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Published in:
2005 | OriginalPaper | Chapter
Prediction of T-cell Epitopes Using Support Vector Machine and Similarity Kernel
Authors : Feng Shi, Jing Huang
Published in: Computational Intelligence and Security
Publisher: Springer Berlin Heidelberg
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T-cell activation is a pivotal process in immune response. A precondition for this activation is the recognition of antigenic epitopes by T-cell receptors. This recognition is antigen-specific. Therefore, identifying the pattern of a MHC restricted T-cell epitopes is of great importance for immunotherapies and vaccine design. In this paper, a new kernel is proposed to use together with support vector machine for the direct prediction of T-cell epitope. The experiment was carried on an MHC type I restricted T-cell clone LAU203-1.5. The results suggest that this approach is efficient and promising.