A comparison between two polarizability parameters in chemical--biological interactions

Area of Science:

• Computational chemistry
• Molecular modeling
• Medicinal chemistry

Background:

• Molecular polarizability is crucial for understanding chemical-biological interactions.
• Quantitative Structure-Activity Relationships (QSAR) are vital for drug discovery and chemical safety.
• Accurate estimation of molecular properties is essential for predictive modeling.

Purpose of the Study:

• To investigate the utility of the sum of valence electrons (NVE) as a computational method for estimating molecular polarizability.
• To establish a relationship between NVE and calculated polarizability.
• To compare NVE with calculated molar refractivity (CMR) in QSAR models for chemical-biological interactions.

Main Methods:

• Utilized NVE (sum of valence electrons) as a descriptor for molecular polarizability.
• Performed computational calculations to determine molecular polarizability.
• Developed and compared QSAR models using NVE and CMR as polarizability parameters.

Main Results:

• NVE demonstrated surprising utility in estimating molecular polarizability.
• A clear relationship was established between NVE and calculated polarizability.
• QSAR models incorporating NVE showed potential for predicting chemical-biological interactions.

Conclusions:

• NVE is a valuable and computationally efficient parameter for estimating molecular polarizability.
• NVE can be effectively used in QSAR for modeling chemical-biological interactions.
• Further research into NVE-based QSAR models is warranted.