Evidence map›Paper›PMID 25762321›Full record

ArticleBiophysical journal2015

Computational and functional analyses of a small-molecule binding site in ROMK.

Daniel R Swale, Jonathan H Sheehan, Sreedatta Banerjee, Afeef S Husni, Thuy T Nguyen, Jens Meiler, Jerod S Denton

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. ROMK (Kir1.1) pharmacology comes of age.Channels (Austin, Tex.) · 2015
    Article
  12. Review
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

7 authors at 1 institution in 1 country.

Daniel R SwaleDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee.
Jonathan H SheehanCenter for Structural Biology, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Biochemistry, Vanderbilt University Medical Center, Nashville, Tennessee.
Sreedatta BanerjeeDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee.
Afeef S HusniDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee.
Thuy T NguyenDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee.
Jens MeilerDepartment of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee; Center for Structural Biology, Vanderbilt University Medical Center, Nashville, Tennessee.
Jerod S DentonDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Pharmacology, Vanderbilt University Medical Center, Nashville, Tennessee; Institute of Chemical Biology, Vanderbilt University Medical Center, Nashville, Tennessee; Institute for Global Health, Vanderbilt University Medical Center, Nashville, Tennessee. Electronic address: jerod.s.denton@vanderbilt.edu.
Vanderbilt University Medical Center · US

Funding

Molecular pharmacology and physiology of kidney potassium transportR01DK082884 · NIDDK · VANDERBILT UNIVERSITY · PI DENTON, JEROD S. · 2010 to 2014
$1.3M
NIDDK NIH HHS 1R01DK082884NIDDK NIH HHS R01 DK082884
6 · The paper itself

Abstract

The renal outer medullary potassium channel (ROMK, or Kir1.1, encoded by KCNJ1) critically regulates renal tubule electrolyte and water transport and hence blood volume and pressure. The discovery of loss-of-function mutations in KCNJ1 underlying renal salt and water wasting and lower blood pressure has sparked interest in developing new classes of antihypertensive diuretics targeting ROMK. The recent development of nanomolar-affinity small-molecule inhibitors of ROMK creates opportunities for exploring the chemical and physical basis of ligand-channel interactions required for selective ROMK inhibition. We previously reported that the bis-nitro-phenyl ROMK inhibitor VU591 exhibits voltage-dependent knock-off at hyperpolarizing potentials, suggesting that the binding site is located within the ion-conduction pore. In this study, comparative molecular modeling and in silico ligand docking were used to interrogate the full-length ROMK pore for energetically favorable VU591 binding sites. Cluster analysis of 2498 low-energy poses resulting from 9900 Monte Carlo docking trajectories on each of 10 conformationally distinct ROMK comparative homology models identified two putative binding sites in the transmembrane pore that were subsequently tested for a role in VU591-dependent inhibition using site-directed mutagenesis and patch-clamp electrophysiology. Introduction of mutations into the lower site had no effect on the sensitivity of the channel to VU591. In contrast, mutations of Val(168) or Asn(171) in the upper site, which are unique to ROMK within the Kir channel family, led to a dramatic reduction in VU591 sensitivity. This study highlights the utility of computational modeling for defining ligand-ROMK interactions and proposes a mechanism for inhibition of ROMK.

Indexed as

Molecular Docking SimulationAmino Acid SequenceBenzimidazolesBinding SitesMolecular Dynamics SimulationMolecular Sequence DataPotassium Channel BlockersPotassium Channels, Inwardly RectifyingProtein Binding6-nitro-2-((6-nitro-1H-benzimidazol-2-yl)methoxymethyl)-1H-benzimidazoleBenzimidazolesPotassium Channel BlockersPotassium Channels, Inwardly Rectifying

Identifiers

PMID25762321
PMCPMC4375722
OpenAlexW1997798773

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.