ArticleScientific reports2021
Designing multiepitope-based vaccine against Eimeria from immune mapped protein 1 (IMP-1) antigen using immunoinformatic approach.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
What it found
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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.
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.
Who cites it
17 citing papers in PubMed, 22 citations in OpenAlex.
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- Designing of an innovative conserved multiepitope subunit vaccine targeting SARS-CoV-2 glycoprotein and nucleoprotein through immunoinformatic.Scientific reports · 2025Article
- Immunoinformatics-Aided Design of a Multiepitope Vaccine AgainstBioinformatics and biology insights · 2025Article
- Research Progress in the Development of Vaccines against MycoplasmaMicroorganisms · 2024Article
- Exploring the nuclear proteins, viral capsid protein, and early antigen protein using immunoinformatic and molecular modeling approaches to design a vaccine candidate against Epstein Barr virus.Scientific reports · 2024Article
- Recombinant production of SAG1 fused with xylanase in Pichia pastoris induced higher protective immunity against Eimeria tenella infection in chicken.Microbial biotechnology · 2024Article
- Designing of a new multi-epitope vaccine against Leishmania major using Leish-F1 epitopes: An In-silico study.PloS one · 2024Article
- Systems approach to design multi-epitopic peptide vaccine candidate against fowl adenovirus structural proteins forFrontiers in cellular and infection microbiology · 2024Article
- Multi-epitope Based Peptide Vaccine Candidate AgainstBioinformatics and biology insights · 2024Article
- Proteome based analysis of circulating SARS-CoV-2 variants: approach to a universal vaccine candidate.Genes & genomics · 2023Article
- Multi-epitope vaccine candidates based on mycobacterial membrane protein large (MmpL) proteins againstOpen biology · 2023Article
- Review
- A preliminary study of the immunogenic response of plant-derived multi-epitopic peptide vaccine candidate ofFrontiers in plant science · 2023Article
- Vaccines against chicken coccidiosis with particular reference to previous decade: progress, challenges, and opportunities.Parasitology research · 2022Review
- Identification of potential candidate vaccines againstFrontiers in immunology · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug resistance against coccidiosis has posed a significant threat to chicken welfare and productivity worldwide, putting daunting pressure on the poultry industry to reduce the use of chemoprophylactic drugs and live vaccines in poultry to treat intestinal diseases. Chicken coccidiosis, caused by an apicomplexan parasite of Eimeria spp., is a significant challenge worldwide. Due to the experience of economic loss in production and prevention of the disease, development of cost-effective vaccines or drugs that can stimulate defence against multiple Eimeria species is imperative to control coccidiosis. This study explored Eimeria immune mapped protein-1 (IMP-1) to develop a multiepitope-based vaccine against coccidiosis by identifying antigenic T-cell and B-cell epitope candidates through immunoinformatic techniques. This resulted in the design of 7 CD8
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Registered trials
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.