| 書(shū)目名稱 | Immunoinformatics | | 副標(biāo)題 | Predicting Immunogen | | 編輯 | Darren R. Flower | | 視頻video | http://file.papertrans.cn/463/462163/462163.mp4 | | 概述 | Addresses databases, HLA supertypes, MCH binding, and other properties of immune systems.A firm background for anyone working in immunoinformatics.Chapters written by leaders in the field | | 叢書(shū)名稱 | Methods in Molecular Biology | | 圖書(shū)封面 |  | | 描述 | .Immunoinformatics: Predicting Immunogenicity In Silico is a primer for researchers interested in this emerging and exciting technology and provides examples in the major areas within the field of immunoinformatics. This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology...The volume is conveniently divided into four sections. The first section, Databases, details various immunoinformatic databases, including IMGT/HLA, IPD, and SYEPEITHI. In the second section, Defining HLA Supertypes, authors discuss supertypes of GRID/CPCA and hierarchical clustering methods, Hla-Ad supertypes, MHC supertypes, and Class I Hla Alleles. The third section, Predicting Peptide-MCH Binding, includes discussions of MCH binders, T-Cell epitopes, Class I and II Mouse Major Histocompatibility, and HLA-peptide binding. Within the fourth section, Predicting Other Properties of Immune Systems, investigators outline TAP binding, B-cell epitopes, MHC similarities, and predicting virulence factors of immunological interest...Immunoinformatics: Predicting Immunogenicity In Silico merges skill sets of the lab-based and the comput | | 出版日期 | Book 2007 | | 關(guān)鍵詞 | Allele; Antigen; Computer; In silico; artificial intelligence; calculus; database; databases; genetics; machi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-60327-118-9 | | isbn_softcover | 978-1-61737-725-9 | | isbn_ebook | 978-1-60327-118-9Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | Humana Press 2007 |
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