Fuzzy Neural Network-Based Prediction of the Motif for MHC Class II Binding Peptides
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概要
- 論文の詳細を見る
Charactrizing the interaction between major histocompatibility complex(MHC)molecules and antigenic peptides is critical for understanding immunity and developing immunotherapies for autoimmune diseases and cancer. To identify the peptide binding motif and predict peptides that bind to the human MHC classII molecule HLA-DR4(^*0401), we applied a fuzzy neural network(FNN)capable of extracting the relationship between input and output. Analysis of the peptide binding motif revealed that the hydrophilicity of the position 1 residue located on the N-terminal side of the nonamer(9mer)was the most important variable and that the van der Waals volume and hydrophilicity of the position 6 residue and the hydrophilicity of the position 7 residue were also important variables. The estimation accuracy(A_<ROC> value)was high and the binding motif extracted from the FNN agreed with that derived experimentally. This study demonstrates that FNN modeling allows candidate antigenic peptides to be selected without the need for further experiments.
- 社団法人日本生物工学会の論文
- 2001-09-25
著者
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Honda Hiroyuki
Department of Biotechnology, School of Engineering, Nagoya University
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花井 泰三
Department Of Biotechnology School Of Engineering Nagoya University
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KOBAYASHI Takeshi
Department of Electrical Engineering, Faculty of Engineering Science, Osaka University
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HANAI Taizo
Department of Biochemistry and Engineering, Tohoku University
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NOGUCHI HIDEKI
Department of Biotechnology, School of Engineering, Nagoya University
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Honda Hiroyuki
Department Of Bioengineering Tokyo Institute Of Technology
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Noguchi Hideki
Department Of Biotechnology School Of Engineering Nagoya University:(present Address)genome Informat
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Kobayashi T
Graduate School Of Marine Science And Technology Tokyo University Of Marine Science And Technology
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Hanai Taizo
Department Of Biochemistry And Engineering Tohoku University
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Harrison Leonard
The Walter And Eliza Hall Institute Of Medical Research Royal Melbourne Hospital
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Harrison Leonard
The Walter & Eliza Hall Institute Of Medical Research
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Kobayashi Takeshi
Department Of Biological Chemistry College Of Bioscience And Biotechnology Chubu University
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Honda Hiroyuki
Department Of Anesthesia Niigata City General Hospital
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