Evidence map›Paper›PMID 41540299›Full record

ArticlePharmaceutical research2026

In Silico Analysis of Potential Vaccine Antigens for the Treatment of Crimean-Congo Hemorrhagic Fever Virus (Cchfv).

Deniz Tülümen, Esra Aydemir, Furkan Ayaz

Abstract read
In one paragraph

Article in Pharmaceutical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Deniz TülümenDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, 34010, Türkiye.
Esra AydemirDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, 34010, Türkiye. esra.aydemir81@gmail.com.
Furkan AyazDepartment of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, 34010, Türkiye. furkan1988ayaz@gmail.com.ORCID http://orcid.org/0000-0003-0271-0594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCrimean-Congo hemorrhagic fever virus (CCHFV), identified by the World Health Organization(WHO) as a potential epidemic threat, is a tick-borne Nairovirus primarily transmitted by Hyalomma marginatum species. Since its first detection in the 1940s, CCHFV has spread to multiple regions worldwide and remains a major public health concern due to its high fatality rate and expanding geographic distribution. The virus can be transmitted through tick bites or contact with infected individuals, and no licensed vaccine is currently available to prevent infection.

methodsIn this study, two CCHFV proteins, Q8JSZ3 (GP_CCHFI) and Q6TQR6 (L_CCHFI), were retrieved from public databases and analyzed using bioinformatic tools to explore their potential as vaccine candidates.

resultsThe computational analyses revealed that both proteins possess non-toxic characteristics and show promise for future vaccine design.

conclusionsThese findings provide a preliminary in-silico framework that may guide the development of effective vaccines against CCHFV.

Indexed as

Antigens, ViralHemorrhagic Fever, CrimeanHemorrhagic Fever Virus, Crimean-CongoViral ProteinsViral VaccinesAmino Acid SequenceAnimalsComputational BiologyComputer SimulationHumansAntigens, ViralViral ProteinsViral Vaccinescrimean-congo hemorrhagic fever virus (CCHFV)hyalomma marginatumin-silicovaccine candidates

Identifiers

PMID41540299
PMCPMC13076506

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.