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Simulation of interactions between nucleic acid bases by refined atom-atom potential functions
1Institute of Biological Physics, USSR Academy of Sciences, Moscow Region.
Journal of Biomolecular Structure & Dynamics
|February 1, 1986
Summary
Calculations reveal specific arrangements for nitrogenous bases in nucleic acids, identifying stable configurations for base pairing. These findings clarify the energetic landscape of base interactions, crucial for understanding DNA and RNA structure.
Area of Science:
- Structural Biology
- Computational Chemistry
- Biophysics
Background:
- Understanding the forces governing nitrogenous base interactions is fundamental to nucleic acid structure and function.
- Accurate modeling of these interactions requires precise potential energy functions.
Purpose of the Study:
- To calculate the interaction energy between nitrogenous bases as a function of their spatial arrangement.
- To propose refined atom-atom potential functions for modeling base interactions.
- To identify stable configurations of base pairs based on calculated interaction energies.
Main Methods:
- Development and application of refined atom-atom potential functions, including electrostatic, van der Waals (6th or 10th power), and repulsion (12th power) terms.
- Calculation of interaction energies for various relative positions of nitrogenous bases.
- Characterization of the potential energy surface near identified minima.
Main Results:
- Two main groups of energy minima were identified: coplanar arrangements with hydrogen bonding and stacked arrangements.
- 28 distinct energy minima correspond to coplanar base pairs stabilized by two or three hydrogen bonds (e.g., N-H...O, N-H...N).
- Calculated optimal base pair positions closely match experimentally observed configurations in nucleic acids and tRNA.
Conclusions:
- The refined potential functions accurately predict stable nitrogenous base pairing configurations.
- Identified minima provide a detailed energetic map for base interactions, consistent with experimental and quantum-mechanical data.
- These findings enhance our understanding of the structural basis of genetic information storage and transfer.