| Literature DB >> 33343349 |
Concetta Di Natale1,2,3, Sara La Manna1, Ilaria De Benedictis1, Paola Brandi4, Daniela Marasco1.
Abstract
At the end of December 2019, an epidemic form of respiratory tract infection now namedEntities:
Keywords: COVID-19; SARS-Cov-2; clinical trials; peptide on market; peptide-based vaccine
Year: 2020 PMID: 33343349 PMCID: PMC7744882 DOI: 10.3389/fphar.2020.578382
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
FIGURE 1(A) Schematic representation of modular structure of SARS-CoV S-protein and its furin cleavage sites indicated by arrows. SP = signal peptide. (B) S1 cleavage furin site on human coronaviruses, the novel sites in SARS-CoV-2 is underlined in red while the furin cleavage on MERS is italicized. (C) Typical furin cleavage site.
Canonical alpha and beta HCoVs furin cleavage motif, ↓ indicates cut site of the protease.
| Alpha HCoVs | Beta HCoVs | S1/S2, site 1 | S1/S2, site 1 | S2′ |
|---|---|---|---|---|
| HCoV-229E | — | IAVQPR↓NVSYD | — | SRVAGR↓SA |
| HCoVNL63 | — | IPVRPR↓NSSDN | — | SRIAGR↓SA |
| — | HCoV-HKU1 | SRRKRR↓SISA | — | CGSSSR↓SF |
| — | HCoV-OC43 | KNRRSR↓GAITT | — | SKASSR↓SA |
| — | MERS-CoV | TPRSCR↓SVPG | — | GSRSAR↓SA |
| — | SARS-CoV | TVSLLR↓STGQ | IAY↓TMS | LKPTKR↓SF |
| — | SARS-CoV-2 | SPRRAR↓SVAS | IAY↓TMS | SKPSKR↓SF |
FIGURE 2Schematic representation of main types of vaccine delivery systems. (A) VLP, (B) liposome-based particle, (C) polymer micro-/nano-particle, (D) MAP, different colors indicate peptide sequences that can be diverse; “OH” is a free/unblocked carboxyl group.
Worldwide clinical trials of peptide-based vaccines (source http://www.clinicaltrials.gov, website access 20/07/2020).
| Trial phase | Number of peptide-based vaccines | Clinical indications |
|---|---|---|
| I | 178 | Cancer, HIV infections, autoimmune diseases, arthritis, digestive system diseases, gonadal disorders, lung diseases, RNA virus infections, skin diseases, malaria, allergy, mycoses, influenza, hepatitis, hand, foot and mouth disease |
| II | 115 | Cancer, blood coagulation disorders, liver diseases, lung diseases, bone marrow diseases, endocrine system diseases, hepatitis, skin diseases |
| III | 7 | Cancer |
| IV | 0 | No peptide vaccine reached market yet |
FIGURE 3Schematic representation of main steps for the identification of B- and T- cell epitopes in silico.
Peptide vaccines in preclinical phase. Source: World Health Organization (WHO) website.
| Vaccine | Producer/s | Type of candidate vaccine |
|---|---|---|
| FlowVax COVID-19 | Flow pharma | Adjuvanted, microsphere peptide vaccine targeting SARS-CoV-2 N with a suite of 16 T-cell peptides |
| DPX-COVID-19 | IMV inc | Peptide antigens formulated in lipid nanoparticles (LNP) |
| Vaxil bio | Peptide | |
| VIDO-InterVac, university of Saskatchewan | Adjuvanted microsphere peptide | |
| OncoGen | Synthetic long peptide vaccine candidate for S and M proteins | |
| Ii-key peptide vaccine | Generex/EpiVax | T-cell epitopes + ii-key peptides |
| University of sao paulo | Vlp peptides | |
| Axon neuroscience | Peptides derived from spike protein | |
| Intravacc/Epivax | Outer membrane vesicle (OMV)-subunit | |
| VIDO-InterVac, university of Saskatchewan | Adjuvanted microsphere peptide | |
| Valo therapeutics ltd | Adenovirus-based + HLA-matched peptides | |
| FBRI SRC VB VECTOR, rospotrebnadzor, koltsovo | Peptide vaccine |
WHO, World Health Organization; LNP, lipid nanoparticles; OMV, outer membrane vesicle.
CD4+ T-cell epitopes, predicted by IEDB.
| Protein | Allele | Epitope |
|---|---|---|
| S (spike) | DRB1*1101 | GNYNYLYRLFRKSN |
| DRB1*1301 | IRAAEIRASANLAA | |
| DRB1*0301 | INLVRDLPQGFSAL | |
| M (membrane) | DRB1*1101 | SYFIASFRLFARTRS |
| DRB1*1301 | AVILRGHLRIAGHH | |
| DRB1*0301 | EITVATSRTLSYYK |
CD8+ T-cell epitopes, predicted by IEDB.
| Protein | Allele | Epitope | MHC IC50 (nM) | Overall score (IEDB) |
|---|---|---|---|---|
| S (spike) | A*0201 | YLQPRTFLL | 4.6 | 1.17 |
| KIADYNYKL | 15.9 | 0.99 | ||
| FQFCNDPFL | 8.9 | 0.99 | ||
| SIIAYTMSL | 15.3 | 0.82 | ||
| VLNDILSRL | 19.7 | 0.43 | ||
| A*0101 | LTDEMIAQY | 5.2 | 1.71 | |
| WTAGAAAYY | 40.1 | 0.88 | ||
| A*2402 | NYNYLYRLF | 23.4 | 1.01 | |
| QYIKWPWYI | 8.9 | 0.45 | ||
| B*3501 | IPFAMQMAY | 2.3 | 2.24 | |
| LPFNDGVYF | 3.5 | 1.90 | ||
| VASQSIIAY | 7.2 | 1.80 | ||
| FAMQMAYRF | 6.3 | 1.70 | ||
| LGAENSVAY | 11.5 | 1.66 | ||
| M (membrane) | A*0201 | GLMWLSYFI | 4.5 | 0.86 |
| FVLAAVYRI | 11 | 0.45 | ||
| KLLEQWNLV | 7.3 | 0.18 | ||
| A*0101 | ATSRTLSYY | 48.2 | 0.92 | |
| A*2402 | YFLASFRLF | 9.9 | 1.48 | |
| SYFLASFRL | 22.5 | 0.72 | ||
| B*3501 | YANRNRFLY | 6.8 | 1.66 | |
| VATSRTLSY | 23.9 | 1.27 | ||
| FAYANRNRF | 23.6 | 0.99 |
HLA allele frequencies in the Romanian population.
| HLA allele | Frequency (%) |
|---|---|
| HLA-A*02 | 29 |
| HLA-A*01 | 14.3 |
| HLA-A*24 | 11.2 |
| HLA-B*35 | 16 |
| HLA-B*18 | 11 |
| HLA-DRB1*11 | 18.5 |
| HLA-DRB1*03 | 11.3 |
| HLA-DRB1*13 | 10.5 |