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Published on: May 16, 2014
The road map to oral bioavailability: an industrial perspective
V Hayden Thomas1, Shobha Bhattachar, Linda Hitchingham
1Pfizer Global Research and Development, Department of Pharmaceutical Sciences, Ann Arbor, MI 48105, USA.
Optimizing oral drug bioavailability is crucial. A new roadmap guides assay selection to improve drug absorption and metabolism, reducing in vivo studies and saving resources.
Area of Science:
- Pharmaceutical Sciences
- Drug Discovery
- Biotechnology
Background:
- Optimizing oral bioavailability presents a significant challenge in pharmaceutical and biotechnology industries.
- Increased drug candidate numbers from combinatorial chemistry and a trend towards lipophilic compounds exacerbate solubility issues.
- There is a growing need for efficient in vitro and in silico tools to reduce reliance on in vivo studies.
Purpose of the Study:
- To propose a team-based discussion tool, a 'road map,' to guide the selection of profiling assays for optimizing oral bioavailability.
- To provide a systematic approach for drug discovery teams to address challenges in oral drug delivery.
- To facilitate cross-disciplinary discussions and streamline experimental strategies.
Main Methods:
- Development of a 'road map' framework categorizing factors affecting oral bioavailability into absorption and metabolism.
- Integration of in vitro and in silico tools into the drug discovery workflow.
- Facilitation of team-based discussions to guide assay selection.
Main Results:
- The proposed road map systematically addresses absorption and metabolism factors influencing oral bioavailability.
- It provides a structured approach for selecting appropriate profiling assays.
- The tool aims to improve efficiency and reduce resource utilization in drug discovery.
Conclusions:
- The developed road map serves as a valuable interface for cross-disciplinary collaboration in drug discovery.
- It offers a systematic strategy to achieve acceptable oral bioavailability with minimal resources and time.
- This approach supports the efficient progression of drug candidates through the discovery pipeline.
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