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Titlebook: Immunoinformatics; Predicting Immunogen Darren R. Flower Book 2007 Humana Press 2007 Allele.Antigen.Computer.In silico.artificial intellige

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發(fā)表于 2025-3-21 17:55:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Immunoinformatics
副標(biāo)題Predicting Immunogen
編輯Darren R. Flower
視頻videohttp://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
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Immunoinformatics; Predicting Immunogen Darren R. Flower Book 2007 Humana Press 2007 Allele.Antigen.Computer.In silico.artificial intellige
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
doihttps://doi.org/10.1007/978-1-60327-118-9
isbn_softcover978-1-61737-725-9
isbn_ebook978-1-60327-118-9Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightHumana Press 2007
The information of publication is updating

書目名稱Immunoinformatics影響因子(影響力)




書目名稱Immunoinformatics影響因子(影響力)學(xué)科排名




書目名稱Immunoinformatics網(wǎng)絡(luò)公開度




書目名稱Immunoinformatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Immunoinformatics被引頻次




書目名稱Immunoinformatics被引頻次學(xué)科排名




書目名稱Immunoinformatics年度引用




書目名稱Immunoinformatics年度引用學(xué)科排名




書目名稱Immunoinformatics讀者反饋




書目名稱Immunoinformatics讀者反饋學(xué)科排名




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1064-3745 ell epitopes, MHC similarities, and predicting virulence factors of immunological interest...Immunoinformatics: Predicting Immunogenicity In Silico merges skill sets of the lab-based and the comput978-1-61737-725-9978-1-60327-118-9Series ISSN 1064-3745 Series E-ISSN 1940-6029
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yzed, ordered, visualized, classified and stored efficiently in order to be useful for practical applications. This volume contains 50 selected theoretical and applied papers presenting a wealth of new and innovative ideas, methods, models and systems which can be used for this purpose. It combines
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