
Identifying ligands that bind a target protein with high affinity is central to most drug discovery projects. Existing computational approaches to predict protein-ligand binding, however, face a stark mismatch in throughput and accuracy. Free energy perturbation (FEP) methods, for example, offer improved accuracy but can only process a small number of ligands.
VM2 is a binding free energy prediction software that offers both accuracy and speed. Built on a mining‑minima, physics‑based framework, VM2 estimates protein–ligand binding free energies with accuracy approaching that of FEP but with much shorter calculation times.

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