English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Large scale relative protein ligand binding affinities using non-equilibrium alchemy.

MPS-Authors
/persons/resource/persons32617

Gapsys,  V.
Research Group of Computational Biomolecular Dynamics, MPI for biophysical chemistry, Max Planck Society;

/persons/resource/persons211470

Aldeghi,  M.
Research Group of Computational Biomolecular Dynamics, MPI for biophysical chemistry, Max Planck Society;

/persons/resource/persons14970

de Groot,  B. L.
Research Group of Computational Biomolecular Dynamics, MPI for biophysical chemistry, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

3194339.pdf
(Publisher version), 2MB

Supplementary Material (public)

3194339_Suppl.pdf
(Supplementary material), 3MB

Citation

Gapsys, V., Perez-Benito, L., Aldeghi, M., Seeliger, D., Van Vlijmen, H., Tresadern, G., et al. (2020). Large scale relative protein ligand binding affinities using non-equilibrium alchemy. Chemical Science, 11(4), 1140-1152. doi:10.1039/c9sc03754c.


Cite as: https://hdl.handle.net/21.11116/0000-0005-AD93-2
Abstract
Ligand binding affinity calculations based on molecular dynamics (MD) simulations and non-physical (alchemical) thermodynamic cycles have shown great promise for structure-based drug design. However, their broad uptake and impact is held back by the notoriously complex setup of the calculations. Only a few tools other than the free energy perturbation approach by Schrodinger Inc. (referred to as FEP+) currently enable end-to-end application. Here, we present for the first time an approach based on the open-source software pmx that allows to easily set up and run alchemical calculations for diverse sets of small molecules using the GROMACS MD engine. The method relies on theoretically rigorous non-equilibrium thermodynamic integration (TI) foundations, and its flexibility allows calculations with multiple force fields. In this study, results from the Amber and Charmm force fields were combined to yield a consensus outcome performing on par with the commercial FEP+ approach. A large dataset of 482 perturbations from 13 different protein-ligand datasets led to an average unsigned error (AUE) of 3.64 +/- 0.14 kJ mol(-1), equivalent to Schrodinger's FEP+ AUE of 3.66 +/- 0.14 kJ mol(-1). For the first time, a setup is presented for overall high precision and high accuracy relative protein-ligand alchemical free energy calculations based on open-source software.