QSAR Lab’s research, development, and implementation activity focuses on developing a set of computer tools that enable a comprehensive assessment of the risks posed by new materials (including nanomaterials) to the natural environment and human health and life. Try the tools developed by our company.
Platform for Predicting Toxicity and Assessing the Safety of Advanced Materials
QLmaterials is a web-based platform for predicting the toxicity of advanced materials (IAM), including engineered nanomaterials (ENMs). It uses machine learning models built on curated experimental data to support early-stage safety assessment. The platform helps compare material variants, optimize experimental planning, and supports the Safe and Sustainable by Design (SSbD) approach.
✔ Toxicological endpoints relevant to human health ✔ Applicable to Innovative Advanced Materials (IAM), including ENMs ✔ Comparison of material variants and support for selecting safer alternatives ✔ Material definition based on key physicochemical properties ✔ Intuitive prediction workflow without requiring ML expertise ✔ Reports supporting safety documentation, compliant with QPRF and OECD standards
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