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· eADMET is an expert in the creation of customised computational models for the prediction of important ADME/Tox properties of small drug-like molecules.
· eADMET’s modular approach combines proprietary and selected external algorithms to inform the creation of customised prediction models (with integrated error estimation) for clients and partners from the pharmaceutical and biotechnology industry.
· When creating a customised prediction model for a client, eADMET incorporates the client’s own experimental data and then is able to readily integrate the resulting model into the client’s existing IT environment.
· eADMET’s prediction models are developed using the proprietary web-based OCHEM database of over 750,000 chemical structures linked to known physical and ADME/Tox characteristics. The company’s advanced integrative approach enables their customized models to predict values that are directly comparable to experimental results.
The high accuracy of our method was confirmed in multiple published studies with large pharmaceutical companies.
· eADMET’s product portfolio includes:
1. OCHEM - a public accessible reference system and database
2. Validated models for precise prediction of various ADME/Tox parameters
3. User-friendly customized model solutions for specific customer needs
· eADMET was set up by an international team of innovators and recognized scientists, with financial support from High-Tech Gründerfonds (HTGF), Bayern Kapital and the national Go-Bio Programme and is a spinout from Helmholtz Centre, Munich.
Legal information can be found by following the link to our website, www.eadmet.com