Evidence map›Paper›PMID 27113850›Full record

ArticleScientific reports2016

A web-based resource for designing therapeutics against Ebola Virus.

Sandeep Kumar Dhanda, Kumardeep Chaudhary, Sudheer Gupta, Samir Kumar Brahmachari, Gajendra P S Raghava

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors.

Sandeep Kumar DhandaBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, India.
Kumardeep ChaudharyBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, India.
Sudheer GuptaBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, India.
Samir Kumar BrahmachariCSIR-Institute of Genomics and Integrative Biology, Mathura Road, New Delhi, India.
Gajendra P S RaghavaBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we describe a web-based resource, developed for assisting the scientific community in designing an effective therapeutics against the Ebola virus. Firstly, we predicted and identified experimentally validated epitopes in each of the antigens/proteins of the five known ebolaviruses. Secondly, we generated all the possible overlapping 9mer peptides from the proteins of ebolaviruses. Thirdly, conserved peptides across all the five ebolaviruses (four human pathogenic species) with no identical sequence in the human proteome, based on 1000 Genomes project, were identified. Finally, we identified peptide or epitope-based vaccine candidates that could activate both the B- and T-cell arms of the immune system. In addition, we also identified efficacious siRNAs against the mRNA transcriptome (absent in human transcriptome) of all the five ebolaviruses. It was observed that three species can potentially be targeted by a single siRNA (19mer) and 75 siRNAs can potentially target at least two species. A web server, EbolaVCR, has been developed that incorporates all the above information and useful computational tools (http://crdd.osdd.net/oscadd/ebola/).

Indexed as

User-Computer InterfaceComputational BiologyEbolavirusEpitopesGenome, ViralHemorrhagic Fever, EbolaHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansInternetPeptidesRNA, Small InterferingTranscriptomeVaccines, SubunitEpitopesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIPeptidesRNA, Small InterferingVaccines, Subunit

Identifiers

PMID27113850
PMCPMC4845023

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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.