Editors:
Includes cutting-edge methods and protocols
Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts
Part of the book series: Methods in Molecular Biology (MIMB, volume 1268)
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Table of contents (14 protocols)
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Front Matter
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Back Matter
About this book
In this volume expert researchers detail in silico methods widely used to study peptides. These include methods and techniques covering the database, molecular docking, dynamics simulation, data mining, de novo design and structure modeling of peptides and protein fragments. Chapters focus on integration and application of technologies to analyze, model, identify, predict, and design a wide variety of bioactive peptides, peptide analogues and peptide drugs, as well as peptide-based biomaterials. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Computational Peptidology seeks to aid scientists in the further study into this newly rising subfield.
Keywords
- Peptide
- bioinformatics
- computational biology
- molecular modeling
- peptide interaction
- peptide therapeutics
- peptidic drug design
- peptidology
- protein interaction
Editors and Affiliations
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Center of Bioinformatics (COBI), School of Life Science and Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, China
Peng Zhou, Jian Huang
Bibliographic Information
Book Title: Computational Peptidology
Editors: Peng Zhou, Jian Huang
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-2285-7
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2015
Hardcover ISBN: 978-1-4939-2284-0Published: 03 January 2015
Softcover ISBN: 978-1-4939-4809-3Published: 24 September 2016
eBook ISBN: 978-1-4939-2285-7Published: 02 January 2015
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XI, 338
Number of Illustrations: 26 b/w illustrations, 43 illustrations in colour
Topics: Protein Biochemistry, Computational and Systems Biology