Modeling aqueous solvation with semi-explicit assembly.

Area of Science:

• Computational chemistry
• Physical chemistry
• Molecular modeling

Background:

• Implicit and explicit solvent models have limitations in accuracy and speed.
• Accurate solvation free energy calculations are crucial for predicting molecular behavior.

Purpose of the Study:

• To introduce and validate the semi-explicit assembly (SEA) computational solvation model.
• To demonstrate SEA's ability to balance accuracy and computational efficiency.

Main Methods:

• Developed SEA by precomputing solvation shell properties from an explicit-water model.
• Assembled solute solvation shells by combining precomputed spherical shells.
• Validated SEA against explicit simulations and Poisson-Boltzmann calculations.

Main Results:

• SEA accurately predicts solvation free energies, comparable to explicit simulations.
• SEA accounts for local solute curvature and nonadditive effects.
• SEA is approximately 100-fold faster than Poisson-Boltzmann calculations.

Conclusions:

• SEA provides a computationally efficient and accurate method for solvation modeling.
• SEA overcomes limitations of traditional implicit and explicit solvent models.
• SEA is a promising tool for diverse applications in computational chemistry.