Evidence map›Paper›PMID 37188743›Full record

ArticleScientific reports2023

Repurposing of drugs against methyltransferase as potential Zika virus therapies.

Rohit Shukla, Anshuman Chandra, Anuj Kumar, Pallavi Kandpal, Himanshu Avashthi, Vijay Kumar Goel, Imteyaz Qamar, Nagendra Singh, David J Kelvin, Tiratha Raj Singh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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

10 authors at 6 institutions in 4 countries.

Rohit Shukla *Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology (JUIT), Waknaghat, Solan, Himachal Pradesh, 173234, India.
Anshuman Chandra *School of Biotechnology, Gautam Buddha University, Gautam Buddh Nagar, Greater Noida, Uttar Pradesh, 201312, India.
Anuj KumarLaboratory of Immunity, Shantou University Medical College, Shantou, China.
Pallavi KandpalICMR-NIMR, Dwarka, New Delhi, 110077, India.
Himanshu AvashthiDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Pusa, New Delhi, India.
Vijay Kumar GoelSchool of Physical Science, Jawaharlal Nehru University, New Delhi, 110067, India.
Imteyaz QamarSchool of Biotechnology, Gautam Buddha University, Gautam Buddh Nagar, Greater Noida, Uttar Pradesh, 201312, India.
Nagendra SinghSchool of Biotechnology, Gautam Buddha University, Gautam Buddh Nagar, Greater Noida, Uttar Pradesh, 201312, India. nagendratomar@gmail.com.
David J KelvinLaboratory of Immunity, Shantou University Medical College, Shantou, China. David.Kelvin@dal.ca.
Tiratha Raj SinghDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology (JUIT), Waknaghat, Solan, Himachal Pradesh, 173234, India. tiratharaj@gmail.com.
Gautam Buddha University · INJaypee University of Information Technology · INIndian Agricultural Statistics Research Institute · INJawaharlal Nehru University · INShantou University · CNShantou University Medical College · CN

Funding

CIHR
6 · The paper itself

Abstract

In recent years, the outbreak of infectious disease caused by Zika Virus (ZIKV) has posed a major threat to global public health, calling for the development of therapeutics to treat ZIKV disease. Several possible druggable targets involved in virus replication have been identified. In search of additional potential inhibitors, we screened 2895 FDA-approved compounds using Non-Structural Protein 5 (NS5) as a target utilizing virtual screening of in-silco methods. The top 28 compounds with the threshold of binding energy -7.2 kcal/mol value were selected and were cross-docked on the three-dimensional structure of NS5 using AutoDock Tools. Of the 2895 compounds screened, five compounds (Ceforanide, Squanavir, Amcinonide, Cefpiramide, and Olmesartan_Medoxomil) ranked highest based on filtering of having the least negative interactions with the NS5 and were selected for Molecular Dynamic Simulations (MDS) studies. Various parameters such as RMSD, RMSF, Rg, SASA, PCA and binding free energy were calculated to validate the binding of compounds to the target, ZIKV-NS5. The binding free energy was found to be -114.53, -182.01, -168.19, -91.16, -122.56, and -150.65 kJ mol

Indexed as

Zika VirusZika Virus InfectionAntiviral AgentsCefamandoleCephalosporinsDrug RepositioningHumansMethyltransferasesProtein BindingViral Nonstructural ProteinsAntiviral AgentsCefamandoleceforanidecefpiramideCephalosporinsMethyltransferasesViral Nonstructural Proteins

Identifiers

PMID37188743
PMCPMC10184974
OpenAlexW4376602559

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.