Evidence map›Paper›PMID 29250328›Full record

ArticleBiomedical reports2017

Sequence analysis of hepatitis C virus nonstructural protein 3-4A serine protease and prediction of conserved B and T cell epitopes.

Ayesha Naeem, Yasir Waheed

Open access · bronzeAbstract read
In one paragraph

Article in Biomedical reports, 2017. 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
0.6field-weighted citation impact, top 32% 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, 6 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

2 authors at 1 institution in 1 country.

Ayesha NaeemAtta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, DHA-I, Islamabad 44000, Pakistan.
Yasir WaheedAtta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, DHA-I, Islamabad 44000, Pakistan.
National University of Sciences and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hepatitis C virus (HCV) is a global health issue. The nonstructural protein 3 (NS3)-4Agene of HCV is responsible for serine protease activity. The aim of the present study was to develop a global consensus sequence of HCV serine protease, analyze conserved residues, and predict highly conserved B- and T-cell binding epitopes in the NS3-4A protein. A total of 160 NS3-4A sequences from the six genotypes of HCV were refracted in the current study. The amino acid sequences were aligned to obtain a global consensus sequence. The location of possible B- and T-cell epitopes were predicted in the HCV NS3-4A consensus sequence by employing bioinformatics tools. Despite the high mutation rate of HCV, the functionally important residues are highly conserved. These include residues that form the catalytic triad (His57, Asp81 and Ser139), the S1 and S6 pocket, zinc-binding site (Cys97, Cys99, Cys145 and His149) and the substrate binding groove. The epitopes B1, B8 and B9 are predicted to be ideal candidates for B-cell-based vaccine and are >95% conserved across six major HCV genotypes. The major histocompatibility complex (MHC) class I epitopes, M4, M5, M7 and M10, and MHC class II epitopes, T5, T7 and T10 are ideal epitopes for vaccine development with high antigenicity scores and high conservancy across major HCV genotypes. The predicted B- and T-cell epitopes are ideal targets for vaccine development, and are capable of producing a strong immune response for all major genotypes of HCV.

Indexed as

B-cell epitopesglobal consensus sequencehepatitis C virusserine proteaseT-cell epitopes

Identifiers

PMID29250328
PMCPMC5727757
OpenAlexW2766343168

What OpenQuestion holds

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Registered trials

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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.