Multi-Epitope DNA-Based Feline Immunodeficiency Virus Vaccine Construct Designed by Immunoinformatic and Machine Learning Tools as a Surrogate Model for HIV Vaccine Development.

Tyler Michalka, Abid Ullah Shah, Tiffany Liang, Maged Gomaa Hemida

Abstract read

In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Closing Remarks for the Special Issue on Coronaviruses and Influenza Viruses: Evolution, Cross-Species Transmission, and Recombination.Viruses · 2026
Article
Immunoinformatics-Guided Computational Design and In Silico Validation of Multi-Epitope Vaccine Candidates Targeting Canine and Feline Parvoviruses.Microorganisms · 2026
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

4 authors.

Tyler MichalkaDepartment of Veterinary Biomedical Sciences, Lewyt College of Veterinary Medicine, Long Island University, Brookville, NY 11548, USA.

Abid Ullah ShahDepartment of Veterinary Biomedical Sciences, Lewyt College of Veterinary Medicine, Long Island University, Brookville, NY 11548, USA.

Tiffany LiangDepartment of Veterinary Biomedical Sciences, Lewyt College of Veterinary Medicine, Long Island University, Brookville, NY 11548, USA.

Maged Gomaa HemidaDepartment of Veterinary Biomedical Sciences, Lewyt College of Veterinary Medicine, Long Island University, Brookville, NY 11548, USA.ORCID 0000-0003-1663-5820

Funding

Long Island University 40262

6 · The paper itself

Abstract

Feline immunodeficiency virus (FIV) is a lentivirus that exhibits significant structural and pathological similarities to human immunodeficiency virus (HIV), establishing it as a valuable model for HIV vaccine development. In this study, artificial intelligence (AI) and immunoinformatics were employed to design a novel multi-epitope DNA vaccine targeting conserved regions of the FIV

Indexed as

AIDS VaccinesEpitopesFeline Acquired Immunodeficiency SyndromeImmunodeficiency Virus, FelineMachine LearningVaccine DevelopmentVaccines, DNAViral VaccinesAnimalsCatsEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunoinformaticsAIDS VaccinesEpitopesEpitopes, B-LymphocyteEpitopes, T-LymphocyteVaccines, DNAViral Vaccinesartificial intelligencefeline immunodeficiency virus (FIV)human immunodeficiency virus (HIV)immunoinformaticsmulti-epitope DNA vaccine

Identifiers

PMID41901794

DOI10.3390/pathogens15030341

PMCPMC13029239

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.