As portfolios grow and new chemistries emerge, safety and registration teams must assess more substances and endpoints under increasingly strict regulations. They are expected to answer more regulatory questions, across more endpoints, with limited time and without always having in-house modelling expertise.
QLchemicals is a web-based platform for predicting properties of compounds belonging to the group of conventional chemicals, primarily organic molecules. The application enables prediction of physicochemical, environmental, and toxicological properties using validated QSAR models, without requiring advanced expertise in chemoinformatics or computational chemistry.
no advanced chemoinformatics skills needed
structured results supported by model information
with token-based payment - no subscription needed
6000+ compounds in the model’s domain
easy access - no need to download anything
models PFAS, POPs & ionic liquids and more
Review the model before you use it
Models are described in detail with downloadable QMRF (QSAR Model Reporting Format) documentation, making it easier to explain model-based evidence to regulators and stakeholders.
Draw your compound or paste SMILES and the platform does the rest. Make your prediction with just one click and QLchemicals will generate a structured report that you can use to support your safety documentation.
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