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Towards the design of epitope candidates for Coronavirus 2.

ABSTRACT: The severe acute respiratory syndrome coronavirus-2, formerly known as 2019 novel coronavirus, is a pandemic public health threat. This beta coronavirus potentially infects the alveolar cells of the lung leading to pneumonia. The disease may progress into acute respiratory distress syndrome especially in elderly patients with comorbidities. Therefore, it is of interest to design and develop candidates for treatment, therapy and prevention. The spike glycoprotein of the virus known to potentially interact with angiotensin converting enzyme 2 as a cell entry receptor is a suitable candidate for further consideration as vaccine and treatment candidate. Hence, we screened the spike protein of coronavirus-2 for potential B-cell and T-cell epitopes for further deliberation. Thus, we document several peptides on the spike protein with predicted high antigenicity, low allergenicity and good stability against selected proteases. The linear B-cell epitope with sequence 'GFNCYFPLQSYGF' is of particular interest in this context towards the design and development of short peptide vaccine candidates for combat and care against the virus.

SUBMITTER: Odhar HA

PROVIDER: S-EPMC7434951 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Towards the design of epitope candidates for Coronavirus 2.

Odhar Hasanain Abdulhameed HA Ahjel Salam Waheed SW Humadi Suhad Sami SS

Bioinformation 20200531 5

The severe acute respiratory syndrome coronavirus-2, formerly known as 2019 novel coronavirus, is a pandemic public health threat. This beta coronavirus potentially infects the alveolar cells of the lung leading to pneumonia. The disease may progress into acute respiratory distress syndrome especially in elderly patients with comorbidities. Therefore, it is of interest to design and develop candidates for treatment, therapy and prevention. The spike glycoprotein of the virus known to potentially ...[more]

PMID: 32831518

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Project description:Theileriosis poses a serious threat to ruminants in tropical and subtropical countries. It is a tick-borne disease, caused by an apicomplexan parasite, Theileria. The high disease burden in animals causes huge economic losses to marginal farmers. Further, with increasing cases of resistance to commonly used drugs, it is highly desirable to develop better and cost-effective vaccines against theileriosis. The only available vaccine, live attenuated parasite vaccine, has many drawbacks and hence is unsuitable for controlling this disease. Immuno-informatics has emerged as a useful tool in down selection of potential molecules for vaccine development. In this study, we have used an immuno-informatics driven genome-wide screening strategy to identify potential vaccine targets containing important and effective dominant immunogens against Theileria. The proteome of Theileria annulata was screened for proteins with probability of plasma membrane localization or GPI anchor. The proteins non-homologous to the host (bovine) were selected and their antigenicity was analyzed. The B-cell epitopes were identified in the selected proteins and mapped in the modeled structure of the proteins. A total of 19 linear epitopes in 12 proteins, exposed in the extracellular space and having the potential to induce protective antibodies were obtained. Additionally, CTL epitopes which are peptides with 9-mer core sequence, were also identified, modeled and docked with bovine MHC-I structures. The CTL epitopes showing high binding energy with the bovine MHC-I were further engineered in silico to design a putative multi-epitope vaccine candidate against Theileria parasites. The docking studies and molecular dynamics studies with the predicted multi-epitope vaccine candidate and modeled bovine TLR4 exhibited strong binding energy, suggesting that the complex is stable and the putative multi-epitope vaccine candidate can be a potentially good candidate for vaccine development.

Dataset Information

Towards the design of epitope candidates for Coronavirus 2.

Publications

Towards the design of epitope candidates for Coronavirus 2.

Similar Datasets

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