Literature DB >> 17691913

Prediction of MHC binding peptides and epitopes from alfalfa mosaic virus.

Virendra S Gomase1, Karbhari V Kale, Nandkishor J Chikhale, Smruti S Changbhale.   

Abstract

Peptide fragments from alfalfa mosaic virus involved multiple antigenic components directing and empowering the immune system to protect the host from infection. MHC molecules are cell surface proteins, which take active part in host immune reactions and involvement of MHC class-I & II in response to almost all antigens. Coat protein of alfalfa mosaic virus contains 221 aa residues. Analysis found five MHC ligands in coat protein as 64-LSSFNGLGV-72; 86- RILEEDLIY-94; 96-MVFSITPSY-104; 100- ITPSYAGTF-108; 110- LTDDVTTED-118; having rescaled binding affinity and c-terminal cleavage affinity more than 0.5. The predicted binding affinity is normalized by the 1% fractil. The MHC peptide binding is predicted using neural networks trained on c-terminals of known epitopes. In analysis predicted MHC/peptide binding is a log transformed value related to the IC50 values in nM units. Total numbers of peptides found are 213. Predicted MHC binding regions act like red flags for antigen specific and generate immune response against the parent antigen. So a small fragment of antigen can induce immune response against whole antigen. This theme is implemented in designing subunit and synthetic peptide vaccines. The sequence analysis method allows potential drug targets to identify active sites against plant diseases. The method integrates prediction of peptide MHC class I binding; proteosomal c-terminal cleavage and TAP transport efficiency.

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Year:  2007        PMID: 17691913     DOI: 10.2174/157016307781483441

Source DB:  PubMed          Journal:  Curr Drug Discov Technol        ISSN: 1570-1638


  2 in total

1.  Alfalfa mosaic virus nanoparticles-based in situ vaccination induces antitumor immune responses in breast cancer model.

Authors:  Mehdi Shahgolzari; Maghsoud Pazhouhandeh; Morteza Milani; Steven Fiering; Ahmad Yari Khosroushahi
Journal:  Nanomedicine (Lond)       Date:  2021-01-14       Impact factor: 5.307

Review 2.  A Brief Review of Computer-Assisted Approaches to Rational Design of Peptide Vaccines.

Authors:  Ashesh Nandy; Subhash C Basak
Journal:  Int J Mol Sci       Date:  2016-05-04       Impact factor: 5.923

  2 in total

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