Journal article
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
- Abstract:
-
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epitopes. For Class II MHC alleles, the binding groove is open at both ends, causing ambiguity in the positional alignment between the groove and peptide, as well as creating uncertainty as to what parts of the peptide interact with the MHC. Moreover, the antigenic peptides have variable lengths, making naive modelling ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- BioMed Central
- Journal:
- BMC Bioinformatics Journal website
- Volume:
- 7
- Article number:
- 501
- Publication date:
- 2006-01-01
- DOI:
- ISSN:
-
1471-2105
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:07743f9d-29f4-49b3-8f2b-2932ca636aa7
- Local pid:
- ora:2298
- Deposit date:
- 2008-09-04
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- Copyright holder:
- Salomon and Flower
- Copyright date:
- 2006
- Notes:
-
Citation: Salomon, J. & Flower, D. R. (2006). 'Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores', BMC Bioinformatics, 7:501. [Available at http://www.biomedcentral.com/1471-2105/7/501]
Copyright 2006 Salomon and Flower; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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