Detail EpiDOCK: a molecular docking-based tool for MHC class binding prediction (from Protein Engineering, Design, & Selection 2013, 26 (10), 631-634) Bibliografi Author: Atanasova, Mariyana ; Patronov, Atanas ; Dimitrov, Ivan ; Flower, Darren R. ; Doytchinova, Irini Topik: Docking; MHC class II binding prediction; Peptide vaccines; Quantitative matrices; Seminar - Thesis lit Bahasa: (EN )     Penerbit: Oxford University Press     Tahun Terbit: 2013     Jenis: Article - diterbitkan di jurnal ilmiah internasional Fulltext: gzt018.pdf (339.97KB; 0 download) Abstract Cellular peptide vaccines contain T-cell epitopes. The main prerequisite for a peptide to act as a T-cell epitope is that it binds to a major histocompatibility complex (MHC) protein. Peptide MHC binder identification is an extremely costly experimental challenge since human MHCs, named human leukocyte antigen, are highly polymorphic and polygenic. Here we present EpiDOCK, the first structurebased server for MHC class II binding prediction. EpiDOCK predicts binding to the 23 most frequent human, MHC class II proteins. It identifies 90% of true binders and 76% of true non-binders, with an overall accuracy of 83%. EpiDOCK is freely accessible at http:// epidock.ddg-pharmfac.net. [seminar - thesis lit] Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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