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Genome-wide Mapping of Drug-DNA Interactions in Cells with COSMIC Crosslinking of Small Molecules to Isolate Chromatin
Published on: January 20, 2016
A computational study of the interaction between dopamine and DNA/RNA nucleosides
Katarína Skúpa1, Milan Melicherčík, Ján Urban
1Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, Slovakia, katarina.skupa@fmph.uniba.sk.
Protonated dopamine interacts with RNA and DNA nucleosides. The most stable complex formed with guanosine showed significant spectral changes, impacting dopamine and guanosine transitions.
Area of Science:
- Computational chemistry
- Molecular interactions
- Biophysics
Background:
- Dopamine is a crucial neurotransmitter.
- Nucleosides are fundamental building blocks of nucleic acids (RNA and DNA).
- Understanding interactions between small molecules and nucleic acids is vital in molecular biology and pharmacology.
Purpose of the Study:
- To investigate the interactions between protonated dopamine and neutral RNA and DNA nucleosides.
- To analyze the electronic and spectral properties of these complexes.
- To determine the most stable complex and its specific spectral modifications.
Main Methods:
- Density Functional Theory (DFT) calculations were employed.
- Simulations were performed in both vacuum and implicit water environments.
- Vertical absorption excitation energies were calculated for stable complexes.
Main Results:
- The most stable complex was identified between protonated dopamine and guanosine.
- Significant spectral changes were observed in the dopamine-guanosine complex.
- A notable reduction in the oscillator strength of dopamine's first transition was found.
- Guanosine's first transition exhibited a 0.2 eV redshift and reduced oscillator strength.
Conclusions:
- Protonated dopamine forms stable complexes with nucleosides, particularly guanosine.
- These interactions lead to measurable alterations in the electronic absorption spectra.
- The findings provide insights into potential molecular recognition mechanisms and spectral properties relevant to biological systems.
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