Topological polar surface area: a useful descriptor in 2D-QSAR

Area of Science:

• Medicinal Chemistry
• Computational Chemistry
• Pharmacology

Background:

• Topological polar surface area (TPSA) offers a simplified method for assessing polarity.
• Traditional 2D quantitative structure-activity relationship (2D-QSAR) studies often rely on descriptors like ClogP and CMR.
• The need for 3D conformational analysis can be a limitation in drug design.

Purpose of the Study:

• To evaluate the utility of TPSA as a descriptor in 2D-QSAR.
• To demonstrate the applicability of TPSA across a diverse range of pharmacological activities.
• To identify the limitations of TPSA in 2D-QSAR analysis.

Main Methods:

• TPSA calculation using functional group contributions.
• Application of TPSA in 2D-QSAR models for 14 diverse datasets.
• Correlation analysis between TPSA and various biological activities.

Main Results:

• TPSA demonstrated utility across 14 diverse pharmacological datasets.
• Negative correlations were observed for anticancer alkaloids, MT1/MT2 agonists, MAO-B, and TNF-α inhibitors.
• Positive correlations were found for telomerase, PDE-5, GSK-3, DNA-PK, aromatase, malaria, trypanosomatids, and CB2 agonists.

Conclusions:

• TPSA is a valuable and broadly applicable descriptor for 2D-QSAR studies.
• TPSA simplifies QSAR modeling by eliminating the need for 3D structures.
• Understanding TPSA's correlations provides insights into structure-activity relationships for various targets.