A density functional study of flavonoid compounds with anti-HIV activity

Area of Science:

• Computational chemistry
• Medicinal chemistry
• Molecular modeling

Background:

• Flavonoids are a class of compounds with demonstrated anti-HIV activity.
• Understanding the structure-activity relationship is crucial for developing novel antiviral drugs.
• Predictive modeling can accelerate drug discovery by identifying promising candidates.

Purpose of the Study:

• To investigate the correlation between molecular properties and anti-HIV activity of 26 flavonoid compounds.
• To develop a predictive model for anti-HIV activity and toxicity based on quantum chemical calculations.
• To identify key molecular descriptors influencing the biological activity and potential toxicity of flavonoids.

Main Methods:

• Density Functional Theory (DFT) with the B3LYP functional and 6-31G* basis set was used for quantum chemical calculations.
• Molecular properties such as hydrophobicity (ClogP), electronegativity (chi), and atomic charges were computed.
• Multiple linear regression (MLR) was employed to establish correlations between molecular properties and biological activity/toxicity.

Main Results:

• A statistically significant and predictive model was developed, correlating anti-HIV activity with molecular hydrophobicity (ClogP), electronegativity (chi), and charges on specific atoms.
• Toxicity was found to correlate with electronic affinities (EA), ClogP, and the charge on atom 8.
• The study identified key molecular descriptors that influence both the efficacy and potential adverse effects of these flavonoids.

Conclusions:

• Molecular hydrophobicity, electronegativity, and atomic charges are critical determinants of anti-HIV activity in flavonoids.
• Electronic affinities and hydrophobicity are important factors in predicting the toxicity of these compounds.
• The developed computational model provides a valuable tool for the rational design and optimization of novel anti-HIV flavonoid agents.