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Advancing understanding of molecular interactions: computational studies on DNA nucleobases and gold nanoparticles using density functional theory.
Advancing understanding of molecular interactions: computational studies on DNA nucleobases and gold nanoparticles using density functional theory.
- Source :
-
Journal of Mathematical Chemistry . Aug2024, p1-18. - Publication Year :
- 2024
-
Abstract
- Molecular interactions aid in our understanding of how proteins function and behave. As they can help us predict the biological functions of unknown proteins in living organisms in this work, DNA nucleobases are studied, which can assist us in characterizing protein complexes, cellular pathways, and functional modules. Density functional theory examines how different gold nanoparticles interact with DNA nucleobase monomers (DFT). At B3LYP, the 6-311-G basis set was used to optimize the molecular geometries of various nucleobases. At LANL2DZ as the basis set, molecular geometries of diverse gold nanoparticles are optimized. At standard pressure and temperature, binding energy, interaction energy, and Bandgap were estimated along with its IR and UV spectrum were studied. Our simulation results clearly show that the hydrogen bondings are intensified and more likely to occur as the size of the nucleobases and gold nanoparticles increases. Hydrogen bonding is also essential for the delivery of medications and the sequencing of genes in molecules. In our computational investigations, the interaction between different DNA nucleobases and gold nanoparticles is examined to find out how other nucleobases are affected by gold nanoparticles. The interaction between gold nanoparticles and diverse nucleobases is investigated to understand the behavior of nanoparticles with different nucleobases. The molecule composed of six gold atoms was discovered to be the most stable of all the optimized gold compounds. Our computational results can be explained by the polarization of gold molecules and their electronic energy. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02599791
- Database :
- Academic Search Index
- Journal :
- Journal of Mathematical Chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 178760031
- Full Text :
- https://doi.org/10.1007/s10910-024-01659-9