Evidence map›Paper›PMID 29806609›Full record

ArticleThe Indian journal of medical research2018

Bioinformatics characterization of envelope glycoprotein from Kyasanur Forest disease virus.

Pratip Shil, Pragya Dhruv Yadav, Avinash A Patil, R Balasubramanian, Devendra T Mourya

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Article in The Indian journal of medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Pratip ShilBioinformatics Group, ICMR-National Institute of Virology, Pune, India.
Pragya Dhruv YadavBioinformatics Group, ICMR-National Institute of Virology, Pune, India.
Avinash A PatilBioinformatics Group, ICMR-National Institute of Virology, Pune, India.
R BalasubramanianKerala Unit, ICMR-National Institute of Virology, Alappuzha, India.
Devendra T MouryaICMR-National Institute of Virology, Pune, India.
ICMR-National Institute of Virology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesKyasanur Forest disease (KFD) is a febrile illness characterized by haemorrhages and caused by KFD virus (KFDV), which belongs to the Flaviviridae family. It is reported to be an endemic disease in Shimoga district of Karnataka State, India, especially in forested and adjoining areas. Several outbreaks have been reported in newer areas, which raised queries regarding the changing nature of structural proteins if any. The objective of the study was to investigate amino acid composition and antigenic variability if any, among the envelope glycoprotein (E-proteins) from old and new strains of KFDV.

methodsBioinformatic tools and techniques were used to predict B-cell epitopes and three-dimensional structures and to compare envelope glycoprotein (E-proteins) between the old strains of KFDV and those from emerging outbreaks till 2015.

resultsThe strain from recent outbreak in Thirthahalli, Karnataka State (2014), was similar to the older strain of KFDV (99.2%). Although mutations existed in strains from 2015 in Kerala KFD sequences, these did not alter the epitopes. INTERPRETATION &

conclusionsThe study revealed that though mutations existed, there were no drastic changes in the structure or antigenicity of the E-proteins from recent outbreaks. Hence, no correlation could be established between the mutations and detection in new geographical areas. It seems that KFDV must be present earlier also in many States and due to availability of testing system and alertness coming into notice now.

Indexed as

Computational BiologyDisease OutbreaksEncephalitis Viruses, Tick-BorneEndemic DiseasesGlycoproteinsHumansIndiaKyasanur Forest DiseaseViral Envelope ProteinsGlycoproteinsViral Envelope ProteinsB-cell epitopesELISAenvelope glycoproteinKyasanur Forest diseasephylogenetic analysesvirus

Identifiers

PMID29806609
PMCPMC5991130
OpenAlexW2804733807

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.