In silico prediction of toxicity

NGS 300X225-1

Service description

  • The toxicity of all chemicals can be predicted using numerical solutions based on deep learning/machine learning artificial intelligence technologies.
  • Tests such as neurotoxicity, nephrotoxicity, carcinogenic, mutagenic, endocrine disruptor, PBT, skin sensitizer, inhalation sensitizer can be conducted.

Materials to provide

  • The chemical structure of molecules in 2D with information on stereochemistry.

  • Further details on the project may be requested.
  • You will be able to exchange directly with the experts after filling in the form below.

Typical deliverables

  • Full analytical report (explanation of the method, results to provide a rationale for classifying compounds according to the toxicity models evaluated).
Capture d’écran 2020-10-16 à 10.57.43

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