Knowledge environments representing molecular entities for the virtual physiological human

Martin Hofmann-Apitius, Juliane Fluck, Laura Furlong, Oriol Fornes, Corinna Kolářik, Susanne Hanser, Martin Boeker, Stefan Schulz, Ferran Sanz, Roman Klinger, Theo Mevissen, Tobias Gattermayer, Baldo Oliva, Christoph M. Friedrich

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

In essence, the virtual physiological human (VPH) is a multiscale representation of human physiology spanning from the molecular level via cellular processes and multicellular organization of tissues to complex organ function. The different scales of the VPH deal with different entities, relationships and processes, and in consequence the models used to describe and simulate biological functions vary significantly. Here, we describe methods and strategies to generate knowledge environments representing molecular entities that can be used for modelling the molecular scale of the VPH. Our strategy to generate knowledge environments representing molecular entities is based on the combination of information extraction from scientific text and the integration of information from biomolecular databases. We introduce @neuLink, a first prototype of an automatically generated, disease-specific knowledge environment combining biomolecular, chemical, genetic and medical information. Finally, we provide a perspective for the future implementation and use of knowledge environments representing molecular entities for the VPH.

Original languageEnglish
Pages (from-to)3091-3110
Number of pages20
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume366
Issue number1878
DOIs
StatePublished - 13 Sep 2008
Externally publishedYes

Keywords

  • Data mining
  • Information extraction
  • Virtual physiological human

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