Binding Selectivity Analysis from Alchemical Receptor Hopping and Swapping Free Energy Calculations

TL;DR

This paper introduces receptor hopping and swapping free energy protocols using the Alchemical Transfer Method to efficiently model ligand binding selectivity across different receptors, aiding drug discovery.

Contribution

It presents novel receptor hopping and swapping protocols that improve computational efficiency in binding selectivity analysis across diverse receptors.

Findings

Protocols agree with experimental data

Results are consistent with conventional free energy methods

Preliminary applications show potential in drug discovery

Abstract

We present receptor hopping and receptor swapping free energy estimation protocols based on the Alchemical Transfer Method (ATM) to model the binding selectivity of a set of ligands to two arbitrary receptors. The receptor hopping protocol, where a ligand is alchemically transferred from one receptor to another in one simulation, directly yields the ligand's binding selectivity free energy for the two receptors, which is the difference between the two individual binding free energies. In the receptor swapping protocol, the first ligand of a pair is transferred from one receptor to another while the second ligand is simultaneously transferred in the opposite direction. The receptor swapping free energy yields the differences in binding selectivity free energies of a set of ligands, which, when combined using a generalized DiffNet algorithm, yield the binding selectivity free energies of the ligands. We test these algorithms on host-guest systems and show that they yield results that agree with experimental data and are consistent with differences in absolute and relative binding free energies obtained by conventional methods. Preliminary applications to the selectivity analysis of molecular fragments binding to the trypsin and thrombin serine protease confirm the potential of the receptor swapping technology in structure-based drug discovery. The novel methodologies presented in this work are a first step toward streamlined and computationally efficient protocols for ligand selectivity optimization across protein receptors with potentially low sequence identity.