Systems Pharmacology

7 Savvy Ways to Reduce Quantitative Systems Pharmacology Models

Tom Snowden

Modeling and simulation has become an indispensable part of drug development. Historically, the type of modeling employed changes as a drug moves through the stages of drug development—from discovery to pre-clinical testing to clinical trials. At the early stages of drug discovery, we may use systems biology models to identify drug targets and possible compounds, […]

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Topics: Systems Pharmacology

Taming Complex Quantitative Systems Pharmacology Models with Model Reduction

Tom Snowden

Quantitative systems pharmacology (QSP) combines computational modeling and experimental data to examine the relationships between a drug, the biological system, and the disease process. This emerging discipline integrates quantitative drug data with knowledge of its mechanism of action. QSP models predict how drugs modify cellular networks in space and time and how they impact and […]

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Topics: Systems Pharmacology

Using Model Reduction to Bridge the QSP-Pharmacometrics Divide

Tom Snowden

Quantitative systems pharmacology (QSP) models are generally too large to be validated or fit in a traditional sense and they can become intractable to standard methods of analysis or even to the modeler’s own intuition. Model reduction can alleviate these issues of complexity by eliminating portions of a system that have minimal effect upon the […]

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Topics: Systems Pharmacology
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