Overview
- 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 2340)
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Table of contents (20 protocols)
Keywords
About this book
This volume provides computational methods and reviews various aspects of computational studies of protein aggregation. Chapters discuss the relationship between protein misfolding and protein aggregation, methods of prediction of aggregation propensities of protein, peptides, protein structure, results of computer simulations of aggregation, and computational simulations focused on specific diseases such as Alzheimer’s, Parkinson’s, and preeclampsia. 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 tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Computer Simulations of Aggregation of Proteins and Peptides aims to ensure successful results in the further study of this vital field.
Editors and Affiliations
Bibliographic Information
Book Title: Computer Simulations of Aggregation of Proteins and Peptides
Editors: Mai Suan Li, Andrzej Kloczkowski, Marek Cieplak, Maksim Kouza
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-0716-1546-1
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2022
Hardcover ISBN: 978-1-0716-1545-4Published: 16 February 2022
Softcover ISBN: 978-1-0716-1548-5Published: 16 February 2022
eBook ISBN: 978-1-0716-1546-1Published: 15 February 2022
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XIII, 478
Number of Illustrations: 7 b/w illustrations, 150 illustrations in colour
Topics: Protein Science, Bioinformatics