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QSAR
Quantitative structure-activity relationships (QSAR) are a scientific approach to understanding the relationship between the chemical structure of a substance and its biological effect. Mathematical models are developed enabling to predict the toxicological or pharmacological properties of substances based on their molecular structure. QSAR models are essential to efficiently assess the safety and efficacy of new chemical substances and to fulfil regulatory requirements. They offer a cost-effective way of identifying potential risks at an early stage and minimising them in a targeted manner.
Our test portfolio for the following product groups:
Chemicals, agrochemicals, SVHC, biocides
Regulatory background
QSAR models enable the prediction of toxicological and physicochemical properties based on molecular structure – without animal testing.
They are recognised by ECHA (under REACH and BPR) and EFSA (for plant protection products) if they comply with the OECD validation principles:
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clearly defined endpoint
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comprehensible algorithm
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documented quality and application domain
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mechanistic or physicochemical explanation
Recognised tools include the OECD QSAR Toolbox, VEGA, ECOSAR and CASE Ultra.
Benefit from us through:
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Authority-compliant QSAR reports (ECHA/EFSA compatible)
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Rapid, animal-free assessment
Areas of application by endpoints
Physical and chemical properties:
- Log Kₒw, water solubility, vapour pressure
- Melting/boiling point, decomposition rate
Ecotoxicity and environmental behaviour:
- Prediction of acute and chronic effects on aquatic organisms from algae, daphnia and fish toxicity (ECOSAR, VEGA)
- Bioaccumulation (BCF models)
- Persistence/degradation (QSAR Toolbox, VEGA)
Skin and eye irritation/sensitisation:
- Skin sensitisation (OECD QSAR Toolbox)
- Irritation/corrosion (VEGA, QSAR Toolbox)
Genotoxicity and mutagenicity:
- Screening models for mutagenic potential VEGA (Ames, chromosomal aberration), QSAR Toolbox
Endocrine activity (screening):
- VEGA, QSAR Toolbox (ER/AR-Binding)
Pharmaceuticals
QSAR models are firmly established in drug development and are recognised by the EMA, FDA and in accordance with ICH guidelines (e.g. M7, S1B).
They support early risk assessment, drug optimisation and impurity evaluation – quickly, cost-effectively and without animal testing.
Recognised tools: Derek Nexus, Sarah Nexus, Leadscope, VEGA, OECD QSAR Toolbox, ADMET Predictor.
Toxicological endpoints:
Early safety profiling to minimise development risks:
- Mutagenicity (Ames test): Derek/Sarah Nexus, Leadscope (ICH M7)
- Cardiotoxicity (hERG): VEGA, ADMET Predictor
- Hepatotoxicity / DILI: VEGA, DILIrank
Impurities & metabolites:
- Mandatory application according to ICH M7: Assessment of potentially genotoxic impurities using two QSAR systems (rule-based + statistical).
Endocrine and systemic effects:
- Screening for hormonal or secondary toxicological effects (VEGA, OECD Toolbox).
Veterinary medicinal products
Phase II, Tier A:
- Quantitative structure-activity relationships (SAR)
Phase II, Tier B:
- Quantitative structure-activity relationships (SAR)

- + 49 30 843 13 661
- info@toxlicon.com

Your personal contact
- + 49 30 843 13 661
- info.hassmann@toxlicon.com