Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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...
Amino Acid Biosynthetic Pathways01:29

Amino Acid Biosynthetic Pathways

Amino acid biosynthesis is essential for cell growth, protein synthesis, and metabolic regulation. Cells generate essential and non-essential amino acids from metabolic intermediates to sustain vital biological functions. These intermediates originate from key metabolic pathways: glycolysis, the tricarboxylic acid (TCA) cycle, and the pentose phosphate pathway. Important precursors include α-ketoglutarate, pyruvate, oxaloacetate, phosphoenolpyruvate, and erythrose-4-phosphate, which provide...
What is Metabolism?00:52

What is Metabolism?

Overview
Respiration Pathways01:26

Respiration Pathways

Cellular respiration is a fundamental metabolic process that enables organisms to generate energy from organic molecules. One of its central pathways is the tricarboxylic acid (TCA) cycle, also known as the Krebs cycle, which plays a crucial role in energy production and biosynthetic processes.Conversion of Pyruvate to Acetyl-CoAThe pyruvate generated from glycolysis undergoes oxidative decarboxylation by the pyruvate dehydrogenase complex, producing acetyl-CoA, one molecule of NADH, and one...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

FOXM1-Specific TCR-Engineered T Cells Target Non-Small Cell Lung Cancer.

Cancer immunology research·2026
Same author

STEGG: Structural TCR-pMHC ensemble generator and gallery.

Journal of molecular biology·2026
Same author

STAG-LLM: Predicting TCR-pHLA binding with protein language models and computationally generated 3D structures.

Computational and structural biotechnology journal·2026
Same author

Germline pathogenic variation impacts somatic alterations and patient outcomes in pediatric central nervous system tumors.

Nature communications·2025
Same author

TCR-pMHC Binding Specificity Prediction From Structure Using Graph Neural Networks.

IEEE transactions on computational biology and bioinformatics·2025
Same author

DINC-ensemble: A web server for docking large ligands incrementally to an ensemble of receptor conformations.

Journal of molecular biology·2025
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026
Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026
Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026
Same journal

Primer Design through Submodular Function Estimation.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
07:26

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

Published on: January 26, 2012

Finding metabolic pathways using atom tracking.

Allison P Heath1, George N Bennett, Lydia E Kavraki

  • 1Department of Computer Science, Rice University, Houston, TX, USA.

Bioinformatics (Oxford, England)
|April 28, 2010
PubMed
Summary
This summary is machine-generated.

New algorithms automatically identify metabolic pathways by tracking atoms, improving accuracy and discovering novel routes across species. This computational approach aids metabolic engineering and network analysis.

More Related Videos

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

Related Experiment Videos

Last Updated: Jun 13, 2026

Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
07:26

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

Published on: January 26, 2012

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
12:47

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

Area of Science:

  • Biochemistry
  • Computational Biology
  • Systems Biology

Background:

  • Identifying metabolic pathways is crucial for metabolic engineering, network analysis, and reconstruction.
  • Manual pathway identification is time-consuming; computational tools are needed for large datasets.
  • Existing methods often generate unrealistic connections.

Purpose of the Study:

  • To develop computational algorithms for automatically identifying metabolic pathways.
  • To find novel or non-standard metabolic pathways, potentially spanning multiple species.
  • To improve the biological relevance and accuracy of identified pathways.

Main Methods:

  • Developed algorithms for finding linear and branched metabolic pathways.
  • Utilized atom tracking to conserve atoms through metabolic networks.
  • Analyzed pathways within large networks of compounds and reactions.

Main Results:

  • Algorithms successfully identify linear and branched metabolic pathways.
  • Atom tracking significantly reduces unrealistic connections compared to previous methods.
  • Demonstrated potential for discovering novel, biologically meaningful pathways, including cross-species routes.

Conclusions:

  • New atom-tracking algorithms provide an efficient and accurate method for metabolic pathway discovery.
  • The approach enhances computational tools for metabolic engineering and network analysis.
  • The software is available for academic use, facilitating further research.