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

BNDB - the Biochemical Network Database.

Jan Küntzer1, Christina Backes, Torsten Blum

  • 1Center for Bioinformatics, Saarland University, 66041 Saarbrücken, Germany. kuentzer@bioinf.uni-sb.de

BMC Bioinformatics
|October 4, 2007
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

Modeling hemorrhage control in the context of agent-based active shooter simulations.

Journal of emergency management (Weston, Mass.)·2026
Same author

Emergency preparedness planning for active shooter situations through higher-fidelity agent-based active shooter simulations: Framework for computational modeling of injury and blood loss.

Journal of emergency management (Weston, Mass.)·2026
Same author

How to predict effective drug combinations - moving beyond synergy scores.

iScience·2025
Same author

Machine Learning Accurately Predicts Muscle Invasion of Bladder Cancer Based on Three miRNAs.

Journal of cellular and molecular medicine·2025
Same author

Expanding the immune-related targetome of miR-155-5p by integrating time-resolved RNA patterns into miRNA target prediction.

RNA biology·2025
Same author

The impact of the tumor microenvironment on the survival of penile cancer patients.

Scientific reports·2024
Same journal

Covariance decomposition for distance based species tree estimation.

BMC bioinformatics·2026
Same journal

SNPio: a Python interface for population genomic data processing.

BMC bioinformatics·2026
Same journal

SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learning.

BMC bioinformatics·2026
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
See all related articles

Life scientists can now access and analyze diverse biological data through the Biochemical Network Database (BNDB). This integrated platform simplifies data retrieval and interpretation for complex systems biology research.

Area of Science:

  • Life Sciences
  • Systems Biology
  • Bioinformatics

Background:

  • High-throughput technologies generate vast amounts of life science data.
  • Data is stored in numerous, diverse databases, hindering integrated analysis.
  • A need exists for efficient systems to integrate, analyze, and interpret complex biological data.

Purpose of the Study:

  • To present the Biochemical Network Database (BNDB) as a solution for integrating diverse life science data.
  • To provide a unified platform for accessing and analyzing information from multiple biological databases.

Main Methods:

  • Developed BNDB, a relational database platform with semantic integration capabilities.
  • Utilized BioCore, a comprehensive and extensible object model for biochemical processes.

Related Experiment Videos

  • Integrated a Java-based viewer (BiNA) for data visualization and navigation.
  • Main Results:

    • BNDB offers unified access to various external data sources.
    • The BioCore model supports diverse biochemical processes and extensibility.
    • BiNA provides interactive visualization and navigation of integrated data.

    Conclusions:

    • BNDB facilitates simple, unified access to diverse biological data.
    • Integration with BN++ library enables data import, analysis, and visualization.
    • BNDB is freely accessible online for researchers.