software for toxicology

Applications: chemical safety and risk assessment

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A unique cheminformatics platform to support the safety and risk assessment of chemical substances which provides expert-reviewed toxicity databases as well as a knowledgebase and workflows for MoA-based in silico predictions and read-across for a series of in vivo and in vitro human health and regulatory-relevant toxicity endpoints. Optionally, the RepDose database from Fraunhofer ITEM is available now

ChemTunes•ToxGPS®

Toxicity Database, Knowledgebase and Read-Across

 

ChemTunes offers an easy-to-use user interface to retrieve relevant information, combining chemistry and toxicity searches tailored to the needs of toxicologists working in the area of safety and risk assessment.

  • Save time retrieving existing toxicological data and information searching a database containing approximately 100,000 chemical compounds, over 32,000 toxicity studies and 70 endpoints, diverse regulatory use types: a single query to interrogate 22 inventories​

  • Build a interactive workflows based on your reasoning and review your work at any time adding new data at any point of your workflow

  • Store your reasoning and all your supporting evidences collected from multiple sources in a single platform​​

  • Bring a consistent and reasoned process to the justification of your hazard assessment combining all the evidences and the related uncertainties with a consistent and reproducible methodology ​

  • Share your work with your colleagues with a link

  • Rapidly produce reports

Key facts

 

  • Approximately 100,000 chemical compounds

  • Over 32,000 toxicity studies and 70 endpoints

  • Diverse chemical space and regulatory use types, including food-related substances, drugs, cosmetics, industrial chemicals and pesticides

 

ChemTunes database is now available with an optionally integrated version of the RepDose database from Fraunhofer ITEM.

 

 

ToxGPS® provides a reliable toxicity knowledgebase including workflows and predictions for a series of in vivo and in vitro human health and regulatory-relevant endpoints. The predictions are based on mechanistically-informed, probabilistic QSAR models and endpoint-specific structural knowledge (expert rules) which are combined to provide a weight-of-evidence prediction together with an estimate of the associated uncertainty. Nearest neighbors of the query compounds in the training sets are identified and linked to the experimental study data in the ChemTunes databases.

ToxGPS® predictions are also suited for the assessment of genotoxic impurities in drug products under the ICH M7 guideline.

 

ToxGPS® also features the ToxGPS Read-Across workflow for data gap filling by identifying structural, physicochemical and biological analogs from the ChemTunes databases. The system offers tools to line up diverse evidence sources, either experimental or in silico, and to combine them to obtain an overall outcome with estimated uncertainty. Users can interactively explore how the read-across outcome varies depending on which evidence sources are used and the reliability assigned to each 

References

  1. Cherkasov A, et al. QSAR modeling: where have you been? Where are you going to? J. Med. Chem. 2014, 57(12), 4977-5010.

  2. Leist M, Yang C, et al. Novel Technologies and an Overall Strategy to Allow Hazard Assessment and Risk Prediction of Chemicals, Cosmetics, and Drugs with Animal-Free Methods. Altex 2012, 29, 4/12, 373-388.

  3. Yang C, et al. Computational Toxicology Approaches at the US Food and Drug Administration. ATLA 2009, 37, 523-531.

  4. Rathman JF, et al. Uncertainty Estimation and Quantitative Combination-of-Evidence using Dempster-Shafer Theory. Comp. Tox. 2018, 6, 16-31.

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ToxNavigation provides sales and support in the UK and Ireland for software from

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©2018 by ToxNavigation Ltd. - Privacy

ToxNavigation Ltd. is a company registered in England and Wales. Registered number: 11114004. Registered office: Mole View, 158 Bridge Road, East Molesey, Surrey, KT8 9HW.