Evidence map›Paper›PMID 25069645›Full record

ArticleMolecular medicine reports2014

Homology modeling and molecular docking of human pituitary adenylate cyclase‑activating polypeptide I receptor.

Lusheng Wu, Wenhua Guang, Xiaojia Chen, An Hong

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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 1 institution in 1 country.

Lusheng WuBiomedicine Institute, College of Life Science and Technology, Jinan University, Guangzhou, Guangdong 510632, P.R. China.
Wenhua GuangBiomedicine Institute, College of Life Science and Technology, Jinan University, Guangzhou, Guangdong 510632, P.R. China.
Xiaojia ChenBiomedicine Institute, College of Life Science and Technology, Jinan University, Guangzhou, Guangdong 510632, P.R. China.
An HongBiomedicine Institute, College of Life Science and Technology, Jinan University, Guangzhou, Guangdong 510632, P.R. China.
Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pituitary adenylate cyclase-activating peptide I receptor (PAC1R) is member of the B class of G protein-coupled seven-transmembrane receptors, with molecular functions associated with neural cell differentiation, regeneration and the inhibition of apoptosis. However, the integrity of the protein structure is difficult to be determined in vitro. In the present study, the physicochemical properties of PAC1R were analyzed, the extracellular, transmembrane and intracellular regions were constructed and a three-dimensional structure model of PAC1R was produced using extracellular loop region optimization and the energy minimization homology modeling method. Preliminary studies on the PAC1R protein and ligand interactions used a molecular docking method. The results indicated that the interaction sites of PAC1R were at Ile63, Ser100 and Gln105. These were the sites where the PAC1R combined with a hydrazide small molecule inhibitor. This study provides a theoretical basis for further studies on the model for the development of PAC1R target drugs.

Indexed as

Amino Acid SequenceBinding SitesHumansHydrazinesHydrogen BondingMolecular Docking SimulationMolecular Sequence DataProtein BindingProtein Structure, TertiaryReceptors, Pituitary Adenylate Cyclase-Activating PolypeptideSequence AlignmenthydrazineHydrazinesReceptors, Pituitary Adenylate Cyclase-Activating Polypeptide

Identifiers

PMID25069645
PMCPMC4148375
OpenAlexW2032705084

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.