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

Correcting ligands, metabolites, and pathways.

Martin A Ott1, Gert Vriend

  • 1Centre for Molecular and Biomolecular Informatics, Nijmegen Centre for Molecular Life Sciences, Radboud University Nijmegen, Nijmegen, The Netherlands. m.ott@ncmls.ru.nl <m.ott@ncmls.ru.nl>

BMC Bioinformatics
|November 30, 2006
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

Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells.

iScience·2023
Same author

Entropy and Variability: A Second Opinion by Deep Learning.

Biomolecules·2022
Same author

Structural anomalies in a published NMR-derived structure of IRAK-M.

Journal of molecular graphics & modelling·2021
Same author

Motions around conserved helical weak spots facilitate GPCR activation.

Proteins·2021
Same author

Machine Learning Predicts Degree of Aromaticity from Structural Fingerprints.

Journal of chemical information and modeling·2020
Same author

The Future of Protein Secondary Structure Prediction Was Invented by Oleg Ptitsyn.

Biomolecules·2020

BioMeta enhances pathway databases by validating metabolite structures and reactions, improving chemical accuracy for bioinformatics and drug design. This database corrects errors, ensuring reliable data for research applications.

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Medicinal Chemistry

Background:

  • Precise chemical structure information is crucial for drug design, ligand docking, and systems biology.
  • Existing databases often lack chemical accuracy, treating structures as illustrations rather than data.
  • Inaccurate chemical data impedes progress in critical research areas.

Purpose of the Study:

  • To present BioMeta, a novel metabolite database.
  • To augment existing pathway databases with explicitly validated chemical structure and reaction information.
  • To improve the accuracy and completeness of chemical data for research.

Main Methods:

  • Data sourced from KEGG Ligand database.
  • Developed a chemical structure validation tool for assessing validity and stereochemical completeness.

Related Experiment Videos

  • Corrected 1468 structures and 55% of unbalanced reactions.
  • Implemented the database in PostgreSQL with a web interface.
  • Main Results:

    • Identified incorrect constitutions and incomplete/incorrect stereochemistry in existing data.
    • Successfully corrected and completed a significant number of metabolite structures.
    • Automated correction of a substantial portion of stoichiometrically incorrect reactions.
    • Established a validated metabolite database, BioMeta.

    Conclusions:

    • Metabolite structure and reaction validation is feasible and beneficial.
    • BioMeta provides corrected and validated data for improved research outcomes.
    • The database supports rational drug design, reaction searches, and pathway browsing.
    • BioMeta is freely available, enhancing biochemical research with reliable chemical information.