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Obtaining QM/MM binding free energies in the SAMPL8 drugs of abuse challenge: indirect approaches.

Phillip S HudsonFélix AviatRubén Meana-PañedaLuke WarrensfordBenjamin C PollardSamarjeet PrasadMichael R JonesH Lee WoodcockBernard R Brooks
Published in: Journal of computer-aided molecular design (2022)
Accurately predicting free energy differences is essential in realizing the full potential of rational drug design. Unfortunately, high levels of accuracy often require computationally expensive QM/MM Hamiltonians. Fortuitously, the cost of employing QM/MM approaches in rigorous free energy simulation can be reduced through the use of the so-called "indirect" approach to QM/MM free energies, in which the need for QM/MM simulations is avoided via a QM/MM "correction" at the classical endpoints of interest. Herein, we focus on the computation of QM/MM binding free energies in the context of the SAMPL8 Drugs of Abuse host-guest challenge. Of the 5 QM/MM correction coupled with force-matching submissions, PM6-D3H4/MM ranked submission proved the best overall QM/MM entry, with an RMSE from experimental results of 2.43 kcal/mol (best in ranked submissions), a Pearson's correlation of 0.78 (second-best in ranked submissions), and a Kendall [Formula: see text] correlation of 0.52 (best in ranked submissions).
Keyphrases
  • density functional theory
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  • risk assessment
  • climate change
  • preterm infants
  • drug induced
  • human milk
  • virtual reality
  • monte carlo