书目名称 | Computational Methods in Protein Evolution | 编辑 | Tobias Sikosek | 视频video | http://file.papertrans.cn/233/232775/232775.mp4 | 概述 | Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts | 丛书名称 | Methods in Molecular Biology | 图书封面 |  | 描述 | .This volume presents a diverse collection of methodologies used to study various problems at the protein sequence and structure level. The chapters in this book look at issues ranging from broad concepts like protein space to specifics like antibody modeling. Topics include point mutations, gene duplication, .de novo. emergence of new genes, pairwise correlated mutations, ancestral protein reconstruction, homology modelling, protein stability and dynamics, and protein-protein interactions. The book also covers a wide range of computational approaches, including sequence and structure alignments, phylogenies, physics-based and mathematical approaches, machine learning, and more. Written in the highly successful .Methods in Molecular Biology. series format, chapters include introductions to their respective topics, lists of the necessary materials and prerequisites, step-by-step, readily reproducible computational protocols (using command line or graphical user interfaces, sometimes including computer code), and tips on troubleshooting and avoiding known pitfalls..Cutting-edge and authoritative, .Computational Methods in Protein Evolution. is a valuable resource that offers useful w | 出版日期 | Book 2019 | 关键词 | phylogenetic trees; sequence reconstruction; co-evolution; Epistasis; allostery | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4939-8736-8 | isbn_softcover | 978-1-4939-9378-9 | isbn_ebook | 978-1-4939-8736-8Series ISSN 1064-3745 Series E-ISSN 1940-6029 | issn_series | 1064-3745 | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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