Evidence map›Paper›PMID 28712038›Full record

ArticleJournal of computer-aided molecular design2017

Binding mode prediction and MD/MMPBSA-based free energy ranking for agonists of REV-ERBα/NCoR.

Yvonne Westermaier, Sergio Ruiz-Carmona, Isabelle Theret, Françoise Perron-Sierra, Guillaume Poissonnet, Catherine Dacquet, Jean A Boutin, Pierre Ducrot, Xavier Barril

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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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Time to target the circadian clock for drug discovery.Trends in biochemical sciences · 2022
    Review
  8. The role of REV-ERB in NASH.Acta pharmacologica Sinica · 2022
    Article
  9. Targeting Nuclear Receptors for TImmunometabolism · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Enhanced Biodegradation of Phthalic Acid Esters' Derivatives by Plasticizer-Degrading Bacteria (International journal of environmental research and public health · 2020
    Article
  15. 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

9 authors.

Yvonne WestermaierFacultat de Farmàcia & Institut de Biomedicina de la Universitat de Barcelona (IBUB), Av. Joan XXIII, s/n, 08028, Barcelona, Spain.
Sergio Ruiz-CarmonaFacultat de Farmàcia & Institut de Biomedicina de la Universitat de Barcelona (IBUB), Av. Joan XXIII, s/n, 08028, Barcelona, Spain.
Isabelle TheretPEX Biotechnologie, Chimie & Biologie, Institut de Recherches Servier, 125 chemin de Ronde, 78290, Croissy-sur-Seine, France.
Françoise Perron-SierraPEX Biotechnologie, Chimie & Biologie, Institut de Recherches Servier, 125 chemin de Ronde, 78290, Croissy-sur-Seine, France.
Guillaume PoissonnetPEX Biotechnologie, Chimie & Biologie, Institut de Recherches Servier, 125 chemin de Ronde, 78290, Croissy-sur-Seine, France.
Catherine DacquetPôle d'Innovation Thérapeutique Métabolisme, Institut de Recherches Servier, 3 rue de la République, 92150, Suresnes, France.
Jean A BoutinPEX Biotechnologie, Chimie & Biologie, Institut de Recherches Servier, 125 chemin de Ronde, 78290, Croissy-sur-Seine, France.
Pierre DucrotPEX Biotechnologie, Chimie & Biologie, Institut de Recherches Servier, 125 chemin de Ronde, 78290, Croissy-sur-Seine, France. pierre.ducrot@servier.com.ORCID http://orcid.org/0000-0002-9868-5962
Xavier BarrilFacultat de Farmàcia & Institut de Biomedicina de la Universitat de Barcelona (IBUB), Av. Joan XXIII, s/n, 08028, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The knowledge of the free energy of binding of small molecules to a macromolecular target is crucial in drug design as is the ability to predict the functional consequences of binding. We highlight how a molecular dynamics (MD)-based approach can be used to predict the free energy of small molecules, and to provide priorities for the synthesis and the validation via in vitro tests. Here, we study the dynamics and energetics of the nuclear receptor REV-ERBα with its co-repressor NCoR and 35 novel agonists. Our in silico approach combines molecular docking, molecular dynamics (MD), solvent-accessible surface area (SASA) and molecular mechanics poisson boltzmann surface area (MMPBSA) calculations. While docking yielded initial hints on the binding modes, their stability was assessed by MD. The SASA calculations revealed that the presence of the ligand led to a higher exposure of hydrophobic REV-ERB residues for NCoR recruitment. MMPBSA was very successful in ranking ligands by potency in a retrospective and prospective manner. Particularly, the prospective MMPBSA ranking-based validations for four compounds, three predicted to be active and one weakly active, were confirmed experimentally.

Indexed as

Binding SitesHEK293 CellsHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureNuclear Receptor Co-Repressor 1Nuclear Receptor Subfamily 1, Group D, Member 1Protein BindingProtein ConformationSolventsStructure-Activity RelationshipSurface PropertiesThermodynamicsLigandsNCOR1 protein, humanNuclear Receptor Co-Repressor 1Nuclear Receptor Subfamily 1, Group D, Member 1SolventsBinding energy predictionBinding mode predictionMMPBSAMolecular dynamicsREV-ERBα/NCoR agonists

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.