Evidence map›Paper›PMID 18626669›Full record

ArticleJournal of molecular modeling2008

Computational studies of the binding site of alpha1A-adrenoceptor antagonists.

Minyong Li, Hao Fang, Lupei Du, Lin Xia, Binghe Wang

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Homology modeling a fast tool for drug discovery: current perspectives.Indian journal of pharmaceutical sciences · 2012
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. New vistas in GPCR 3D structure prediction.Journal of molecular modeling · 2010
    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 at 3 institutions in 2 countries.

Minyong LiDepartment of Chemistry and Center for Biotechnology and Drug Design, Georgia State University, Atlanta, GA 30302, USA. mli@gsu.edu
Hao Fang
Lupei Du
Lin Xia
Binghe Wang
Georgia State University · USShandong University · CNChina Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aimed at achieving a good understanding of the 3-dimensional structures of human alpha1A-adrenoceptor (alpha1A-AR), we have successfully developed its homology model based on the crystal structure of beta2-AR. Subsequent structural refinements were performed to mimic the receptor's natural membrane environment by using molecular mechanics (MM) and molecular dynamics (MD) simulations in the GBSW implicit membrane model. Through molecular docking and further simulations, possible binding modes of subtype-selective alpha1A-AR antagonists, Silodosin, RWJ-69736 and (+)SNAP-7915, were examined. Results of the modeling and docking studies are qualitatively consistent with available experimental data from mutagenesis studies. The homology model built should be very useful for designing more potent subtype-selective alpha1A-AR antagonists and for guiding further mutagenesis studies.

Indexed as

Adrenergic alpha-1 Receptor AntagonistsAdrenergic alpha-AntagonistsAmino Acid SequenceBinding SitesHumansIndolesModels, MolecularMolecular Sequence DataPiperazinesProtein ConformationPyridonesReceptors, Adrenergic, alpha-1Receptors, Adrenergic, beta-2Sequence AlignmentSequence Homology, Amino AcidAdrenergic alpha-1 Receptor AntagonistsAdrenergic alpha-AntagonistsIndolesPiperazinesPyridonesReceptors, Adrenergic, alpha-1Receptors, Adrenergic, beta-2RWJ 69736silodosin

Identifiers

PMID18626669
OpenAlexW2010506933

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.