Thin layer chromatography in drug discovery process.

Area of Science:

• Analytical Chemistry
• Medicinal Chemistry

Background:

• Lipophilicity is a key parameter in drug discovery.
• Thin Layer Chromatography (TLC) is a widely used separation technique.
• Quantitative Structure-Property Relationship (QSPR) and Quantitative Structure-Activity Relationship (QSAR) models are crucial for predicting molecular properties.

Purpose of the Study:

• To review the application of TLC for lipophilicity assessment.
• To present the principles of Quantitative Structure Retention Relationship (QSRR) for lipophilicity prediction.
• To overview the use of TLC in QSAR studies and bioautography for drug discovery.

Main Methods:

• Review of literature on TLC applications in lipophilicity determination.
• Explanation of QSRR methodologies using TLC retention data.
• Discussion of bioautography as a complementary technique.

Main Results:

• TLC is a popular and effective method for lipophilicity measurement.
• QSRR models can predict lipophilicity from TLC data.
• TLC-derived constants are valuable in QSAR studies.
• Bioautography aids in identifying bioactive compounds.

Conclusions:

• TLC is a versatile tool in drug discovery, particularly for lipophilicity assessment.
• Integration of TLC with QSRR and QSAR enhances drug design.
• Planar chromatography modes offer distinct advantages and limitations for drug development.