Introduction to predictive toxicology tools and methods
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Author (Corporation)
Publication date
11.2014
Typ of student thesis
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Type
04A - Book part
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Parent work
Predictive Toxocology. From vision to reality
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Series
Methods and principles in medicinal chemistry
Series number
64
Volume
Issue / Number
Pages / Duration
1-10
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Publisher / Publishing institution
Wiley-VCH
Place of publication / Event location
Weinheim
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Abstract
Computational 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).
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ISBN
978-3-527-33608-1
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Future Health
Publication status
Published
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Expert editing/editorial review
Open access category
Closed
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Citation
Suter-Dick, L., & Pfannkuch, F. (2014). Introduction to predictive toxicology tools and methods. In F. Pfannkuch & L. Suter-Dick (Eds.), Predictive Toxocology. From vision to reality (pp. 1–10). Wiley-VCH. https://irf.fhnw.ch/handle/11654/51760