Zika virus is a mosquito borne pathogen with a single strand RNA genome. Human infection with this virus is usually asymptomatic, however outbreaks reported in both Pacific region and Latin America have been associated with increase in frequency of microcephaly in newborns and fetuses of infected mothers. Also, the incidence of Guillain-Barré syndrome had also increased among adults with Zika virus infection. Currently, neither vaccine nor antiviral drug has been developed against Zika virus. Structure based virtual screening can be employed, through drug repurposing strategy, to accelerate the identification of potential anti-Zika virus candidates. As such, virtual screening of approved drugs against Zika virus NS2B/NS3 protease can help to recognize new hits capable of hindering viral ability to replicate and evade immune system of the host. In this computational study, we have screened 1615 FDA approved drugs against NS2B/NS3 protease enzyme of Zika virus by using both molecular docking and dynamics simulation. Our virtual screening results indicate that the anti-muscarinic agent Darifenacin and the anti-diarrheal agent Loperamide may have a promising capacity to inhibit Zika virus NS2B/NS3 protease. According to molecular docking and dynamics simulation, these two approved drugs have good binding capacity to NS2B/NS3 as reported by docking energy of binding and MM-PBSA binding energy. In addition, both Darifenacin and Loperamide were able to maintain close proximity to protease crystal throughout simulation period. However, invitro evaluation of these two drugs against Zika virus NS2B/NS3 protease is required to confirm these computational results.
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.
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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