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Computational Peptide Science: Methods and Protocols
Computational Peptide Science: Methods and Protocols
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- More about Computational Peptide Science: Methods and Protocols
This volume provides an overview of computational methodologies for studying peptides, covering topics such as antimicrobial peptides, foldability, amyloid sheet formation, membrane-active peptides, and more. Written in the format of the highly successful Methods in Molecular Biology series, it includes step-by-step protocols and is intended for both novice and experienced researchers.
Format: Paperback / softback
Length: 427 pages
Publication date: 19 March 2023
Publisher: Springer-Verlag New York Inc.
This comprehensive volume delves into the latest computational methodologies employed to study peptides. Spanning various topics, the chapters guide readers through the realm of antimicrobial peptides, the folding and structure of proteins, the formation of amyloid sheets, the interactions of peptides with membranes, the assembly of organized peptide structures, the interactions between proteins and peptides, the prediction of peptide-MHC complexes, advanced free energy simulations for peptide binding, and high-throughput peptide or miniprotein design techniques. Written in the style of the highly successful Methods in Molecular Biology series, each chapter offers an introduction to the subject, a comprehensive list of necessary materials, software, and reagents, practical tips on troubleshooting and potential pitfalls, and step-by-step, readily reproducible protocols.
Authoritative and cutting-edge, Computational Peptides Science: Methods and Protocols serves as a valuable resource for both novice and experienced researchers seeking to capitalize on the emerging opportunities and address the challenges posed by the field of peptides. By presenting a comprehensive collection of methods and protocols, this book aims to provide a solid foundation for understanding and advancing the study of peptides in various scientific and therapeutic contexts.
Weight: 839g
Dimension: 254 x 178 (mm)
ISBN-13: 9781071618578
Edition number: 1st ed. 2022
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