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Avoiding physicochemical artefacts in early ADME-Tox experiments
1New Pharma R&D Solutions, Thermo Electron Corporation, 5344 John Lucas Drive, Burlington, Ontario L7L 6A6, Canada. robert.dewitte@thermo.com
Physicochemical properties like high lipophilicity and poor solubility can cause artifacts in high-throughput screening (HTS) and ADME-Tox studies. This review offers strategies to minimize these issues without slowing down experiments.
Area of Science:
- Drug discovery and development
- Pharmacokinetics and drug metabolism
- Biophysical chemistry
Background:
- Physicochemical properties significantly impact high-throughput screening (HTS) and ADME-Tox assessments.
- Artefacts such as high lipophilicity, poor solubility (aqueous and DMSO), aggregation, and non-specific binding can compromise experimental data.
- These issues can lead to misinterpretation of drug candidate efficacy and safety profiles.
Purpose of the Study:
- To review the impact of common physicochemical artefacts in HTS and ADME-Tox.
- To propose experimental strategies for mitigating these artefacts.
- To maintain the efficiency of experimental processes during artefact control.
Main Methods:
- Literature review focusing on physicochemical properties and their effects on HTS and ADME-Tox assays.
- Analysis of common artefacts including lipophilicity, solubility, aggregation, and protein/phospholipid binding.
- Identification and synthesis of experimental techniques to minimize artefact occurrence.
Main Results:
- High lipophilicity, low solubility, aggregation, and non-specific binding are identified as key confounding factors.
- These artefacts can distort results from individual assays and aggregate interpretations.
- Experimental strategies can effectively reduce the frequency and magnitude of these artefacts.
Conclusions:
- Careful control of physicochemical properties is crucial for reliable HTS and ADME-Tox data.
- Implementing suggested experimental strategies can improve data quality without sacrificing throughput.
- Minimizing artefacts ensures more accurate drug candidate assessment in early-stage development.
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