The mining minima algorithm for computing binding free energies has provided good correlations with experiment for a range of protein-ligand systems, along with enhanced computational throughput. It uses conformational search to discover the chief energy minima, computes the configurational integral in each energy well, and sums over minima to yield an overall free energy. Doing this for the bound and free states provides the change in free energy on binding. The latest VM2 implementation of mining minima is automated, uses GPU acceleration, and supports both empirical force fields and quantum mechanical methods. Recent advances, including steps toward accessing VM2 through the Molecular Operating Environment (MOE) graphical user interface, will be described.<br/><br/>Computationally intensive free energy methods based on molecular dynamics (MD) simulations with explicit solvent are also of high interest, but can become problematic when the protein’s binding site is buried within the protein. In such systems, changes in hydration of the buried ligand that ought to occur during alchemical changes or decoupling of the ligand may not, because it takes too long for the site to sample configurations open to bulk solvent. Adding large Monte Carlo translational water moves to traditional MD can overcome this problem, improving convergence and accuracy of relative binding free energy calculations. Recently, bottleneck steps in this hybrid MD/MD method have been ported to GPU, greatly accelerating the calculations.

Progress in protein-ligand binding free energy calculations

ACS Fall 2021

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.