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Binding affinities of the farnesoid X receptor in the D3R Grand Challenge 2 estimated by free-energy perturbation and docking

Olsson, Martin A. LU ; García-Sosa, Alfonso T. and Ryde, Ulf LU orcid (2018) In Journal of Computer-Aided Molecular Design 32(1). p.211-224
Abstract

We have studied the binding of 102 ligands to the farnesoid X receptor within the D3R Grand Challenge 2016 blind-prediction competition. First, we employed docking with five different docking software and scoring functions. The selected docked poses gave an average root-mean-squared deviation of 4.2 Å. Consensus scoring gave decent results with a Kendall’s τ of 0.26 ± 0.06 and a Spearman’s ρ of 0.41 ± 0.08. For a subset of 33 ligands, we calculated relative binding free energies with free-energy perturbation. Five transformations between the ligands involved a change of the net charge and we implemented and benchmarked a semi-analytic correction (Rocklin et al., J Chem Phys 139:184103, 2013) for artifacts caused by the periodic boundary... (More)

We have studied the binding of 102 ligands to the farnesoid X receptor within the D3R Grand Challenge 2016 blind-prediction competition. First, we employed docking with five different docking software and scoring functions. The selected docked poses gave an average root-mean-squared deviation of 4.2 Å. Consensus scoring gave decent results with a Kendall’s τ of 0.26 ± 0.06 and a Spearman’s ρ of 0.41 ± 0.08. For a subset of 33 ligands, we calculated relative binding free energies with free-energy perturbation. Five transformations between the ligands involved a change of the net charge and we implemented and benchmarked a semi-analytic correction (Rocklin et al., J Chem Phys 139:184103, 2013) for artifacts caused by the periodic boundary conditions and Ewald summation. The results gave a mean absolute deviation of 7.5 kJ/mol compared to the experimental estimates and a correlation coefficient of R2 = 0.1. These results were among the four best in this competition out of 22 submissions. The charge corrections were significant (7–8 kJ/mol) and always improved the results. By employing 23 intermediate states in the free-energy perturbation, there was a proper overlap between all states and the precision was 0.1–0.7 kJ/mol. However, thermodynamic cycles indicate that the sampling was insufficient in some of the perturbations.

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author
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organization
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type
Contribution to journal
publication status
published
subject
keywords
Bennett acceptance ratio, Charge transformations, D3R Grand Challenge 2016, Docking, Drug design data resource, Free-energy perturbation, Ligand binding, Periodic boundary conditions, Quantum-polarised ligand docking
in
Journal of Computer-Aided Molecular Design
volume
32
issue
1
pages
211 - 224
publisher
Springer
external identifiers
  • scopus:85028805060
  • pmid:28879536
ISSN
0920-654X
DOI
10.1007/s10822-017-0056-z
language
English
LU publication?
yes
id
a0337515-8da8-4dfc-a5f0-250c751c24f0
date added to LUP
2017-09-26 10:06:44
date last changed
2024-03-31 17:11:09
@article{a0337515-8da8-4dfc-a5f0-250c751c24f0,
  abstract     = {{<p>We have studied the binding of 102 ligands to the farnesoid X receptor within the D3R Grand Challenge 2016 blind-prediction competition. First, we employed docking with five different docking software and scoring functions. The selected docked poses gave an average root-mean-squared deviation of 4.2 Å. Consensus scoring gave decent results with a Kendall’s τ of 0.26 ± 0.06 and a Spearman’s ρ of 0.41 ± 0.08. For a subset of 33 ligands, we calculated relative binding free energies with free-energy perturbation. Five transformations between the ligands involved a change of the net charge and we implemented and benchmarked a semi-analytic correction (Rocklin et al., J Chem Phys 139:184103, 2013) for artifacts caused by the periodic boundary conditions and Ewald summation. The results gave a mean absolute deviation of 7.5 kJ/mol compared to the experimental estimates and a correlation coefficient of R<sup>2</sup> = 0.1. These results were among the four best in this competition out of 22 submissions. The charge corrections were significant (7–8 kJ/mol) and always improved the results. By employing 23 intermediate states in the free-energy perturbation, there was a proper overlap between all states and the precision was 0.1–0.7 kJ/mol. However, thermodynamic cycles indicate that the sampling was insufficient in some of the perturbations.</p>}},
  author       = {{Olsson, Martin A. and García-Sosa, Alfonso T. and Ryde, Ulf}},
  issn         = {{0920-654X}},
  keywords     = {{Bennett acceptance ratio; Charge transformations; D3R Grand Challenge 2016; Docking; Drug design data resource; Free-energy perturbation; Ligand binding; Periodic boundary conditions; Quantum-polarised ligand docking}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{211--224}},
  publisher    = {{Springer}},
  series       = {{Journal of Computer-Aided Molecular Design}},
  title        = {{Binding affinities of the farnesoid X receptor in the D3R Grand Challenge 2 estimated by free-energy perturbation and docking}},
  url          = {{http://dx.doi.org/10.1007/s10822-017-0056-z}},
  doi          = {{10.1007/s10822-017-0056-z}},
  volume       = {{32}},
  year         = {{2018}},
}