Literature DB >> 25240273

OpenVirtualToxLab--a platform for generating and exchanging in silico toxicity data.

Angelo Vedani1, Max Dobler2, Zhenquan Hu3, Martin Smieško3.   

Abstract

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 currently 16 proteins, known or suspected to trigger adverse effects: 10 nuclear receptors (androgen, estrogen α, estrogen β, glucocorticoid, liver X, mineralocorticoid, peroxisome proliferator-activated receptor γ, progesterone, thyroid α, thyroid β), four members of the cytochrome P450 enzyme family (1A2, 2C9, 2D6, 3A4), a cytosolic transcription factor (aryl hydrocarbon receptor) and a potassium ion channel (hERG). The toxic potential of a compound--its ability to trigger adverse effects--is derived from its computed binding affinities toward these very proteins: the computationally demanding simulations are executed in client-server model on a Linux cluster of the University of Basel. The graphical-user interface supports all computer platforms, allows building and uploading molecular structures, inspecting and downloading the results and, most important, 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. Access to the VirtualToxLab is available free of charge for universities, governmental agencies, regulatory bodies and non-profit organizations.
Copyright © 2014 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  3D simulations; In silico toxicology; Mechanistic interpretation; Open-access platform; Protein-mediated adverse effects

Mesh:

Substances:

Year:  2014        PMID: 25240273     DOI: 10.1016/j.toxlet.2014.09.004

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  16 in total

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