ChemTunes is a unique cheminformatics platform and expert QC'ed database to store, manage, search and retrieve chemical substances along with their in vitro and in vivo toxicity, safety evaluation and metabolism data designed to facilitate and support the safety and risk assessment process for chemical substances.
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.
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 (more info)
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 source.
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. |
Key Features
The ChemTunes Toxicity Database provides reliable in vitro, in vivo toxicity and regulatory information.
Overview
- Endpoint-specific, comprehensive safety evaluation and risk assessment information
- Safety assessment including MoS, MoE, RfD, NOAEL, ADI, uncertainty factor, target site, critical effect, regulatory body, year
- Expert-assigned data reliability and quality scores
- Data mining capabilities to perform hypothesis-driven queries, e.g., combined search for chemical structure, toxicity endpoint and effect site
- Data location for ToxGPS read-across workflow
Retrieval Process
Regulatory Data Sources
- US EPA IRIS, EFSA, SCCS/SCCP/SCCNFP, US FDA, JECFA/WHO, NITE Japan, COSMOS and Munro database
Toxicological Data Sources
ToxGPS provides a reliable toxicity prediction system for a series of in vivo and in vitro human health and regulatory-relevant endpoints as well as workflows to support the safety and risk assessment of chemical compounds.
Available Prediction Endpoints
Overview
- QSAR outcomes by global and local mode-of-action (mechanistic) models
- Chemotype alerts (structure knowledge) including severity scores (odds ratios)
- Nearest neighbors of query compound including experimental study calls and link to ChemTunes Toxicity Database
- Weight of evidence for combined final outcome based on decision theory approach minimizing and assigning uncertainties of predictions
Data Sources
- US NTP, CPDB, US EPA ToxRefDB, US FDA, ILSI DevTox, EFSA, SCCS/SCCP/SCCNFP, ECETOC, HESS, Substance Registration database (ECHA) and scientific literature
Further Workflows and Features
- Read-across
- Chemotype profilers
- Pairwise comparison of compounds using different similarity metrics
- Skyline plots for property similarity evaluation
- TTC evaluation
- Metabolism prediction and prioritization (Liver BioPath)
User Interface
- Web-based user interface supporting standard web browsers
Screenshots
- ChemTunes database search and retrieval
Combined chemistry and toxicity search (hypothesis-driven search) |
Search result set (hit list) |
Toxicity study information |
Treatment groups and effects table |
- ToxGPS predictions
Prediction result with global and local models and structural (chemotype) alerts |
Prediction result with global and local models and nearest neighbors |
- Read-Across
Read-Across assessment table |
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- Further workflows and features
Chemotype profiler |
Compare compounds (pairwise) |
Skyline plots for property similarity assessment |
TTC evaluation |
System Requirements
- Linux (Ubuntu 14.04/16.04 LTS or RedHat 6/7)
- Note: Intel CPU required for ToxGPS
- At least 10 GB of HDD space and 8 GB of RAM
Additional Info
Downloadable PDFs
- ChemTunes∙ToxGPS® brochure
- ChemTunes Databases flyer
- ToxGPS® Prediction flyer
- ToxGPS® Read-Across flyer
Slide Show
- ChemTunes∙ToxGPS®
Evaluation
Please contact us preferentially by e-mail if you are interested in evaluating ChemTunes∙ToxGPS®.