids
NADP
Oxidation-Reduction Reactions
Subjects
Details
- ISSN :
- 15537358 and 1553734X
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- PLOS Computational Biology
- Accession number :
- edsair.doi.dedup.....9aa3d6f8fb5ff5cbb4295653d0449c32
- Full Text :
- https://doi.org/10.1371/journal.pcbi.1006471