ArticleNaunyn-Schmiedeberg's archives of pharmacology2026
Immunopharmacologsical and structural insights into Rift Valley fever virus envelope glycoproteins: an immunoinformatics approach to multi-epitope vaccine design.
Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. 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
Rift Valley fever (RVF) is a clinically zoonotic pathogen associated with severe systemic and neurological complications, for which no approved vaccine is currently available. This study aimed to design a novel chimeric multi-epitope vaccine candidate targeting the RVFV Envelope polyprotein (Gn and Gc) via an integrative immunoinformatic and structural modeling approach, targeting viral envelope glycoproteins which play a crucial role in host cell entry and immune recognition. The epitopes used in the vaccine assembly were selected on the basis of antigenicity, allergenicity, and toxicity, then linked to the RS09 adjuvant and optimized using linkers. The vaccine's 3D model was built using AlphaFold 3, and its potential to bind to the human TLR4 receptor (PDB ID: 4G8A) was investigated using ClusPro 2.0 docking. Population coverage and immune simulation were conducted using IEDB and the C-ImmSim server, respectively. The vaccine is highly antigenic, soluble, stable, and has a global population coverage of more than 90%. In addition, the vaccine was found to be effective as indicated by a high binding energy and good complementarity to the complex formed by the TLR4 receptor. This study demonstrates that a highly effective and safe vaccine candidate for global RVF prevention is feasible and should be considered for development.
Indexed as
Identifiers
42249965What 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.