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Related Experiment Video

Updated: Jun 12, 2026

Biosynthesis of a Flavonol from a Flavanone by Establishing a One-pot Bienzymatic Cascade

Biosynthesis of a Flavonol from a Flavanone by Establishing a One-pot Bienzymatic Cascade

Published on: August 14, 2019

A systematic computational study on flavonoids.

Santiago Aparicio¹

¹Department of Chemistry, University of Burgos, 09001 Burgos, Spain; E-Mail: sapar@ubu.es ; Tel.: +34-947-258-062;

International Journal of Molecular Sciences

|June 19, 2010

Summary

This study computationally analyzed 17 flavone derivatives (flavonoids) to understand how hydroxyl groups influence their molecular structure and energy. The findings reveal key factors affecting flavonoid properties and intramolecular hydrogen bonds.

Keywords:

AIM DFT NBO flavonoids hydrogen bonding

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Flavonoid Content During the Growth and Floral Development of Calendula officinalis L.

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Biosynthesis of a Flavonol from a Flavanone by Establishing a One-pot Bienzymatic Cascade

Biosynthesis of a Flavonol from a Flavanone by Establishing a One-pot Bienzymatic Cascade

Published on: August 14, 2019

Flavonoid Content During the Growth and Floral Development of Calendula officinalis L.

Flavonoid Content During the Growth and Floral Development of Calendula officinalis L.

Published on: June 27, 2025

Area of Science:

Computational Chemistry
Molecular Modeling
Quantum Chemistry

Background:

Flavonoids are a diverse class of natural compounds with significant biological activities.
Understanding the structure-property relationships of flavonoids is crucial for drug design and materials science.
Computational methods offer a powerful approach to investigate molecular properties at an atomic level.

Purpose of the Study:

To systematically investigate the structural and energetic properties of 17 flavone derivatives in the gas phase.
To elucidate the impact of hydroxyl group number and position on molecular characteristics.
To analyze the role of intramolecular hydrogen bonds in determining flavonoid stability and conformation.

Main Methods:

Density Functional Theory (DFT) using the B3LYP/6-311++G** basis set for comprehensive electronic structure calculations.
Conformational analysis to identify stable structures and study torsional profiles.
Atoms in Molecules (AIM) and Natural Bond Orbital (NBO) methodologies for charge distribution and hydrogen bond analysis.
Full geometry optimization and dihedral scans to determine molecular shapes and ring positioning.

Main Results:

The study successfully characterized the gas-phase structural and energetic properties of 17 systematically selected flavone derivatives.
The number and placement of hydroxyl groups were found to significantly influence molecular properties and the strength of intramolecular hydrogen bonds.
Analysis of torsional profiles and charge distribution provided insights into the topology and strength of these hydrogen bonds.

Conclusions:

The computational study provides a detailed understanding of the molecular factors governing the properties of flavone derivatives.
The findings highlight the critical role of hydroxyl group substitution patterns and intramolecular hydrogen bonding in shaping flavonoid behavior.
This research offers valuable data for the rational design of novel flavonoid-based compounds with tailored properties.