Translational Bioinformatics of HIV Peptide 2.0: From Dry To Wet Bench

نویسندگان

چکیده

Infectious diseases have become part of human civilization as a constant phenomenon throughout time. The Human Immunodeficiency Virus (HIV) is virus that can cause immune system weakness by attacking cells CD4 receptors and CCR5 or CXCR4 chemokine coreceptors, namely helper T macrophages dendritic cells. Therefore, people infected with this will be vulnerable to opportunistic infections cancer. Here we proposed the translational bioinformatics approach from dry wet bench. From proof concept applications highlighted discussed further in diagnostic HIV vaccine candidate development based on reverse vaccinology approach. We performed sequence data analysis find best epitope for strains Indonesia compatible MHC class 1, linear core 2, B cell epitope. Epitope two expected high immunogenicity potentially produce response good memory. was then tested using an indirect ELISA against serum positive patients. In study, negative control used blood healthy individuals originating Stored Biological Material carried out commercial kit controls. PBS buffer solution coated microplate incubation time 16 hours various concentrations. As result, concentration range 1-2500 ng epitope/well recognized patient antibodies. summary, silico prediction had antigenicity anti-HIV antibodies sera samples could also promising vaccine.

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ژورنال

عنوان ژورنال: BIO web of conferences

سال: 2021

ISSN: ['2273-1709', '2117-4458']

DOI: https://doi.org/10.1051/bioconf/20214102002