Literature DB >> 18559317

Knowledge environments representing molecular entities for the virtual physiological human.

Martin Hofmann-Apitius1, Juliane Fluck, Laura Furlong, Oriol Fornes, Corinna Kolárik, Susanne Hanser, Martin Boeker, Stefan Schulz, Ferran Sanz, Roman Klinger, Theo Mevissen, Tobias Gattermayer, Baldo Oliva, Christoph M Friedrich.   

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.

Entities:  

Mesh:

Year:  2008        PMID: 18559317     DOI: 10.1098/rsta.2008.0099

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  9 in total

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5.  Neuroimaging Feature Terminology: A Controlled Terminology for the Annotation of Brain Imaging Features.

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6.  Biana: a software framework for compiling biological interactions and analyzing networks.

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7.  Identification of histone modifications in biomedical text for supporting epigenomic research.

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Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

8.  'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.

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  9 in total

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