Computational Modeling of Mitochondria to Understand the Dynamics of Oxidative Stress

Rashmi Kumar; Mohsin S Jafri

doi:10.1007/978-1-0716-2309-1_27

Computational Modeling of Mitochondria to Understand the Dynamics of Oxidative Stress

Methods Mol Biol. 2022:2497:363-422. doi: 10.1007/978-1-0716-2309-1_27.

Authors

Rashmi Kumar¹, Mohsin S Jafri^{2

3}

Affiliations

¹ School of Systems Biology, George Mason University, Fairfax, VA, USA.
² School of Systems Biology, George Mason University, Fairfax, VA, USA. sjafri@gmu.edu.
³ Center for Biomedical Engineering and Technology, University of Maryland School of Medicine, Baltimore, MD, USA. sjafri@gmu.edu.

Abstract

Mitochondria are complex organelles that use catabolic metabolism to produce ATP which is the critical energy source for cell function. Oxidative phosphorylation by the electron transport chain, which receives reducing equivalents (NADH and FADH₂) from the tricarboxylic acid cycle, also produces reactive oxygen species (ROS) as a by-product at complex I and III. ROS play a significant role in health and disease. In order to better understand this process, a computational model of mitochondrial energy metabolism and the production of ROS has been developed. The model demonstrates the process regulating ROS production and removal and how different energy substrates can affect ROS production.

Keywords: Electron transport; Mitochondria; Reactive oxygen species.

MeSH terms

Computer Simulation
Electron Transport
Mitochondria* / metabolism
Oxidative Phosphorylation
Oxidative Stress*
Reactive Oxygen Species / metabolism

Substances

Reactive Oxygen Species

Abstract

MeSH terms

Substances

Grants and funding