| 書目名稱 | From Protein Structure to Function with Bioinformatics | | 編輯 | Daniel J. Rigden | | 視頻video | http://file.papertrans.cn/349/348880/348880.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 | .This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. ..The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based .ab initio. methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covaria | | 出版日期 | Book 2017Latest edition | | 關(guān)鍵詞 | Gene Ontology; Secondary Structure; Algorithms; Bioinformatics; Classification; Databases | | 版次 | 2 | | doi | https://doi.org/10.1007/978-94-024-1069-3 | | isbn_softcover | 978-94-024-1482-0 | | isbn_ebook | 978-94-024-1069-3 | | copyright | Springer Science+Business Media B.V. 2017 |
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