Evidence map›Paper›PMID 27503495›Full record

ArticleJournal of computer-aided molecular design2017

Blinded predictions of host-guest standard free energies of binding in the SAMPL5 challenge.

Stefano Bosisio, Antonia S J S Mey, Julien Michel

Abstract read
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In one paragraph

Article in Journal of computer-aided molecular design, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Automated Adaptive Absolute Binding Free Energy Calculations.Journal of chemical theory and computation · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Overview of the SAMPL6 host-guest binding affinity prediction challenge.Journal of computer-aided molecular design · 2018
    Article
  11. Bind3P: Optimization of a Water Model Based on Host-Guest Binding Data.Journal of chemical theory and computation · 2018
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Overview of the SAMPL5 host-guest challenge: Are we doing better?Journal of computer-aided molecular design · 2017
    Review
  18. Article
  19. Blinded predictions of distribution coefficients in the SAMPL5 challenge.Journal of computer-aided molecular design · 2016
    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.

Stefano BosisioEaStCHEM School of Chemistry, University of Edinburgh, David Brewster Road, Edinburgh, EH9 3FJ, UK.
Antonia S J S MeyEaStCHEM School of Chemistry, University of Edinburgh, David Brewster Road, Edinburgh, EH9 3FJ, UK.
Julien MichelEaStCHEM School of Chemistry, University of Edinburgh, David Brewster Road, Edinburgh, EH9 3FJ, UK. mail@julienmichel.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of the SAMPL5 blinded challenge standard free energies of binding were predicted for a dataset of 22 small guest molecules and three different host molecules octa-acids (OAH and OAMe) and a cucurbituril (CBC). Three sets of predictions were submitted, each based on different variations of classical molecular dynamics alchemical free energy calculation protocols based on the double annihilation method. The first model (model A) yields a free energy of binding based on computed free energy changes in solvated and host-guest complex phases; the second (model B) adds long range dispersion corrections to the previous result; the third (model C) uses an additional standard state correction term to account for the use of distance restraints during the molecular dynamics simulations. Model C performs the best in terms of mean unsigned error for all guests (MUE [Formula: see text]-95 % confidence interval) for the whole data set and in particular for the octa-acid systems (MUE [Formula: see text]). The overall correlation with experimental data for all models is encouraging ([Formula: see text]). The correlation between experimental and computational free energy of binding ranks as one of the highest with respect to other entries in the challenge. Nonetheless the large MUE for the best performing model highlights systematic errors, and submissions from other groups fared better with respect to this metric.

Indexed as

LigandsMolecular Dynamics SimulationThermodynamicsCucurbit(n)urilsHydrophobic and Hydrophilic InteractionsMacrocyclic CompoundsMolecular ConformationMolecular StructureProtein BindingProteinsSolventsCucurbit(n)urilsLigandsMacrocyclic CompoundsProteinsSolventsBinding free energiesHost-guest systemsSAMPL5

Identifiers

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Registered trials

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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.