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Introduction to Metabolism01:30

Introduction to Metabolism

Metabolism encompasses all biochemical reactions in a living organism, facilitating both the breakdown and synthesis of biomolecules. These metabolic processes are categorized into catabolic and anabolic pathways, which operate in a coordinated manner to ensure energy balance and cellular function.Catabolic Pathways and Energy ReleaseCatabolic pathways involve the breakdown of complex macromolecules such as carbohydrates, lipids, and proteins into smaller structures like monosaccharides, fatty...
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Operon Model01:23

Operon Model

The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
Regulation of Metabolism01:19

Regulation of Metabolism

Cellular needs and conditions vary from cell to cell and change within individual cells over time. For example, the required enzymes and energetic demands of stomach cells are different from those of fat storage cells, skin cells, blood cells, and nerve cells. Furthermore, a digestive cell works much harder to process and break down nutrients during the time that closely follows a meal compared with many hours after a meal. As these cellular demands and conditions vary, so do the amounts and...
Overview of Metabolism01:40

Overview of Metabolism

Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
What is Metabolism?00:52

What is Metabolism?

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Related Experiment Video

Updated: Jul 5, 2026

Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors
08:33

Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors

Published on: July 28, 2023

On deducing causality in metabolic networks.

Chiara Bodei1, Andrea Bracciali, Davide Chiarugi

  • 1Dipartimento di Informatica, Università di Pisa, I-56127, Pisa, Italy. chiara@di.unipi.it

BMC Bioinformatics
|May 9, 2008
PubMed
Summary

This study models metabolic networks using computational logic to uncover causal relationships between molecules. The developed tool aids in silico experiments, validating findings with E. coli K12 metabolic data.

Area of Science:

  • Computational Biology
  • Systems Biology
  • Biochemistry

Background:

  • Metabolic networks are complex and understanding their causality is challenging.
  • Formal methods and computational logic offer approaches to study these networks.
  • Comprehending causal dependencies among molecules is a key problem.

Purpose of the Study:

  • To develop an abstract qualitative model for metabolic networks using formal methods and computational logic.
  • To determine possible causal dependencies within metabolic processes.
  • To create a user-friendly automated tool for in silico experiments and what-if analyses.

Main Methods:

  • Representing chemical reactions as logical implications.
  • Utilizing a Prolog implementation for computational analysis.

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Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
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Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Published on: January 26, 2012

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Last Updated: Jul 5, 2026

Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors
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Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors

Published on: July 28, 2023

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

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Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
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Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids

Published on: January 26, 2012

  • Developing a minimal notation for biochemical causality.

    • Main Results:

    • Successfully deduced causal chains of reactions from network descriptions and initial conditions.
    • Validated the approach using gene knock-out and essentiality data for Escherichia coli K12.
    • Demonstrated coherence between computational model predictions and wet-lab experimental data.

    Conclusions:

    • The developed approach provides an effective analysis toolkit for metabolic networks.
    • The computational counterpart supports in vitro experiment design by pruning unpromising research directions.
    • Formal logic offers a framework naturally aligned with human reasoning for biological network analysis.