Accurate and efficient computation
of protein–protein binding
free energy remains a grand challenge. In this study, we develop a
new strategy to achieve efficient calculation for total protein–protein
binding free energies with improved accuracy. The new method combines
the recently developed interaction entropy method for efficient computation
of entropic change together with the use of residue type-specific
dielectric constants in the framework of MM/GBSA to achieve optimal
result for protein–protein binding free energies. The new strategy
is shown to be computationally efficient and accurate than that using
standard MM/GBSA methods in which the entropic computation is performed
by the normal model approach and the protein interior is represented
by the standard dielectric constant (typically set to 1), both in
terms of accuracy and computational efficiency. Our study using the
new strategy on a set of randomly selected 20 protein–protein
binding systems produced an optimal dielectric constant of 2.7 for
charged residues and 1.1 for noncharged residues. Using this new strategy,
the mean absolute error in computed binding free energies for these
20 selected protein–protein systems is significantly reduced
by more than 3-fold while the computational cost is reduced by more
than 2 orders of magnitude, compared to the result using standard
MM/GBSA method with the normal mode approach. A similar improvement
in accuracy is confirmed for a test set consisting of 10 protein–protein
systems