Computational Studies of Molecular Interactions and Antioxidant Mechanisms

Computational chemistry has become indispensable for unraveling the fine details of how molecules interact and how antioxidant activity arises at the atomic level. By combining quantum-mechanical methods such as density functional theory with molecular dynamics and continuum solvation models, researchers can predict molecular geometries, electronic structures and reactive sites without recourse to extensive synthesis. Key insights have emerged into the role of intramolecular hydrogen bonds in stabilising conformations that favour radical scavenging, the importance of frontier molecular orbitals for electron-transfer processes and the influence of solvent on reaction pathways. Simulation of binding events through molecular docking and free-energy calculations further clarifies how small-molecule antioxidants engage biological targets. Advances in topological analyses, including quantum theory of atoms in molecules, enable quantification of non-covalent interactions that underpin both molecular recognition and redox mechanisms. Together, these approaches accelerate the identification of novel antioxidant scaffolds, inform the design of more potent derivatives and support the rational development of therapeutics and functional materials. The global significance spans human health, food preservation and environmental protection, demonstrating the power of in silico methods to guide experiments and to interpret complex kinetic and thermodynamic data within a unified framework.

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Recent work has explored how implicit and explicit solvent modelling influences the predicted reactivity of natural acylphloroglucinol derivatives. By combining continuum-solvation with explicit solvent clusters in a multilayer quantum-mechanical scheme, investigators have shown that solvent interactions can alter conformational preferences and hydrogen-bond energies, thereby modulating antioxidant potential and spectral properties in polar and non-polar media.

An analysis of euglobal isomers has employed density functional and post-Hartree–Fock methods to compare how the relative positioning of acyl groups affects electronic and hydrogen-bond characteristics. The study revealed that simple reversal of substituent positions can lead to significant shifts in frontier orbital energies, dipole moments and intramolecular hydrogen-bond strengths, with direct implications for free-radical scavenging efficiency.

A foundational theoretical investigation of a catechol-type natural product used density functional theory to elucidate the structural, spectroscopic and electronic features governing its potent antioxidant and enzyme-inhibitory activities. Conformational analysis, natural bond orbital evaluation and molecular docking against key enzymatic targets have provided a blueprint for understanding how catechol motifs stabilise radical intermediates and compete effectively with biological substrates.

Computational Studies of Molecular Interactions and Antioxidant Mechanisms publication trend

The graph below shows the total number of articles in computational studies of molecular interactions and antioxidant mechanisms across all publications each year (not limited to Nature Index journals).

Technical terms

Density Functional Theory (DFT): A quantum-mechanical approach for computing electronic structure based on electron density rather than wavefunction.

Intramolecular Hydrogen Bond (IHB): A non-covalent interaction within a molecule that stabilises specific conformations and influences reactivity.

Frontier Molecular Orbitals: The highest occupied and lowest unoccupied molecular orbitals (HOMO and LUMO) that dictate electron-transfer and excitation processes.

Quantum Theory of Atoms in Molecules (QTAIM): A topological method for analysing electron density to characterise bond critical points and non-covalent interactions.

Implicit Solvent Model: A computational representation of solvent as a continuous polarisable medium surrounding the solute.

ONIOM Multiscale Method: A layered computational technique combining high-level quantum mechanics with lower-level models to treat large systems efficiently.

References

1. Implicit and Explicit Solvent Effects on the Global Reactivity and the Density Topological Parameters of the Preferred Conformers of Caespitate. Computation (2024).
2. Comparison of the Molecular Properties of Euglobals Differing by the Mutual Positions of the Two R–C=O Groups (R = H and CH2CH(CH3)2): A Computational Study. Chemistry (2023).
3. Theoretical Investigation of the Structural, Spectroscopic, Electronic, and Pharmacological Properties of 4‐Nerolidylcathecol, an Important Bioactive Molecule. Journal of Chemistry (2019).