Atomic solvation parameters applied to molecular dynamics of proteins in solution

Area of Science:

• Computational chemistry
• Biophysics
• Protein dynamics

Background:

• Accurate solvation energy functions are crucial for molecular simulations of proteins.
• Existing models may not fully capture the complex interactions between proteins and solvent.

Purpose of the Study:

• To develop and implement a novel solvation energy function for protein molecular simulations.
• To evaluate the function's impact on protein structure and dynamics.

Main Methods:

• Developed a solvation energy function based on atomic accessible surface areas and empirical solvation parameters.
• Integrated the function into the CHARMM molecular simulation program.
• Performed 110 ps molecular dynamics simulations on melittin (monomer and tetramer).

Main Results:

• The new energy term caused partial unfolding of the melittin monomer.
• The secondary structure of the melittin tetramer was maintained.
• Results align with experimental observations of melittin aggregation states.

Conclusions:

• The proposed solvation energy function is a valuable addition to molecular simulation tools.
• The function accurately models solvent effects on protein structure, differentiating between monomeric and oligomeric states.
• This approach enhances the predictive power of molecular dynamics in biophysical studies.