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Updated: Aug 23, 2025
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Laboratory Scale Production and Purification of a Therapeutic Antibody
Published on: January 24, 2017
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A Mechanistic Site-Of-Action Model: A Tool for Informing Right Target, Right Compound, And Right Dose for Therapeutic
Georgi I Kapitanov1, Jeffrey R Chabot1, Jatin Narula1
1BioMedicine Design, Pfizer Worldwide R&D, Cambridge, MA, United States.
Frontiers in Bioinformatics
|October 28, 2022
Summary
Quantitative modeling guides drug discovery by assessing targets, compound properties, and optimal dosing. This study introduces a site-of-action modeling framework for monoclonal antibodies, aiding in candidate selection.
Area of Science:
- Pharmacometrics
- Quantitative Systems Pharmacology
- Biopharmaceutical Development
Background:
- Quantitative modeling is crucial in drug discovery and development.
- Modeling aids in target selection, compound property assessment, and dose determination.
Purpose of the Study:
- To present a site-of-action modeling framework.
- To apply this framework to monoclonal antibodies targeting soluble antigens.
- To guide decision-making in drug development.
Main Methods:
- Development of a site-of-action modeling framework.
- Parametrization and construction of the model.
- Application examples for monoclonal antibodies.
Main Results:
- The framework provides guidance on target validation.
- It aids in defining optimal compound properties.
- It supports dose selection for drug candidates.
Conclusions:
- The site-of-action modeling framework is a valuable tool in drug discovery.
- It offers insights into monoclonal antibody development against soluble targets.
- The approach aids in answering key questions for advancing drug candidates.
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