Epitope prediction for MSP1Subscript19/Subscrip

Authors: Kalyani Dhusia Pragya Kesarwani Pramod Kumar Yadav

Publish Date: 2016/06/04

Volume: 5, Issue: 1, Pages: 19-

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Abstract

Malaria disease is caused by the transmission of Plasmodium through the bite of a female A nopheles mosquito Although the Plasmodium lifecycle has been extensively characterized relatively little is known about sporozoite interaction with host organelles and proteins Individuals that survive continuous exposure to infection do eventually develop clinical immunity suggesting that a vaccine against asexual blood stage of the parasite is achievable The merozoite surface protein MSP119 of Plasmodium yoelii was considered as the target protein for epitope prediction using the computational approaches The Tcell and Bcell epitopes for MSP119 were predicted using a variety of computational tools Out of these predicted epitopes the epitopes being expressed by the protozoa were identified The 3D structures of Tcell epitopes MHCI and MHCII were modeled by homology modeling method followed by validation using the SAVES server Further the MHC molecules were identified and their 3D structures were retrieved from the Protein Data Bank The protein–protein docking of modeled epitopes with respective MHC molecules were also carried out Total Six Tcell epitopes ‘ELSEHYYDRY’ ‘LLIITIVFNI’ ‘MMYHIYKLK’ ‘IYQAMYNVIF’ ‘SEEDMPADDF’ ‘YVLLQNSTI’ for MSP119 have been identified as promising vaccine candidates Furthermore six Bcell epitopes ‘QPTET’ ‘SEETE’ ‘SDKYNKKKP’ ‘KEKKKE’ ‘CKKNKA’ ‘THPDNT’ have also been identified as potential epitopes In future these predicted epitopes might be exploited in vaccine development against malarial infectionAuthors wish to acknowledge the Department of Computational Biology and Bioinformatics Sam Higginbottom Institute of Agriculture Technology and Sciences Deemed University Allahabad India for providing the facilities to conduct this research work

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