Evidence map›Paper›PMID 24293156›Full record

ArticleThe protein journal2013

Structure-function studies on non-synonymous SNPs of chemokine receptor gene implicated in cardiovascular disease: a computational approach.

A Sai Ramesh, Rao Sethumadhavan, Padma Thiagarajan

Abstract read
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In one paragraph

Article in The protein journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

A Sai RameshSchool of Biosciences and Technology, VIT University, Vellore, 632014, Tamil Nadu, India.
Rao Sethumadhavan
Padma Thiagarajan
Vellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among non-communicable diseases, cardiovascular disease (CVD) is claimed to be the leading cause of death worldwide. The chemokine (C-C Motif) receptor 5 (CCR5) gene has a strong association with the development of CVD and may culminate in myocardial infarction. In this study, its potential variations have been determined using molecular dynamics approach. Single nucleotide polymorphisms (SNPs) are the predominant mutations and their deleterious effects were initially screened using prediction tools. Further, for the 75 % of deleterious non-synonymous SNPs predicted in common by the above tools, root mean square deviation (RMSD) and stability residues were determined using SWISS-PDB viewer and SRide server respectively. Accordingly, four point mutations L55Q, V131F, R223W, and G301R which had RMSD ≥2.0 Å were selected and trajectory analyses were performed. In common, all trajectory analyses reported no similarities between native and mutants. Combined mutational analysis comparing all the mutants together with the native also showed significant and similar changes. Thus we conclude that the above four mutations are the potential targets of CCR5 and may lead to CVD.

Indexed as

Polymorphism, Single NucleotideCardiovascular DiseasesDNA Mutational AnalysisHumansMolecular Dynamics SimulationPoint MutationReceptors, CCR5Receptors, CCR5

Identifiers

PMID24293156
OpenAlexW2042945515

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.