Chapter title |
Computational Prediction of Immunodominant Epitopes on Outer Membrane Protein (Omp) H of Pasteurella multocida Toward Designing of a Peptide Vaccine.
|
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Chapter number | 3 |
Book title |
Vaccine Design
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3389-1_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3388-4, 978-1-4939-3389-1
|
Authors |
Bhaskar Ganguly |
Editors |
Sunil Thomas |
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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Peru | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 1 | 33% |
Student > Doctoral Student | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 1 | 33% |
Unknown | 2 | 67% |