Electron-density descriptors as predictors in quantitative structure--activity/property relationships and drug design

Area of Science:

• Computational Chemistry
• Medicinal Chemistry
• Drug Discovery

Background:

• Molecular similarity and transferability are key concepts in drug research.
• Electron density provides a fundamental basis for understanding molecular properties.
• The Quantum Theory of Atoms in Molecules (QTAIM) offers a framework for analyzing electron density.

Purpose of the Study:

• To review the application of electron density-based molecular descriptors in drug research.
• To introduce the Quantum Theory of Atoms in Molecules (QTAIM) and its relevance.
• To demonstrate the utility of QTAIM-derived descriptors in Quantitative Structure-Activity Relationships (QSAR) and Quantitative Structure-Property Relationships (QSPR) studies.

Main Methods:

• Topological analysis of molecular electron density distributions.
• Extraction of atomic and bond properties using QTAIM.
• Application of these properties in QSAR/QSPR model construction.
• Utilizing molecular electrostatic potential derived from electron density.

Main Results:

• Atomic and bond properties derived from QTAIM serve as effective descriptors for QSAR/QSPR models.
• QTAIM is applicable to electron densities from quantum-chemical calculations and X-ray diffraction.
• Molecular electrostatic potential combined with atomic properties can explain bioisostere similarity.

Conclusions:

• Electron density-based descriptors, particularly from QTAIM, are valuable tools in drug research.
• QTAIM provides a rigorous method for deriving meaningful molecular descriptors.
• These descriptors facilitate the development of robust predictive models for drug activity and properties.