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SHR Neuro Cancer Cardio Lipid Metab Microb

Hofmann-Apitius, M; Fluck, J; Furlong, L; Fornes, O; Kolarik, C; Hanser, S; Boeker, M; Schulz, S; Sanz, F; Klinger, R; Mevissen, T; Gattermayer, T; Oliva, B; Friedrich, CM.
Knowledge environments representing molecular entities for the virtual physiological human.
Philos Transact A Math Phys Eng Sci. 2008; 366(1878):3091-3110 Doi: 10.1098/rsta.2008.0099 [OPEN ACCESS]
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Co-authors Med Uni Graz
Schulz Stefan
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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.
Find related publications in this database (using NLM MeSH Indexing)
Alleles -
Artificial Intelligence -
Computer Simulation -
Humans -
Knowledge Bases -
Metabolic Networks and Pathways -
Models, Biological -
Physiology -
Polymorphism, Single Nucleotide -
User-Computer Interface -

Find related publications in this database (Keywords)
virtual physiological human
data mining
information extraction
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