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Methods in Molecular Biology

Computational Methods in Protein Evolution

Editors: Sikosek, T. Tobias (Ed.)

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  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts
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About this book

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 workflows and techniques that will help both novice and expert researchers working with proteins computationally.


Buy this book

eBook n/a
  • ISBN 978-1-4939-8736-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
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Bibliographic Information

Bibliographic Information
Book Title
Computational Methods in Protein Evolution
Editors
  • T. Tobias Sikosek
Series Title
Methods in Molecular Biology
Series Volume
1851
Copyright
2019
Publisher
Humana Press
Copyright Holder
Springer Science+Business Media, LLC, part of Springer Nature
eBook ISBN
978-1-4939-8736-8
DOI
10.1007/978-1-4939-8736-8
Series ISSN
1064-3745
Edition Number
1
Number of Pages
XIII, 420
Number of Illustrations
23 b/w illustrations, 80 illustrations in colour
Topics