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Do electrostatic interactions make a difference in physics-based AutoDock4 scoring function?

Arslan R Shaimardanov1, Dmitry A Shulga1, Vladimir A Palyulin1

  • 1Department of Chemistry, Lomonosov Moscow State University, Moscow, Russian Federation.

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|April 25, 2024
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Summary
This summary is machine-generated.

AutoDock4 binding free energy (ΔGbind) predictions are sensitive to ligand charges. Surprisingly, using higher quality quantum mechanics (QM)-derived atomic charges did not improve AutoDock4

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Area of Science:

  • Computational chemistry
  • Structure-based drug design
  • Molecular modeling

Background:

  • AutoDock4 is a widely used physics-based scoring function for predicting binding free energy (ΔGbind).
  • Previous studies indicated that AutoDock4's prediction errors correlate with charged fragments in ligands.
  • The source of this discrepancy, potentially related to atomic charges, remained unclear.

Purpose of the Study:

  • To investigate the impact of high-quality atomic charges on AutoDock4's ΔGbind prediction accuracy.
  • To determine if Gasteiger charges contribute to AutoDock4's known deficiencies.
  • To explore the role of electrostatic and hydrogen bond terms in scoring function performance.

Main Methods:

  • Utilized quantum mechanics (QM)-derived atomic charges for molecular simulations.
  • Compared predictions using QM charges versus default Gasteiger charges in AutoDock4.
  • Performed statistical analysis to evaluate prediction accuracy improvements.

Main Results:

  • AutoDock4 showed surprising insensitivity to the type of atomic charges used.
  • Employing QM-derived atomic charges did not yield statistically significant improvements in ΔGbind predictions.
  • The study highlights limitations beyond the atomic charge model in AutoDock4.

Conclusions:

  • The accuracy of AutoDock4's ΔGbind predictions is not significantly enhanced by using high-quality QM-derived atomic charges.
  • The discrepancy in predictions involving charged ligands is likely due to factors other than the atomic charge model.
  • Further refinement of scoring functions may require addressing other energetic contributions.