ArticleMolecular and biochemical parasitology2025
Pepscan and bioinformatic strategies for identification of potential B-cell epitopes for a peptide-based vaccine for tick control.
Article in Molecular and biochemical parasitology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The cattle tick Rhipicephalus microplus poses a major problem to the livestock industry worldwide, with acaricides resistance presenting an increasing challenge. On other hand, vaccination has been suggested as a better strategy for tick control, and peptide-based vaccines could be developed to target multiple tick antigens. Nevertheless, there are still limitations to the identification of epitopes in tick candidate antigens, as the bioinformatics tools currently available were developed almost exclusively based on mammalian genomes. Therefore, improving the performance of B-cell epitope predictor algorithms is essential to achieve an effective multi-epitope vaccine for tick control. The aim of this study was to reduce costs and increase the efficacy in identifying epitopes in tick antigens. We first evaluated the performance of B-cell epitope predictor algorithms in replicating the results of an in vitro epitope mapping result for the tick salivary serpin RmS-17 as a "benchmark". Then the algorithm with the best performance was employed to predict epitopes for the tick salivary serpin RmS-6, and we screened the candidate epitopes based on predictions that were close to the reactive center loop (RCL), the region of the serpin that interacts with the target protease. Antibodies raised against p1RmS-6 and p3RmS-6 neutralize RmS-6 activity. Using this strategy, we were able to adjust an in silico algorithm predictor based on a Pepscan result to identify epitopes in another serpin. Our strategy offers a cost-effective way to identify neutralizing epitopes in serpins. Furthermore, this strategy can be applied to identify epitopes in serpins and other proteins from other tick species, potentially leading to the development of a peptide-based anti-tick vaccine.
Indexed as
Identifiers
What OpenQuestion holds
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.