Literature DB >> 33068234

Influenza Hemagglutinin Head Domain Mimicry by Rational Design.

V Vamsee Aditya Mallajosyula1, Shiv Swaroop1,2, Raghavan Varadarajan3.   

Abstract

Despite diligent vaccination efforts, influenza virus infection remains a major cause for respiratory-related illness across the globe. The less-than-optimal immunity conferred by the currently prescribed seasonal vaccines and protracted production times warrant the development of novel vaccines. Induction of an epitope-focused antibody response targeting known neutralization epitopes is a viable strategy to enhance the breadth of protection against rapidly evolving infectious viruses. We report the development of a design framework to mimic the hemagglutinin (HA) head fragment of H1-subtype viruses by delineating the interaction network of invariant residues lining the receptor binding site (RBS); a site targeted by cross-reactive neutralizing antibodies. The incorporation of multiple sequence alignment information in our algorithm to fix the construct termini and engineer rational mutations facilitates the facile extension of the design to heterologous (subtype-specific) influenza strains. We evaluated our design protocol by generating head fragments from divergent influenza A H1N1 A/Puerto Rico/8/34 and pH1N1 A/California/07/2009 strains that share a sequence identity of only 74.4% within the HA1 subunit. The designed immunogens exhibited characteristics of a well-ordered protein, and bound conformation-specific RBS targeting antibodies with high affinity, a desirable feature for putative vaccine candidates. Additionally, the bacterial expression of these immunogens provides a low-cost, rapidly scalable alternative.

Entities:  

Keywords:  Energy minimization; Escherichia coli; Glycosylation; HA head; Hemagglutinin (HA); Immune focusing; In silico design; Interaction network; Post translation modifications; Protein engineering; Protein stability; Sequence conservation; Subunit vaccine

Mesh:

Substances:

Year:  2020        PMID: 33068234      PMCID: PMC7704708          DOI: 10.1007/s10930-020-09930-z

Source DB:  PubMed          Journal:  Protein J        ISSN: 1572-3887            Impact factor:   2.371


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