Regulators allow the use of computational (in silico) methods to provide reliable (eco)toxicological estimates for a range of regulatory schemes. Fera’s In Silico Predictive Toxicology (INSPECT) service uses Quantitative Structure Activity Relationships (QSAR), Read across using OECD Toolbox and Expert system models to provide statistically reliable extrapolation across a vast range of substances.
Working across a range of UK and global commercial clients and governments we deliver a range of (eco)toxicological endpoints for regulatory submissions, screening and prioritisation, or to identify potential toxicity concerns for products at an early stage of development.
If you are looking for reliable estimates for a wide range of (eco)toxicological endpoints where experimental data is not available, derived using a range of in silico techniques in a Weight of Evidence approach, all with a rapid turnaround, then look no further than INSPECT.
Feedback from our INSPECT customers
“We appreciate your ethics and the scientific justification with weight of evidence for the outcome of Derek Nexus® results.”
“We really appreciate you pulling out all the stops to carry out the study and produce the report at such short notice.”
Fera's Research Chemist, Jane Cotterill, is the science lead for INSPECT and responsible for the management of the team and delivering a high-quality service to a wide range of UK and overseas government and commercial clients.
