truPK

In silico, or virtual, ADME (or, PK - PharmacoKinetics) prediction is a method that can be used to evaluate the ADME profile of a compound, even before it is synthesized, and thus to concentrate finite resources and energy on those few compounds most likely to succeed. The result can dramatically lower costs and reduce cycle time for pharmaceutical R&D.

Strand Genomics has developed five human PK models - these models are available for licensing as-is. Strand also provides consulting services in helping building predictive models customized to client requirements.

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Licensing of Models

:: Five models available for licensing

Plasma Protein Binding
Expressed as fraction of total drug in the
plasma of drug bound to the plasma proteins
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Bioavailability Expressed as a fraction of the total oral dose of a drug that reaches the plasma upon absorption in the gut & first pass metabolism
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Volume of Distribution
Expressed in L/Kg– It is a measure of the total distribution vol. available to a drug in the body
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Elimination Half-life Expressed in hours– It measures the half life of a drug observed in the plasma
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Rate of Absorption
Expressed in 1/hour– It measures the rate at which a drug is absorbed orally from the gut into the plasma
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Technology Consulting

:: Building tailor-made models customized to client requirements

Strand’s Predictive ADME tool can be tailored in for use in several ways. The standard option for any user is a model that is built on a general dataset of compounds. In such a situation, the training and test sets used to construct the model are chosen so that they contain several types and classes of drugs. Such models will be widely applicable for compound sets whose pharmacokinetic parameters vary over a large range of values. The user also has the option of selecting models that are trained with special classes of datasets. For example, drugs specific for a particular disease or mode of action such as antibiotics, NSAIDs, anti-neoplastic agents, etc can be selected. We offer the user the option of tailoring the models to represent constraints on the pharmacokinetic parameters. For example, a model tuned to identify all compounds that have half-lives less than twelve hours can be created for the user. For the latter two more specialized types of models, appropriate datasets from the drug library will be used in training and validation.

Strand provides consultancy services to build tailor-made models customized for your requirements. More >>