Our Modeling and Simulation group have extensive expertise in the use of mathematical modeling techniques for the characterization and understanding of physiological systems.
We specialize in physiologically based pharmacokinetic (PBPK) modeling and machine learning applications, including quantitative structure activity relationship (QSAR) modeling.
PBPK is a mathematical modeling technique for predicting the absorption, distribution, metabolism and excretion (ADME) of chemical substances in humans and other animal species. PBPK modeling is used in pharmaceutical research and development, and in risk assessment for cosmetics or general chemicals. Anatomical, physiological, biochemical and chemical information is incorporated to model complex ADME processes. Typically, PBPK models are multi-compartmental models with the compartments corresponding to organs or tissues, with interconnections to circulatory processes such as blood flow.
QSAR is a modeling technique for predicting the properties of a molecule based on quantitative representations (descriptors and/or fingerprints) of its chemical structure.
Cyprotex have applied their physiological modeling and machine learning expertise to build innovative modeling solutions for the prediction of pharmacokinetics.
Many of the projects we perform at Cyprotex are customized projects based on our partners' particular research needs. Our Modeling and Simulation team works closely with our clients to bring together our expertise in mathematical modeling with our customer’s project specific requirements.
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