An epitope on the stem region of hemagglutinin of H1N1 influenza A virus recognized by neutralizing monoclonal antibody

Filamentous bacteriophages, natural nanoparticles, for viral vaccine strategies

Filamentous bacteriophages are natural nanoparticles formed by the self-assembly of structural proteins that have the capability of replication and infection. They are used as a highly efficient vaccine platform to enhance immunogenicity and effectively stimulate the innate and adaptive immune response. Compared with traditional vaccines, phage-based vaccines offer thermodynamic stability, biocompatibility, homogeneity, high carrying capacity, self-assembly, scalability, and low toxicity. This review summarizes recent research on phage-based vaccines in virus prevention. In addition, the expression systems of filamentous phage-based virus vaccines and their application principles are discussed. Moreover, the prospect of the prevention of emerging infectious diseases, such as coronavirus 2019 (COVID-19), is also discussed.

The PentaFOLD 3.0 Algorithm for the Selection of Stable Elements of Secondary Structure to be Included in Vaccine Peptides

AIMS

The aim of this study was to create a new version of the PentaFOLD algorithm and to test its performance experimentally in several proteins and peptides.

BACKGROUND

Synthetic vaccines can cause production of neutralizing antibodies only in case if short peptides form the same secondary structure as fragments of full-length proteins. The Penta- FOLD 3.0 algorithm was designed to check stability of alpha helices, beta strands, and random coils using several propensity scales obtained during analysis of 1730 3D structures of proteins.

OBJECTIVE

The algorithm has been tested in the three peptides known to keep the secondary structure of the corresponding fragments of full-length proteins: the NY25 peptide from the Influenza H1N1 hemagglutinin, the SF23 peptide from the diphtheria toxin, the NQ21 peptide from the HIV1 gp120; as well as in the CC36 peptide from the human major prion protein.

METHODS

Affine chromatography for antibodies against peptides accompanied by circular dichroism and fluorescence spectroscopy were used to check the predictions of the algorithm.

RESULTS

Immunological experiments showed that all abovementioned peptides are more or less immunogenic in rabbits. The fact that antibodies against the NY25, the SF23, and the NQ21 form stable complexes with corresponding full-length proteins has been confirmed by affine chromatography. The surface of SARS CoV-2 spike receptor-binding domain interacting with hACE2 has been shown to be unstable according to the results of the PentaFOLD 3.0.

CONCLUSION

The PentaFOLD 3.0 algorithm (http://chemres.bsmu.by/PentaFOLD30.htm) can be used with the aim to design vaccine peptides with stable secondary structure elements.

Neutralizing antibody PR8-23 targets the footprint of the sialoglycan receptor binding site of H1N1 hemagglutinin

Influenza virus cause seasonal influenza epidemic and seriously sporadic influenza pandemic outbreaks. Hemagglutinin (HA) is an important target in the therapeutic treatment and diagnostic detection of the influenza virus. Variation in the sialic acid receptor binding site leads to strain-specific binding and results in different binding modes to the host receptors. Here, we evaluated the neutralizing activity and hemagglutination inhibition activity of a prepared murine anti-H1N1 monoclonal antibody PR8-23. Then we identified the epitope peptide of antibody PR8-23 by phage display technique from phage display peptide libraries. The identified epitope, 63-IAPLQLGKCNIA-74, containing two α-helix and two β-fold located at the footprint of the sialoglycan receptor on the RBS in the globular head domain of HA. It broads the growing arsenal of motifs for the amino acids on the globular head domain of HA in sialic acid receptor binding site and neutralizing antibody production.