New angle-dependent potential energy function for backbone-backbone hydrogen bond in protein-protein interactions

Area of Science:

• Computational chemistry
• Structural biology
• Biophysics

Background:

• Backbone-backbone hydrogen bonds (BBHBs) are crucial for protein-protein complex stability.
• Accurate modeling of BBHBs is essential for understanding protein interactions.

Purpose of the Study:

• To develop an accurate angle-dependent potential energy function for BBHBs.
• To optimize the potential energy function parameters using computational methods.

Main Methods:

• Density functional theory (DFT) calculations were employed.
• A genetic algorithm was used to optimize potential energy function parameters.
• Morse and Leonard-Jones 12-10 radial functions were evaluated.

Main Results:

• The proposed angle-dependent potential energy function demonstrated high accuracy in predicting binding energies.
• The Morse potential function was found to be more accurate than the Leonard-Jones 12-10 function.
• The new potential function showed good agreement with knowledge-based potentials.

Conclusions:

• The developed potential energy function provides a more accurate representation of BBHBs.
• This model can enhance the simulation of protein-protein interactions and complex formation.