2016年4月
MetaMHCpan, A Meta Approach for Pan-Specific MHC Peptide Binding Prediction
Methods in Molecular Biology
- ,
- ,
- ,
- 巻
- 1404
- 号
- 開始ページ
- 753
- 終了ページ
- 760
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1007/978-1-4939-3389-1_49
- 出版者・発行元
- Springer Nature
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.
- リンク情報
- ID情報
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- DOI : 10.1007/978-1-4939-3389-1_49
- ISSN : 1064-3745
- CiNii Articles ID : 120005980847
- PubMed ID : 27076335