| 書目名稱 | From Protein Structure to Function with Bioinformatics | | 編輯 | Daniel John Rigden | | 視頻video | http://file.papertrans.cn/349/348879/348879.mp4 | | 概述 | Comprehensively covers all recent developments in structure-based function prediction of proteins.Contains abundant links to publicly available resources.Genuinely world class roster of authors.Includ | | 圖書封面 |  | | 描述 | .Proteins lie at the heart of almost all biological processes and have an incredibly wide range of activities. Central to the function of all proteins is their ability to adopt, stably or sometimes transiently, structures that allow for interaction with other molecules. An understanding of the structure of a protein can therefore lead us to a much improved picture of its molecular function. This realisation has been a prime motivation of recent Structural Genomics projects, involving large-scale experimental determination of protein structures, often those of proteins about which little is known of function. These initiatives have, in turn, stimulated the massive development of novel methods for prediction of protein function from structure. Since model structures may also take advantage of new function prediction algorithms, the first part of the book deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. A detailed consideration of current structure-based function prediction methodologies forms the second part of this book, which concludes with two chapters, focusing spe | | 出版日期 | Book 20091st edition | | 關(guān)鍵詞 | CASP; Gene Ontology; Secondary structure; algorithms; bioinformatics; classification; databases; dynamics; g | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4020-9058-5 | | isbn_softcover | 978-90-481-8058-5 | | isbn_ebook | 978-1-4020-9058-5 | | copyright | Springer Science+Business Media B.V. 2009 |
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