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Knowledge environments representing molecular entities for the virtual physiological human.

Martin Hofmann-Apitius1, Juliane Fluck, Laura Furlong

  • 1Bonn-Aachen International Center for Information Technology, University of Bonn, Dahlmannstrasse 2, 53113 Bonn, Germany. martin.hofmann-apitius@scai.fraunhofer.de

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|June 19, 2008
PubMed
Summary

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This summary is machine-generated.

We developed methods to create knowledge environments for the molecular scale of the Virtual Physiological Human (VPH). These environments integrate text mining and database information for disease-specific modeling.

Area of Science:

  • Computational biology
  • Systems biology
  • Bioinformatics

Background:

  • The Virtual Physiological Human (VPH) aims for multiscale physiological representation, from molecular to organ levels.
  • Modeling the VPH requires diverse approaches for different biological scales.
  • The molecular scale is crucial for understanding complex physiological processes.

Purpose of the Study:

  • To describe methods for generating knowledge environments for the molecular scale of the VPH.
  • To enable comprehensive modeling of molecular entities within the VPH framework.
  • To facilitate disease-specific computational biology research.

Main Methods:

  • Information extraction from scientific literature.
  • Integration of data from biomolecular databases.

Related Experiment Videos

  • Development of automated knowledge environment generation strategies.

    • Main Results:

    • Successfully generated knowledge environments representing molecular entities.
    • Introduced @neuLink, a prototype disease-specific knowledge environment.
    • Combined biomolecular, chemical, genetic, and medical information.

    Conclusions:

    • The developed methods enable the creation of valuable knowledge environments for VPH modeling.
    • @neuLink demonstrates the feasibility of automated, disease-specific knowledge generation.
    • These environments are essential for advancing multiscale human physiology research.