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.
phylogenetic trees sequence reconstruction co-evolution Epistasis allostery
Editors and affiliations
- DOI https://doi.org/10.1007/978-1-4939-8736-8
- Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2019
- Publisher Name Humana Press, New York, NY
- eBook Packages Springer Protocols
- Print ISBN 978-1-4939-8735-1
- Online ISBN 978-1-4939-8736-8
- Series Print ISSN 1064-3745
- Series Online ISSN 1940-6029
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