Evidence map›Paper›PMID 28879536›Full record

ArticleJournal of computer-aided molecular design2018

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

Martin A Olsson, Alfonso T García-Sosa, Ulf Ryde

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Uncertainty Quantification in Alchemical Free Energy Methods.Journal of chemical theory and computation · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Martin A OlssonDepartment of Theoretical Chemistry, Chemical Centre, Lund University, P. O. Box 124, 221 00, Lund, Sweden.
Alfonso T García-SosaInstitute of Chemistry, University of Tartu, Ravila 14a, 50411, Tartu, Estonia.
Ulf RydeDepartment of Theoretical Chemistry, Chemical Centre, Lund University, P. O. Box 124, 221 00, Lund, Sweden. Ulf.Ryde@teokem.lu.se.ORCID 0000-0001-7653-8489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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

Indexed as

Molecular Docking SimulationThermodynamicsBinding SitesCrystallography, X-RayDrug DesignDrug DiscoveryHumansLigandsProtein BindingProtein ConformationReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearSoftwareLigandsReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearBennett acceptance ratioCharge transformationsD3R Grand Challenge 2016DockingDrug design data resourceFree-energy perturbationLigand bindingPeriodic boundary conditionsQuantum-polarised ligand docking

Identifiers

PMID28879536
PMCPMC5767205

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.