Evidence map›Paper›PMID 36897962›Full record

ReviewFuture science OA2023

State of the art in epitope mapping and opportunities in COVID-19.

Samira M Hamed, Masarra M Sakr, Ghadir S El-Housseiny, Reham Wasfi, Khaled M Aboshanab

Open access · goldAbstract readReview
In one paragraph

Review in Future science OA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 15 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 2 institutions in 1 country.

Samira M HamedDepartment of Microbiology & Immunology, Faculty of Pharmacy, October University for Modern Sciences & Arts (MSA), Giza, 12451, Egypt.ORCID https://orcid.org/0000-0003-2387-5814
Masarra M SakrDepartment of Microbiology & Immunology, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.ORCID https://orcid.org/0000-0001-9906-9435
Ghadir S El-HousseinyDepartment of Microbiology & Immunology, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.ORCID https://orcid.org/0000-0001-7454-4148
Reham WasfiDepartment of Microbiology & Immunology, Faculty of Pharmacy, October University for Modern Sciences & Arts (MSA), Giza, 12451, Egypt.ORCID https://orcid.org/0000-0002-6747-5946
Khaled M AboshanabDepartment of Microbiology & Immunology, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt.ORCID https://orcid.org/0000-0002-7608-850X
Ain Shams University · EGOctober University of Modern Sciences and Arts · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The understanding of any disease calls for studying specific biological structures called epitopes. One important tool recently drawing attention and proving efficiency in both diagnosis and vaccine development is epitope mapping. Several techniques have been developed with the urge to provide precise epitope mapping for use in designing sensitive diagnostic tools and developing rpitope-based vaccines (EBVs) as well as therapeutics. In this review, we will discuss the state of the art in epitope mapping with a special emphasis on accomplishments and opportunities in combating COVID-19. These comprise SARS-CoV-2 variant analysis versus the currently available immune-based diagnostic tools and vaccines, immunological profile-based patient stratification, and finally, exploring novel epitope targets for potential prophylactic, therapeutic or diagnostic agents for COVID-19.

Indexed as

diagnostic toolsepitope-based vaccinesepitope mappinghost-pathogen interfaceSARS-CoV-2

Identifiers

PMID36897962
PMCPMC9987558
OpenAlexW4323313251

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.