Vaccine Design pp 753-760

Part of the Methods in Molecular Biology book series (MIMB, volume 1404) | Cite as

MetaMHCpan, A Meta Approach for Pan-Specific MHC Peptide Binding Prediction

  • Yichang Xu
  • Cheng Luo
  • Hiroshi Mamitsuka
  • Shanfeng Zhu
Protocol

Abstract

Recent computational approaches in bioinformatics can achieve high performance, by which they can be a powerful support for performing real biological experiments, making biologists pay more attention to bioinformatics than before. In immunology, predicting peptides which can bind to MHC alleles is an important task, being tackled by many computational approaches. However, this situation causes a serious problem for immunologists to select the appropriate method to be used in bioinformatics. To overcome this problem, we develop an ensemble prediction-based Web server, which we call MetaMHCpan, consisting of two parts: MetaMHCIpan and MetaMHCIIpan, for predicting peptides which can bind MHC-I and MHC-II, respectively. MetaMHCIpan and MetaMHCIIpan use two (MHC2SKpan and LApan) and four (TEPITOPEpan, MHC2SKpan, LApan, and MHC2MIL) existing predictors, respectively. MetaMHCpan is available at http://datamining-iip.fudan.edu.cn/MetaMHCpan/index.php/pages/view/info.

Keywords

MetaMHCpan MHC-I MHC-II Binding peptides TEPITOPEpan MHC2SKpan MHC2MIL 

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Yichang Xu
    • 1
    • 2
  • Cheng Luo
    • 1
    • 2
  • Hiroshi Mamitsuka
    • 3
  • Shanfeng Zhu
    • 1
    • 2
  1. 1.School of Computer ScienceFudan UniversityShanghaiChina
  2. 2.Shanghai Key Lab of Intelligent Information ProcessingFudan UniversityShanghaiChina
  3. 3.Bioinformatics Center, Institute for Chemical ResearchKyoto UniversityKyotoJapan

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