Recombinant subunits of SARS-CoV-2 spike protein as vaccine candidates to elicit neutralizing antibodies.

OBJECTIVES: The spike protein has been reported as one of the most critical targets for vaccine design strategies against the SARS-CoV-2 infection. Hence, we have designed, produced, and evaluated the potential use of three truncated recombinant proteins derived from spike protein as vaccine candidates capable of neutralizing SARS-CoV-2 virus. METHODS: In silico tools were used to design spike-based subunit recombinant proteins (RBD (P1 ), fusion peptide (P2 ), and S1/S2 cleavage site (P3 )). These proteins were checked for their ability to be identified by the anti-SARS-CoV-2 antibodies by exposing them to COVID-19 serum samples. The proteins were also injected into mice and rabbit, and the antibody titers were measured for 390 days to assess their neutralization efficiency. RESULTS: The antibodies that existed in the serum of COVID-19 patients were identified by designed proteins. The anti-spike antibody titer was increased in the animals injected with recombinant proteins. The VNT results revealed that the produced antibodies could neutralize the cultured live virus. CONCLUSION: Truncated subunit vaccines could also be considered as robust tools for effective vaccination against COVID-19. Using a combination of in silico, in vitro, and in vivo experiments, it was shown that the injection of spike-based truncated recombinant proteins could stimulate long-lasting and neutralizing antibody responses.

HGDB: A web retrieving cardiovascular-associated gene data.

BACKGROUND: The use of data obtained from high throughput techniques in genetics studies is an essential subject in biology. The system approaches of networking and enriching may improve the data management. Here, we annotated the molecular features for cardiovascular-associated genes and presented the HGDB search-based database (www.hgdb.ir). METHODS: The initial seed data was primarily used from Gene Ontology and was automatically enriched with other molecular features. The data was managed in a SQL popular and open source. RESULTS: The search tabs on the HGDB homepage were applied for ID/Name Gene, chromosome, cell organelle and all gene options. The search results were presented on the gene text-based and source link-based descriptions. CONCLUSIONS: The HGDB is a friendly website to present gene data in the cardiovascular field.