Abstract
Binding of Major histocompatibility complex (MHC) peptide is a prerequisite for T cell activation in the immune system. MHC-binding peptides have shown promising results for immunodiagnostics and immunotherapeutic purposes. HLA-B*2705 is found to be associated with the development of variety of autoimmune diseases including Ankylosing spondylitis. Detecting MHC class I allele HLA-B*2705 binding peptides can reduce the number of peptides that need to be tested experimentally. This work describes the implementation of SVM algorithm, developed for the identification of HLA-B*2705 binding peptides in antigenic sequences. The specificity and sensitivity obtained during the development of this server are 85 and 86 %, respectively. Whereas average precision and average recall values were observed to be 85 and 86 %, respectively. Training on wide-scale data made this method more accurate and robust than all available other methods for the HLA-B*2705 allele and would prove its usability in the biomedical domain. A web server HLA-B27pred is available at http://www.nuccore.org/hlab27pred for academic and research purpose.
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Authors would like to thank Sachin Pundhir, Digvijay Singh Chauhan, and Shekhar Chandra for technical help and discussions.
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A. Gupta and S. Chandra are joint first authors and equal contributors.
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Gupta, A., Chandra, S. & Singh, T.R. HLAB27Pred: SVM-based precise method for predicting HLA-B*2705 binding peptides in antigenic sequences. Netw Model Anal Health Inform Bioinforma 3, 56 (2014). https://doi.org/10.1007/s13721-014-0056-z
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DOI: https://doi.org/10.1007/s13721-014-0056-z