ArticleArchives of microbiology2025
Immunological assessment of NSFu1: A novel fusion molecule constructed from structural proteins of SARS-CoV-2 for improving COVID-19 antibody detection.
Article in Archives of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Exploration of Comprehensive Structural and Functional Potential of Recombinant Proteins Using Cutting-Edge Bioinformatics Tools.Applied biochemistry and biotechnology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The SARS-CoV-2 outbreak has claimed millions of lives and caused significant clinical challenges. The availability of a rapid, cost-effective, and sensitive test to detect antibodies at different stages of COVID-19 is crucial for effective clinical management, epidemiological studies, and public health surveillance. Four novel peptides (SF1, SF2, SF4, SF6) and two multi-epitope fusion proteins (SFu1 and NSFu1) from less variable regions of the spike and nucleocapsid proteins were developed. After detailed in silico structural validation, all the proteins were expressed in E. coli (BL21), purified by Ni
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Identifiers
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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.