Detail A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach (from PLos Computational Biology 2008, 4 (4)) Bibliografi Author: Wang, Peng ; Sidney, John ; Dow, Courtney ; Mothe, Bianca ; Sette, Alessandro ; Peters, Bjoern Topik: MHC class II; Peptide binding prediction; Evaluation; Consensus approach; Seminar - Thesis lit Bahasa: (EN )     Tahun Terbit: 2008     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: pcbi.1000048.pdf (199.18KB; 0 download) Abstract The identification of MHC class II restricted peptide epitopes is an important goal in immunological research. A number of computational tools have been developed for this purpose, but there is a lack of large-scale systematic evaluation of their performance. Herein, we used a comprehensive dataset consisting of more than 10,000 previously unpublished MHCpeptide binding affinities, 29 peptide/MHC crystal structures, and 664 peptides experimentally tested for CD4+ T cell responses to systematically evaluate the performances of publicly available MHC class II binding prediction tools. While in selected instances the best tools were associated with AUC values up to 0.86, in general, class II predictions did not perform as well as historically noted for class I predictions. It appears that the ability of MHC class II molecules to bind variable length peptides, which requires the correct assignment of peptide binding cores, is a critical factor limiting the performance of existing prediction tools. To improve performance, we implemented a consensus prediction approach that combines methods with top performances. We show that this consensus approach achieved best overall performance. Finally, we make the large datasets used publicly available as a benchmark to facilitate further development of MHC class II binding peptide prediction methods. [seminar - thesis lit] Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

Copyright © 2006, 2007 Unika Atma Jaya, all rights reserved