Evidence map›Paper›PMID 24471705›Full record

ArticleJournal of chemical information and modeling2014

Assessing hERG pore models as templates for drug docking using published experimental constraints: the inactivated state in the context of drug block.

Christopher E Dempsey, Dominic Wright, Charlotte K Colenso, Richard B Sessions, Jules C Hancox

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

31 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Structure-Based Prediction of hERG-Related Cardiotoxicity: A Benchmark Study.Journal of chemical information and modeling · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. An Update on the Structure of hERG.Frontiers in pharmacology · 2019
    Review
  16. Structural implications of hERG KThe Journal of biological chemistry · 2018
    Article
  17. Article
  18. Article
  19. A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins.Journal of chemical theory and computation · 2017
    Article
  20. HumanFrontiers in physiology · 2017
    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

5 authors.

Christopher E DempseySchool of Biochemistry, Medical Sciences Building, University of Bristol , University Walk, Bristol BS8 1TD, U.K.
Dominic Wright
Charlotte K Colenso
Richard B Sessions
Jules C Hancox

Funding

Biotechnology and Biological Sciences Research CouncilBritish Heart Foundation PG 06/042British Heart Foundation PG 10/017British Heart Foundation PG/10/017/28239British Heart Foundation PG 12/69British Heart Foundation PG/12/69/29784
6 · The paper itself

Abstract

Many structurally and therapeutically diverse drugs interact with the human heart K+ channel hERG by binding within the K+ permeation pathway of the open channel, leading to drug-induced 'long QT syndrome'. Drug binding to hERG is often stabilized by inactivation gating. In the absence of a crystal structure, hERG pore homology models have been used to characterize drug interactions. Here we assess potentially inactivated states of the bacterial K+ channel, KcsA, as templates for inactivated state hERG pore models in the context of drug binding using computational docking. Although Flexidock and GOLD docking produced low energy score poses in the models tested, each method selected a MthK K+ channel-based model over models based on the putative inactivated state KcsA structures for each of the 9 drugs tested. The variety of docking poses found indicates that an optimal arrangement for drug binding of aromatic side chains in the hERG pore can be achieved in several different configurations. This plasticity of the drug "binding site" is likely to be a feature of the hERG inactivated state. The results demonstrate that experimental data on specific drug interactions can be used as structural constraints to assess and refine hERG homology models.

Indexed as

Molecular Docking SimulationAmino Acid SequenceEther-A-Go-Go Potassium ChannelsHaloperidolHumansMolecular Sequence DataPharmaceutical PreparationsPorosityPotassium Channel BlockersProtein ConformationQuaternary Ammonium CompoundsSequence Homology, Amino AcidEther-A-Go-Go Potassium ChannelsHaloperidolPharmaceutical PreparationsPotassium Channel BlockersQuaternary Ammonium Compounds

Identifiers

PMID24471705
PMCPMC3977586

What OpenQuestion holds

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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.