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Computer Simulations of Aggregation of Proteins and Peptides

Computer Simulations of Aggregation of Proteins and Peptides

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  • More about Computer Simulations of Aggregation of Proteins and Peptides

This volume provides computational methods and reviews various aspects of computational studies of protein aggregation, including the relationship between protein misfolding and aggregation, methods of prediction, protein structure, and simulations focused on specific diseases. Written in the Methods in Molecular Biology series format, it aims to ensure successful results in the further study of this vital field.

Format: Paperback / softback
Length: 478 pages
Publication date: 16 February 2022
Publisher: Springer-Verlag New York Inc.


This comprehensive volume offers a wealth of computational methodologies and explores diverse aspects of computational studies related to protein aggregation. The chapters delve into the intricate relationship between protein misfolding and aggregation, presenting methods for predicting aggregation propensities of proteins, peptides, and protein structures. Additionally, the book showcases the outcomes of computer simulations of aggregation, providing valuable insights into the mechanisms and dynamics of this process. Furthermore, specific chapters focus on computational simulations aimed at understanding diseases such as Alzheimer's, Parkinson's, and preeclampsia, offering valuable insights into these complex disorders. Written in the renowned Methods in Molecular Biology series format, each chapter includes an introduction to its respective topic, a comprehensive list of necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and helpful tips on troubleshooting and avoiding common pitfalls. Authored by esteemed experts in the field, Computer Simulations of Aggregation of Proteins and Peptides serves as an authoritative and cutting-edge resource, aimed at ensuring successful outcomes in the further exploration of this vital area of research.

Weight: 927g
Dimension: 254 x 178 (mm)
ISBN-13: 9781071615485
Edition number: 1st ed. 2022

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