Towards the design of epitope candidates for Coronavirus 2

Odhar, Hasanain Abdulhameed

doi:10.6026/97320630016375

Cited by 6 publications

(3 citation statements)

References 28 publications

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“…In order to design and construct an effective vaccine candidate, the employed target protein must be localized on the surface of pathogen in a solvent accessible region that facilitate the identification and recognition of potential epitopes by B-cells membrane bound immunoglobulins [ 53 , 54 ]. Also, the target protein should have no more than one trans-membrane helix and without significant sequence homology with human proteins.…”

Section: Resultsmentioning

confidence: 99%

Design and construction of multi epitope- peptide vaccine candidate for rabies virus

Odhar¹

2023

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Rabies virus is a zoonotic pathogen that causes lethal encephalitis with a case fatality rate of almost 100% in unvaccinated individuals. The currently available vaccines against rabies are composed of inactivated viral particles that only confer a short-term immune response. It is well-known that the entry of rabies virus into host cells is mediated by a trimeric glycoprotein presents on the surface of viral envelope. As the sole viral surface protein, this trimeric glycoprotein represents a promising molecular target to design new vaccines and neutralizing antibodies against rabies virus. Epitope mapping studies had identified several antigenic sites on the surface of trimeric pre-fusion glycoprotein of rabies virus. Therefore, it is of interest to screen the rabies virus glycoprotein by different web-based immuno-informatics tools to identify potential B-cells and T-cells linear epitopes. Here, we present a construct of peptide vaccine that consists of these predicted linear epitopes of rabies virus glycoprotein together with appropriate linkers and adjuvant. Various online prediction tools, molecular docking and dynamics simulation assume that the vaccine construct may be stable, safe and effective. However, validation of these in-silico results is necessary both in vitro and in vivo setting.

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Section: Resultsmentioning

confidence: 99%

Design and construction of multi epitope- peptide vaccine candidate for rabies virus

Odhar¹

2023

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“…The general framework for this study is similar to our previously published works [7,8]. A owchart summary for screening and ltration steps to identify potential epitopes can be seen in Figure 1.…”

Section: Methodsmentioning

confidence: 98%

Screening of Human Epidermal Growth Factor Receptor 2 (HER2) Extracellular Domain for Potential Epitopes by Using Immuno-informatics Tools.

Odhar

Ahjel

Odhar

et al. 2020

Preprint

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The human epidermal growth factor receptor 2 (HER2) is a well-studied oncoprotein that is overexpressed in a considerable proportion of breast cancer patients. The increased expression of this tyrosine kinase receptor is usually associated with poor clinical prognosis in female patients with breast cancer. In these patients, specific response of immune system against HER2 had been observed. This suggests that immunotherapy approaches can be employed for enhancing the response of tumor infiltrating lymphocytes against HER2 in susceptible tumor microenvironment. In this regard, peptide vaccines are considered one of the most affordable immunotherapy modalities due to their low production cost and long-term effect. For this purpose, we have screened the extracellular domain of HER2 crystal for potential B-cells and T-cells epitopes by using different immuno-informatics tools. The output peptides were then refined and filtered according to their antigenicity, allergenicity and vulnerability to selected proteases. Here, we present multiple B-cells and T-cells epitope candidates against HER2 extracellular domain with high antigenicity, low allergenicity and good resistance for selected proteolytic enzymes. These filtered epitopes can be used for design and construction of anti-HER2 peptide vaccine for potential use in HER2 positive breast cancer patients. Additionally, the sequence of linear B-cells epitopes can be used for the design of monoclonal antibody variable region against HER2 extracellular domain.

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“…Recent immuno-informatics attempts have suggested several potential epitopes for B-cells and T-cells against SARS-CoV-2 spike protein [29,30]. Some of these predicted epitopes have enabled virtual designing of either epitope-based peptide vaccine candidates or antibody variable regions.…”

Section: Towards Epitopes Identification and Sars-cov-2 Immune Therapymentioning

confidence: 99%

Potential Trends for COVID-19 Fighting: An Immuno-informatics Overview

Odhar¹,

Ahjel²

2020

Preprint

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Public health care capacity is currently overwhelmed by pandemic outbreak of coronavirus disease 2019. This respiratory disease is a real threat especially for those elderly people with comorbidities. The disease can progress into acute respiratory distress syndrome which can be fatal. No vaccine or drug had been developed against any human coronaviruses due to cessation of previous epidemics and withdrawal of assigned funds. Currently, humanity is in a real challenge to accelerate the development of effective drug and vaccine against severe acute respiratory syndrome coronavirus 2. Till now, computational approaches have played a substantial role for analysis of viral structure and also development of both drug and vaccine candidates in an accelerated pace. Some of these therapeutic designs have found their way into clinical trials. Here, we will overview different immuno-informatics attempts, targets and ideas as possible trends to counteract coronavirus disease 2019.

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Towards the design of epitope candidates for Coronavirus 2

Cited by 6 publications

References 28 publications

Design and construction of multi epitope- peptide vaccine candidate for rabies virus

Design and construction of multi epitope- peptide vaccine candidate for rabies virus

Screening of Human Epidermal Growth Factor Receptor 2 (HER2) Extracellular Domain for Potential Epitopes by Using Immuno-informatics Tools.

Potential Trends for COVID-19 Fighting: An Immuno-informatics Overview

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