TY - JOUR
T1 - Knowledge environments representing molecular entities for the virtual physiological human
AU - Hofmann-Apitius, Martin
AU - Fluck, Juliane
AU - Furlong, Laura
AU - Fornes, Oriol
AU - Kolářik, Corinna
AU - Hanser, Susanne
AU - Boeker, Martin
AU - Schulz, Stefan
AU - Sanz, Ferran
AU - Klinger, Roman
AU - Mevissen, Theo
AU - Gattermayer, Tobias
AU - Oliva, Baldo
AU - Friedrich, Christoph M.
PY - 2008/9/13
Y1 - 2008/9/13
N2 - 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.
AB - 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.
KW - Data mining
KW - Information extraction
KW - Virtual physiological human
UR - http://www.scopus.com/inward/record.url?scp=48349143152&partnerID=8YFLogxK
U2 - 10.1098/rsta.2008.0099
DO - 10.1098/rsta.2008.0099
M3 - Article
C2 - 18559317
AN - SCOPUS:48349143152
SN - 1364-503X
VL - 366
SP - 3091
EP - 3110
JO - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
IS - 1878
ER -