Evidence map›Paper›PMID 22035233›Full record

ArticleJournal of chemical information and modeling2011

Structure-based prediction of subtype selectivity of histamine H3 receptor selective antagonists in clinical trials.

Soo-Kyung Kim, Peter Fristrup, Ravinder Abrol, William A Goddard

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Dual Piperidine-Based Histamine HJournal of medicinal chemistry · 2023
    Article
  3. Review
  4. Review
  5. Mechanism of Action of Atypical Antipsychotic Drugs in Mood Disorders.International journal of molecular sciences · 2020
    Review
  6. Design, synthesis, and anticonvulsant effects evaluation of nonimidazole histamine HJournal of enzyme inhibition and medicinal chemistry · 2020
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. SuperBiHelix method for predicting the pleiotropic ensemble of G-protein-coupled receptor conformations.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  15. Article
  16. 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

4 authors at 2 institutions in 2 countries.

Soo-Kyung KimMaterials and Process Simulation Center (MC139-74), California Institute of Technology, 1200 E. California Blvd., Pasadena, California 91125, USA.
Peter Fristrup
Ravinder Abrol
William A Goddard
California Institute of Technology · USTechnical University of Denmark · DK

Funding

Maneuvering of Macrophage Function By Escherichia coli K1R01NS073115 · NINDS · CHILDREN'S HOSPITAL OF LOS ANGELES · PI NEMANI, PRASADARAO V · 2010 to 2014
$1.6M
A Novel Method of Nanoparticle Delivery to Brain by Targeting Ec-gp96R01NS071112 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI DAVIS, MARK E · 2010 to 2012
$972k
INHIBITORS FOR E COLI INVASION OF THE BMECR03HD036385 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI GODDARD, WILLIAM A · 1998 to 1999
–
NICHD NIH HHS R03 HD036385NINDS NIH HHS 1R01NS073115NINDS NIH HHS R01 NS071112NINDS NIH HHS R01NS071112NINDS NIH HHS R01 NS073115
6 · The paper itself

Abstract

Histamine receptors (HRs) are excellent drug targets for the treatment of diseases, such as schizophrenia, psychosis, depression, migraine, allergies, asthma, ulcers, and hypertension. Among them, the human H(3) histamine receptor (hH(3)HR) antagonists have been proposed for specific therapeutic applications, including treatment of Alzheimer's disease, attention deficit hyperactivity disorder (ADHD), epilepsy, and obesity. However, many of these drug candidates cause undesired side effects through the cross-reactivity with other histamine receptor subtypes. In order to develop improved selectivity and activity for such treatments, it would be useful to have the three-dimensional structures for all four HRs. We report here the predicted structures of four HR subtypes (H(1), H(2), H(3), and H(4)) using the GEnSeMBLE (GPCR ensemble of structures in membrane bilayer environment) Monte Carlo protocol, sampling ∼35 million combinations of helix packings to predict the 10 most stable packings for each of the four subtypes. Then we used these 10 best protein structures with the DarwinDock Monte Carlo protocol to sample ∼50 000 × 10(20) poses to predict the optimum ligand-protein structures for various agonists and antagonists. We find that E206(5.46) contributes most in binding H(3) selective agonists (5, 6, 7) in agreement with experimental mutation studies. We also find that conserved E5.46/S5.43 in both of hH(3)HR and hH(4)HR are involved in H(3)/ H(4) subtype selectivity. In addition, we find that M378(6.55) in hH(3)HR provides additional hydrophobic interactions different from hH(4)HR (the corresponding amino acid of T323(6.55) in hH(4)HR) to provide additional subtype bias. From these studies, we developed a pharmacophore model based on our predictions for known hH(3)HR selective antagonists in clinical study [ABT-239 1, GSK-189,254 2, PF-3654746 3, and BF2.649 (tiprolisant) 4] that suggests critical selectivity directing elements are: the basic proton interacting with D114(3.32), the spacer, the aromatic ring substituted with the hydrophilic or lipophilic groups interacting with lipophilic pockets in transmembranes (TMs) 3-5-6 and the aliphatic ring located in TMs 2-3-7. These 3D structures for all four HRs should help guide the rational design of novel drugs for the subtype selective antagonists and agonists with reduced side effects.

Indexed as

Drug DesignAmino Acid SequenceHistamine AgonistsHistamine H3 AntagonistsHumansModels, MolecularMolecular Sequence DataMonte Carlo MethodProtein ConformationReceptors, HistamineReceptors, Histamine H3Sequence AlignmentStructure-Activity RelationshipHistamine AgonistsHistamine H3 AntagonistsReceptors, HistamineReceptors, Histamine H3

Identifiers

PMID22035233
PMCPMC3246544
OpenAlexW2152187237

What OpenQuestion holds

Textmetadata
LicenceTDM
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.