In this episode I am joined by Paul Thomas, founder of Kreatis, a company that specialises in developing in silico tools for predicting chemical properties and hazard endpoints. Join us for an interesting conversation covering: Paul’s early career and experiences with building a companyQuantitative structure activity relationship (QSAR) models for predicting chemical propertiesThe role of QSARs for reducing animal testingThe role of QSARs in the new approach methodologies (NAMs) discussionThe new QSAR Assessment Framework (QAF) and validating predictions for regulatory usePublicly available chemical databases and their importance for QSAR developmentInnovation in QSARs, and balancing protecting commercial interests with the need for transparencyMore information about Kreatis: KREATiS - Experts in Computational (Eco)ToxicologyThe QSAR Assessment Framework: (Q)SAR Assessment Framework: Guidance for the regulatory assessment of (Quantitative) Structure Activity Relationship models and predictions | OECDCorrection: In this episode, Paul and I discussed the concept of FAIR data, in which I identify the ‘F’ term as ‘freely available’. The correct term is 'findable' (FAIR stands for Findable, Accessible, Interoperable and Reusable). More information on the FAIR principles can be found here: https://www.go-fair.org/fair-principles/Visit my website for more content and insights www.embarkchemical.com

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