Evidence map›Paper›PMID 29291213›Full record

ArticleVirusdisease2017

Pharmacophore modeling, atom based 3D-QSAR and Molecular docking approaches to screen C-X-C chemokine receptor type 4 antagonists as microbicides for human immunodeficiency virus-1.

Radhika Ramachandran, Shanmughavel Piramanyagam

Open access · bronzeAbstract read
In one paragraph

Article in Virusdisease, 2017. 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
0.2field-weighted citation impact, top 40% 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

2 authors at 1 institution in 1 country.

Radhika RamachandranDepartment of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu 641 046 India.
Shanmughavel PiramanyagamDepartment of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu 641 046 India.
Bharathiar University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The C-X-C chemokine receptor type 4 receptor CXCR4 which acts as a co-receptor for human immunodeficiency virus-1, expressed in the later stages of infection is considered as an attractive and new target for drug design. Microbicides acting as co-receptor blockers are highly significant as these drugs block HIV lifecycle at early stage itself. The urgent need for a safe and effective microbicide urges to explore new CXCR4 antagonists which could be developed as microbicides. The pharmacophore based 3D-QSAR models and docking models were developed using PHASE and GLIDE modules of Schrodinger software. Three-dimensional quantitative structure-activity relationships (3D-QSAR) studies and pharmacophore modelling was carried out on a dataset of 114 CXCR4 antagonists with the intention of exploring entry inhibitors with better therapeutic potential. A training set of 43 compounds was used to create 3D-QSAR models and they were validated using a test set of 28 compounds. CXCR4 antagonists with good inhibitory activity could be designed and structurally modified based upon the QSAR model developed with necessary pharmacophore features. The results revealed that the common pharmacophore hypothesis ADHPR.1 was used for 3D-QSAR model development and the most active compound, CXCR4 antagonist no.44 which is a imidazopyridine-tetrahydro-8-quinolinamine derivative interacted with the CXCR4 receptor residue ASP 97 by the formation of a hydrogen bond. Also, the docking studies were carried out for the dataset for analyzing the binding conformation of CXCR4 and 114 antagonists. The results obtained from the 3D-QSAR studies and docking simulation can be used for designing new and potent CXCR4 antagonists. The compound identified from this study can be taken up further for validation by in vitro

Indexed as

3D-QSARCXCR4 antagonistsDockingHIV-1MicrobicidesPharmacophore

Identifiers

PMID29291213
PMCPMC5684990
OpenAlexW2760603364

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.