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 Experiment Videos

Metabolites and pathway flexibility.

Thomas Dandekar1, Steffen Schmidt

  • 1Dept. of Bioinformatics, Biocenter, Am Hubland, D-97074 Wuerzburg, Germany. dandekar@biozentrum.uni-wuerzburg.de

In Silico Biology
|June 24, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Recent advances and clinical relevance of microbiome dynamics in health and disease.

Gut microbes·2026
Same author

Diet and microbiome shape small-molecule cytokinin pools in mammals.

Gut microbes·2026
Same author

Integrated Multi-Tissue Transcriptomics Reveals Antagonistic Pleiotropy in Aging and Alzheimer's Disease.

Computational and structural biotechnology journal·2026
Same author

RNA motifs, RNA structure, and motif context analyzed by RNAanalyzer3.

Nucleic acids research·2026
Same author

DNAM-1 mediates NK-cell activation and host-pathogen interaction via direct binding to fungal cell wall proteases.

Communications biology·2026
Same author

Extraction and Analysis of Cytokinins from Mammalian Tissues by HPLC-HRMS.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Regulatory Effects of Cooperativity and Signal Profile on Adaptive Dynamics in Incoherent Feedforward Loop Networks.

In silico biology·2025
Same journal

scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data.

In silico biology·2023
Same journal

Modelling speciation: Problems and implications.

In silico biology·2022
Same journal

Where Do CABs Exist? Verification of a specific region containing concave Actin Bundles (CABs) in a 3-Dimensional confocal image.

In silico biology·2022
Same journal

Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases.

In silico biology·2022
Same journal

Multiscale modeling of tumor response to vascular endothelial growth factor (VEGF) inhibitor.

In silico biology·2022
See all related articles

Metabolite and enzyme flexibility drives evolutionary adaptation in pathogens. Frequently used metabolites and simultaneous reaction changes in enzyme superfamilies enhance parasite resistance, informing potential counter-strategies.

Area of Science:

  • Biochemistry and Molecular Biology
  • Evolutionary Biology
  • Systems Biology

Background:

  • Understanding metabolic and enzymatic flexibility is crucial for comprehending evolutionary adaptation.
  • Pathogen resistance mechanisms often involve complex molecular and pathway-level changes.

Purpose of the Study:

  • To investigate the flexibility of metabolites and enzymes across molecular, pathway, and systems levels.
  • To identify how metabolite and enzyme flexibility contributes to evolutionary adaptation and resistance in pathogens.

Main Methods:

  • Analysis of individual molecule and pathway-level flexibility.
  • Integration of data from a metabolite-enzyme database.
  • Examination of systems and network-level effects.

Related Experiment Videos

Main Results:

  • Frequently utilized metabolites promote evolutionary flexibility in specific enzyme superfamilies.
  • Simultaneous alterations in reactions and metabolites are observed within these flexible enzyme superfamilies.
  • These combined effects significantly contribute to resistance in parasites and pathogens.

Conclusions:

  • Metabolite and enzyme flexibility are key drivers of evolutionary adaptation and pathogen resistance.
  • Understanding these mechanisms can inform the development of novel counter-strategies against infectious diseases.