Exploring Epigenetic Marks by Analysis of Noncovalent Interactions.
Judith Millan1, Alberto Lesarri2, José A Fernández3
1Departamento de Química, Facultad de Ciencia y Tecnología, Universidad de La Rioja, Madre de Dios, 53, Logroño, 26006, Spain.
Epigenetic marks on histone H3K9 influence gene expression by altering DNA-protein interactions. Density functional theory calculations reveal acetylation and trimethylation decrease interactions, while other methylation states increase them.
Area of Science:
- Biochemistry
- Molecular Biology
- Computational Chemistry
Background:
- Epigenetic marks, chemical modifications on DNA and histones, regulate gene expression.
- Histone H3 lysine 9 (H3K9) modifications are crucial but their precise effects on gene activity remain unclear.
- Understanding these modifications is key to deciphering gene regulation complexity.
Purpose of the Study:
- To elucidate the specific impact of H3K9 epigenetic modifications on DNA-protein interactions.
- To investigate how different methylation and acetylation states of H3K9 affect intermolecular forces.
- To advance the application of quantum-mechanical methods in studying large biochemical systems.
Main Methods:
- Utilized density functional theory (DFT) calculations.
- Developed a computational model of a DNA segment and histone H3 tail amino acids.
- Simulated and analyzed intermolecular interactions under various H3K9 epigenetic modifications (acetylation, non-, mono-, di-, and trimethylation).
Main Results:
- Acetylation and trimethylation of H3K9 reduce DNA-peptide interactions.
- Non-, mono-, and dimethylation of H3K9 increase DNA-peptide interactions.
- Computational findings align with existing literature, correlating intermolecular forces with biological properties.
Conclusions:
- The study clarifies the distinct roles of H3K9 modifications in modulating DNA-protein interactions.
- DFT calculations provide molecular-level insights into epigenetic regulation.
- This work demonstrates the utility of quantum mechanics in studying complex biological systems.
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