Immunome Research
Open Access

Khoubieb Ali Abd-elrahman

Publications

• Research Article
  Prediction and Conservancy Analysis of Multiepitope Based Peptide Vaccine Against Merkel Cell Polyomavirus: An Immunoinformatics Approach
  Author(s): Mawadda Abd-Elraheem Awad-Elkareem, Soada Ahmed Osman, Hanaa Abdalla Mohamed, Hadeel Abd-Elrahman Hassan, Ahmed Hamdi Abu-haraz, Khoubieb Ali Abd-elrahman and Mohamed Ahmed Salih Mawadda Abd-Elraheem Awad-Elkareem, Soada Ahmed Osman, Hanaa Abdalla Mohamed, Hadeel Abd-Elrahman Hassan, Ahmed Hamdi Abu-haraz, Khoubieb Ali Abd-elrahman and Mohamed Ahmed Salih
  
  Merkel cell Polyomavirus is non-enveloped, dsDNA virus belonging to Polyomaviridae family linked to an uncommon aggressive skin malignancy. The poor prognosis and limited understanding of disease pathogenesis warrants innovative treatment. In this current study we aim to predict TB cell immunogenic epitopes from the VP1 protein of all merkel cell polyomavirus strain which will aid in effective epitope based vaccine design using immuoinformatics approaches. We retrieved 423 full-length VP1 protein sequences of merkel cell polyomaviruse virus species from the NCBI database. These sequences were analyzed to determine the conserved region and were used to predict the epitopes using the IEDB immunoinformatics algorithms. For B cell three epitope were predicted as peptide vaccine (QEKTVY, KTVYPK, and QEKTVYP). For T cell the predicted Class-I peptides (SLFSNLMPK, LQMWEAISV and LLVKGGVEV) we.. View More»
  DOI: 10.4172/1745-7580.1000134

  Abstract PDF

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