Improving the accuracy of predicting protein-ligand binding-free energy with semiempirical quantum chemistry charge

Future Med Chem. 2019 Feb;11(4):303-321. doi: 10.4155/fmc-2018-0207. Epub 2019 Feb 25.

Abstract

Aim: It is a challenge to predict binding-free energy (ΔG) accurately. Methodology/results: For accurate ΔG prediction, a new strategy combining solvated interaction energy (SIE) or molecular mechanics/generalized Born surface area (MM/GBSA) approach with the Coulson charge of both protein and ligand calculated by semiempirical quantum mechanics (SQM), named SIE-SQMPC or MM/GBSA-SQMPC approach, was developed and tested on 50 protein-ligand complexes. Both approaches achieved higher correlation (R2) between experimental and predicted ΔG than that with Amber-ff03 charge, even for ligands with highly different scaffolds. But, SIE-SQMPC is computationally much faster than MM/GBSA-SQMPC. Conclusion: SIE-SQMPC provided an effective alternative to predict ΔG of protein-ligand binding (R2 = 0.66-0.94 for SIE-AM1; R2 = 0.59-0.98 for SIE-PM7), which has the potential of high-throughput processing for molecular docking and drug design.

Keywords: atomic charge; binding-free energy; electrostatic polarization; semiempirical quantum mechanics; solvated interaction energy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Binding Sites
  • Drug Design
  • Ligands
  • Molecular Docking Simulation
  • Proteins / chemistry*
  • Quantum Theory*
  • Thermodynamics

Substances

  • Ligands
  • Proteins