VirtualToxLab - a platform for estimating the toxic potential of drugs, chemicals and natural products

Vedani, Angelo and Dobler, Max and Smiesko, Martin. (2012) VirtualToxLab - a platform for estimating the toxic potential of drugs, chemicals and natural products. Toxicology and applied pharmacology, Vol. 261, H. 2. pp. 142-153.

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Official URL: http://edoc.unibas.ch/dok/A6083581

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The VirtualToxLab is an in silico technology for estimating the toxic potential (endocrine and metabolic disruption, some aspects of carcinogenicity and cardiotoxicity) of drugs, chemicals and natural products. The technology is based on an automated protocol that simulates and quantifies the binding of small molecules towards a series of proteins, known or suspected to trigger adverse effects. The toxic potential, a non-linear function ranging from 0.0 (none) to 1.0 (extreme), is derived from the individual binding affinities of a compound towards currently 16 target proteins: 10 nuclear receptors (androgen, estrogen α, estrogen β, glucocorticoid, liver X, mineralocorticoid, peroxisome proliferator-activated receptor γ, progesterone, thyroid α, and thyroid β), four members of the cytochrome P450 enzyme family (1A2, 2C9, 2D6, and 3A4), a cytosolic transcription factor (aryl hydrocarbon receptor) and a potassium ion channel (hERG). The interface to the technology allows building and uploading molecular structures, viewing and downloading results and, most importantly, rationalizing any prediction at the atomic level by interactively analyzing the binding mode of a compound with its target protein(s) in real-time 3D. The VirtualToxLab has been used to predict the toxic potential for over 2500 compounds: the results are posted on http://www.virtualtoxlab.org. The free platform - the OpenVirtualToxLab - is accessible (in client-server mode) over the Internet. It is free of charge for universities, governmental agencies, regulatory bodies and non-profit organizations.
Faculties and Departments:05 Faculty of Science > Departement Pharmazeutische Wissenschaften > Ehemalige Einheiten Pharmazie > Molecular Modeling (Vedani)
UniBasel Contributors:Vedani, Angelo and Smiesko, Martin
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Academic Press
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:24 May 2013 09:17
Deposited On:26 Apr 2013 07:00

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