Evidence map›Paper›PMID 27688753›Full record

ArticleAdvances in bioinformatics2016

Systematic Bioinformatic Approach for Prediction of Linear B-Cell Epitopes on Dengue E and prM Protein.

Mahesha N Nadugala, Prasad H Premaratne, Charitha L Goonasekara

Open access · hybridAbstract read
In one paragraph

Article in Advances in bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Surface displayed porcine epidemic diarrhea virus membrane epitopes onJournal of animal science and technology · 2025
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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

3 authors at 1 institution in 1 country.

Mahesha N NadugalaFaculty of Medicine, General Sir John Kotelawala Defence University, 10390 Ratmalana, Sri Lanka.
Prasad H PremaratneFaculty of Medicine, General Sir John Kotelawala Defence University, 10390 Ratmalana, Sri Lanka.ORCID 0000-0002-6956-0095
Charitha L GoonasekaraFaculty of Medicine, General Sir John Kotelawala Defence University, 10390 Ratmalana, Sri Lanka.ORCID 0000-0002-6956-0095
General Sir John Kotelawala Defence University · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B-cell epitopes on the envelope (E) and premembrane (prM) proteins of dengue virus (DENV) were predicted using bioinformatics tools, BepiPred, Ellipro, and SVMTriP. Predicted epitopes, 32 and 17 for E and prM proteins, respectively, were then characterized for their level of conservations. The epitopes, EP4/E (48-55), epitope number 4 of E protein at amino acids 48-55, EP9/E (165-182), EP11/E (218-233), EP20/E (322-349), EP21/E (326-353), EP23/E (356-365), and EP25/E (380-386), showed a high intraserotype conservancy with very low pan-serotype conservancy, demonstrating a potential target as serotype specific diagnostic markers. EP3 (30-41) located in domain-I and EP26/E (393-409), EP27/E (416-435), EP28/E (417-430) located in the stem region of E protein, and EP8/prM (93-112) from the prM protein have a pan-serotype conservancy higher than 70%. These epitopes indicate a potential use as universal vaccine candidates, subjected to verification of their potential in viral neutralization. EP2/E (16-21), EP5/E (62-123), EP6/E (63-89), EP19/E (310-329), and EP24/E (371-402), which have more than 50% pan-serotype conservancies, were found on E protein regions that are important in host cell attachment. Previous studies further show evidence for some of these epitopes to generate cross-reactive neutralizing antibodies, indicating their importance in antiviral strategies for DENV. This study suggests that bioinformatic approaches are attractive first line of screening for identification of linear B-cell epitopes.

Identifiers

PMID27688753
PMCPMC5023840
OpenAlexW2512443537

What OpenQuestion holds

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LicenceCC BY
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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.