Introduction to predictive toxicology tools and methods

dc.contributor.authorSuter-Dick, Laura
dc.contributor.authorPfannkuch, Friedlieb
dc.contributor.editorPfannkuch, Friedlieb
dc.contributor.editorSuter-Dick, Laura
dc.date.accessioned2025-06-20T12:20:10Z
dc.date.issued2014-11
dc.description.abstractComputational tools are used in many life sciences research areas, including toxicity prediction. They take advantage of complex mathematical models to predict the effects caused by a given compound on an organism. In silico tools make use of information regarding chemical structures and the immense data legacy that allows inferring interactions between chemical structures, physicochemical properties, and biological processes. The omics technologies arose with the advent of advanced molecular biology techniques able to determine changes in the whole transcriptome, proteome, or metabolome. The integration of highly sensitive molecular biology technologies with the well established pathology assessment also provides a means to identify putative novel biomarkers. In vitro toxicology is not a new concept and the advantages of cell cultures are manifold, including the possibility of screening at low cost and the reduction in animal experimentation, supporting the 3Rs concept (refine, reduce, and replace animal experiments).
dc.identifier.isbn978-3-527-33608-1
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/51760
dc.language.isoen
dc.publisherWiley-VCH
dc.relation.ispartofPredictive Toxocology. From vision to reality
dc.relation.ispartofseriesMethods and principles in medicinal chemistry
dc.spatialWeinheim
dc.subject.ddc600 - Technik, Medizin, angewandte Wissenschaften
dc.titleIntroduction to predictive toxicology tools and methods
dc.type04A - Beitrag Sammelband
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeLectoring (ex ante)
fhnw.affiliation.hochschuleHochschule für Life Sciences FHNWde_CH
fhnw.affiliation.institutInstitut für Chemie und Bioanalytikde_CH
fhnw.openAccessCategoryClosed
fhnw.pagination1-10
fhnw.publicationStatePublished
fhnw.seriesNumber64
fhnw.strategicActionFieldFuture Health
relation.isAuthorOfPublication37292405-e311-4093-a2e7-9a72a2511114
relation.isAuthorOfPublication.latestForDiscovery37292405-e311-4093-a2e7-9a72a2511114
relation.isEditorOfPublication37292405-e311-4093-a2e7-9a72a2511114
relation.isEditorOfPublication.latestForDiscovery37292405-e311-4093-a2e7-9a72a2511114
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