Chemical reactivity and binding interactions in ribonucleic acid-peptide complexes

Area of Science:

• Computational chemistry
• Biophysics
• Molecular modeling

Background:

• RNA-peptide interactions are crucial in biological systems.
• Understanding these interactions aids in drug design and molecular biology.
• Previous experimental studies provide a basis for computational investigation.

Purpose of the Study:

• To computationally analyze covalent and noncovalent binding in RNA-peptide complexes.
• To investigate the reactivity and stability of protonated peptides interacting with RNA.
• To compare the strength of different interaction types.

Main Methods:

• Density Functional Theory (DFT) for electronic structure and reactivity.
• Chemical reactivity theory using global descriptors (hardness, chemical potential).
• Molecular docking (AutoDock, PatchDock) for binding and structural analysis.

Main Results:

• Protonated peptides with lower hardness values exhibited higher reactivity.
• Larger Highest Occupied Molecular Orbital (HOMO)-Lowest Unoccupied Molecular Orbital (LUMO) gaps indicated greater peptide stability.
• Noncovalent interactions were stronger than covalent interactions for specific RNA-peptide complexes, influenced by proton transfer dynamics.

Conclusions:

• Computational methods effectively elucidate RNA-peptide binding mechanisms.
• Peptide stability and reactivity are linked to electronic properties and structural conformations.
• Proton transfer plays a key role in the binding energetics, modulated by hydrogen bonding.