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The Citric Acid Cycle

The Citric Acid Cycle

The citric acid cycle, also known as the Krebs cycle or TCA cycle, consists of several energy-generating reactions that yield one ATP molecule, three NADH molecules, one FADH2 molecule, and two CO2 molecules.

The Citric Acid Cycle: Output

The Citric Acid Cycle: Output

The citric acid cycle is termed an amphibolic pathway as it operates both anabolically and catabolically. The cyclic reactions balance the flux of the substrates to provide an optimal concentration of NADH and ATP to the cell.
Regulation of Citric Acid Cycle
The citric acid cycle is regulated in several ways, including feedback inhibition, regulation of enzyme activities, and associated anaplerotic or cataplerotic pathways.
The primary substrate of the TCA cycle—acetyl CoA—is...

The Citric Acid Cycle: Overview

The Citric Acid Cycle: Overview

In aerobic organisms, the citric acid cycle is the second stage of cellular respiration wherein molecules derived from the breakdown of carbohydrates, proteins, and fats are oxidized into carbon dioxide and energy. This process is also known as the tricarboxylic acid (TCA) cycle as the first product of the cycle, citric acid, contains three carboxyl groups in its structure. Alternatively, this cycle is also referred to as the Krebs cycle, in honor of its discoverer Sir Hans Krebs.
The citric...

Products of the Citric Acid Cycle

Products of the Citric Acid Cycle

The cells of most organisms—including plants and animals—obtain usable energy through aerobic respiration, the oxygen-requiring version of cellular respiration. Aerobic respiration consists of four major stages: glycolysis, pyruvate oxidation, the citric acid cycle, and oxidative phosphorylation. The third major stage, the citric acid cycle, is also known as the Krebs cycle or tricarboxylic acid (TCA) cycle.

Efficiency of The Carnot Cycle

Efficiency of The Carnot Cycle

The hypothetical Carnot cycle consists of an ideal gas subjected to two isothermal and two adiabatic processes. Since the internal energy of an ideal gas depends only on its temperature, which is the same before and after the completion of the Carnot cycle, there is no change in its internal energy. Hence, using the first law of thermodynamics, the total heat exchanged by the ideal gas equals the total work done. Thus, we can quantify the efficiency of the Carnot cycle via the heat exchanged...

Cellular Respiration

Cellular Respiration

Cellular respiration is a crucial metabolic process through which cells obtain energy from organic substances, mainly glucose, to produce adenosine triphosphate (ATP). This process includes the oxidation of substrates and the transfer of electrons to a separate electron acceptor, facilitating ATP synthesis through a sequence of biochemical reactions.Glycolysis: The Initial StepGlycolysis is the first stage of cellular respiration, occurring in the cytoplasm of both prokaryotic and eukaryotic...

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Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging

Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging

Published on: December 30, 2016

Queueing theory model of Krebs cycle.

Sylwester Kloska¹, Krzysztof Pałczyński², Tomasz Marciniak²

¹Faculty of Medicine, Nicolaus Copernicus University Ludwik Rydygier Collegium Medicum, 85-067 Bydgoszcz, Poland.

Bioinformatics (Oxford, England)

|March 16, 2021

Summary

This summary is machine-generated.

This study introduces a queueing theory model for simulating cell metabolism, specifically the Krebs cycle. This computational approach aids drug development by reducing costs and animal testing.

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Area of Science:

Biochemistry
Computational Biology
Systems Biology

Background:

Cell metabolism is complex and difficult to model.
Investigational drug development is costly and time-consuming.
Existing models may not capture dynamic biochemical reactions effectively.

Purpose of the Study:

To develop a novel computational model of cell metabolism using queueing theory.
To simulate the Krebs cycle and track metabolite concentrations in real-time.
To validate the model's accuracy against experimental data for drug-induced effects.

Main Methods:

Application of queueing theory to model biochemical reactions.
Development of a Krebs cycle simulation.
In silico simulation of drug-induced enzyme inhibition.

Main Results:

A functional Krebs cycle model based on queueing theory was successfully developed.
The model accurately tracks real-time metabolite concentration changes.
Simulated drug effects on enzyme activity aligned with experimental data.

Conclusions:

Queueing theory offers a viable approach for simulating cellular metabolism.
This model can accelerate drug discovery and reduce the need for animal testing.
The developed model provides a foundation for comprehensive cell metabolism simulations.