Evidence map›Paper›PMID 32308265›Full record

ArticleBioinformation2020

Analysis of methyltransferase (MTase) domain from Zika virus (ZIKV).

Sarah Afaq, Akhtar Atiya, Arshi Malik, Afaf S Alwabli, Dhafer A Alzahrani, Habeeb M Al-Solami, Othman Alzahrani, Qamre Alam, Mohammad Azhar Kamal, Aala A Abulfaraj and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2020. 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
0.5field-weighted citation impact, top 30% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

12 authors at 1 institution in 1 country.

Sarah AfaqDepartment of Clinical Biochemistry, College of Medicine, King Khalid University, Abha, Kingdom of Saudi Arabia.
Akhtar AtiyaDepartment of Pharmacognosy, College of Pharmacy, King Khalid University, Abha, Kingdom of Saudi Arabia.
Arshi MalikDepartment of Clinical Biochemistry, College of Medicine, King Khalid University, Abha, Kingdom of Saudi Arabia.
Afaf S AlwabliDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia.
Dhafer A AlzahraniDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia.
Habeeb M Al-SolamiDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia.
Othman AlzahraniDepartment of Biology, Faculty of Science, University of Tabuk, Tabuk, Kingdom of Saudi Arabia.
Qamre AlamMedical Genomics Research Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Mohammad Azhar KamalUniversity of Jeddah, Faculty of Science, Department of Biochemistry, Jeddah, Kingdom of Saudi Arabia.
Aala A AbulfarajDepartment of Biological Sciences, College of Sciences and Arts-Rabigh Campus, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Alawiah M AlhebshiDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia.
Mohammed TariqueCenter for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi-110025, India.
King Khalid University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive analysis of methyltransferase (MTase) from Zika virus (ZIKV) is of interest in the development of drugs and biomarkers in the combat and care of ZIKA fever with impulsive joint pain and conjunctivitis. MTase sequence is homologous in several viral species. We analyzed the MTase domain from ZIKV using Bioinformatics tools such as SMART, PROSITE, PFAM, PANTHER, and InterProScan to glean insights on the sequence to structure to function data. We document inclusive information on MTase from ZIKV for application in the design of drugs and biomarkers to fight against the disease.

Indexed as

beta turnmethyltransferasePfam and InterProScanPrositeSMARTZIKVα-helix

Identifiers

PMID32308265
PMCPMC7147495
OpenAlexW3013007613

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.