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Identification and characterization of merozoite surface protein 1 epitope
Authors:Satarudra Prakash Singh  Bhartendu Nath Mishra
Affiliation:1.Amity Institute of Biotechnology, Amity University, Uttar Pradesh, Gomti Nagar, Lucknow, 226010, India;2.Department of Biotechnology, Institute of Engineering and Technology, U. P. Technical University, Sitapur Road, Lucknow, 226021, India
Abstract:Malaria is an important tropical infection which urgently requires intervention of an effective vaccine. Antigenic variations of the parasite and allelic diversity of the host are main problems in the development of an effective malaria vaccine. Cytotoxic T lymphocytes (CTL) directedagainst Plasmodium falciparum­derived antigens are shown to play an important role for the protection against malaria. The merozoite surface protein 1 (MSP1) is expressed in all the four life-cycle stages of Plasmodium falciparum and did not find any sequence similarity to human andmouse reference proteins. MSP1 is a known target of the immune response and a single CTL epitope binding to the HLA­A*0201 is available for merozoite form. Here, we report the results from the computational characterization of MSP1, precursor (1720 residue) and screening of highestscoring potential CTL epitopes for 1712 overlapping peptides binding to thirty four HLA class­I alleles and twelve HLA class­I supertypes (5 HLA­A and 7 HLA­B) using bioinformatics tools. Supertypes are the clustered groups of HLA class­I molecules, representing a sets of moleculesthat share largely overlapping peptide binding specificity. The prediction results for MSP1 as adhesin and adhesin-like in terms of probability is 1.0. Results also show that MSP1 has orthologs to other related species as well as having non allergenicity and single transmembrane propertiesdemonstrating its suitability as a vaccine candidate. The predicted peptides are expected to be useful in the design of multi-epitope vaccineswithout compromising the human population coverage.
Keywords:epitope   supertype   vaccine   malaria   bioinformatics
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