Computational Prediction of Immunodominant Epitopes on Outer Membrane Protein (Omp) H of Pasteurella multocida Toward Designing of a Peptide Vaccine

Methods Mol Biol. 2016:1404:51-57. doi: 10.1007/978-1-4939-3389-1_3.

Abstract

Contemporary vaccine design necessitates discrimination between the immunogenic and non-immunogenic components within a pathogen. To successfully target a humoral immune response, the vaccine antigen should contain not only B-cell epitopes but abounding Th-cell agretopes and MHC-II binding regions as well. No single computational method is available that allows the identification of such regions on antigens with good reliability. A consensus approach based on several prediction methods can be adopted to overcome this problem.Targeting the outer membrane protein (Omp) H as a candidate, a comprehensive work flow is described for the computational identification of immunodominant epitopes toward the designing of a peptide vaccine against Pasteurella multocida.

Keywords: B-cell epitope prediction; Immunoinformatics; Outer membrane protein H; Pasteurella multocida; Peptide vaccine; Th-cell agretope prediction.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bacterial Outer Membrane Proteins / chemistry
  • Bacterial Outer Membrane Proteins / immunology*
  • Bacterial Vaccines / chemistry
  • Bacterial Vaccines / immunology*
  • Computational Biology / methods*
  • Immunodominant Epitopes / immunology*
  • Livestock / immunology
  • Pasteurella multocida / immunology*
  • Sequence Alignment

Substances

  • Bacterial Outer Membrane Proteins
  • Bacterial Vaccines
  • Immunodominant Epitopes