Expert advice service for in silico toxicology

Computational toxicology is a rapidly developing discipline increasingly being adopted and encouraged by regulators. It offers lower cost and time compared to in vitro and in vivo methods

Keeping up to date is resources and time consuming ...

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Alternatives to testing on animals for the REACH Regulation
(Q)SAR, grouping and read-acros

ECHA says “… We want to encourage registrants to use alternative methods in the best possible way ... The registrants should consider their registration dossiers as “living documents” and regularly update them ” ...

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In Silico Data for Hazard and Safety Assessment 
of Cosmetic Ingredients

Animal testing for the safety assessment of cosmetic ingredients and products has been completely banned in the EU. Consequently the safety assessment of cosmetics requires new methods ...

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In silico assessment of mutagenicity for E&L and medical devices

Computational toxicology is applied to predict skin sensitisation and  bacterial
in vitro reverse mutagenicity (Ames test) using a combination of rules-based SAR, statistical QSAR and an expert judgement.

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Non-testing methods for Dietary Risk Assessment of Plant Protection Products and their Residues

The Guidance on the establishment of the residue definition for dietary risk assessment adopted by EFSA in 2016  describes a stepwise approach based on toxicological, metabolism and non-testing data ((Q)SAR, read-across and TTC ) ...

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In silico assessment of mutagenicity for drug impurities under ICH M7

Computational toxicology is applied to predict bacterial in vitro reverse mutagenicity (Ames test) under the ICH M7 regulations using a combination of rules-based SAR, statistical QSAR and an expert judgement.

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