Protein Folding Dynamics and Stability : Experimental and Computational Methods

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Protein Folding Dynamics and Stability : Experimental and Computational Methods

Saudagar, Prakash (EDT)/ Tripathi, Timir (EDT)

ウェブストア価格 ¥51,741（本体¥47,038）
Springer Verlag, Singapore（2023/06発売）
外貨定価 US$ 249.99
ポイント 470pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 284 p.
言語 ENG
商品コード 9789819920815
DDC分類 572.633

Full Description

This book describes recent important advancements in protein folding dynamics and stability research, as well as explaining fundamentals and examining potential methodological approaches in protein science. In vitro, in silico, and in vivo method based research of how the stability and folding of proteins help regulate the cellular dynamics and impact cell function that are crucial in explaining various physiological and pathological processes. This book offers a comprehensive coverage on various techniques and related recent developments in the experimental and computational methods of protein folding, dynamics, and stability studies. The book is also structured in such a way as to summarize the latest developments in the fiddle and key concepts to ensure that readers can understand advanced concepts as well as the fundamental big picture. And most of all, fresh insights are provided into the convergence of protein science and technology. Protein Folding Dynamics and Stability is an ideal guide to the field that will be of value for all levels of researchers and advanced graduate students with training in biochemical laboratory research.

Chapter 1. Applications of Circular Dichroism Spectroscopy in Studying Protein Folding, Stability, and Interaction.- Chapter 2. Fluorescence Spectroscopy-based Methods to Study Protein Folding Dynamics.- Chapter 3. Applications of Differential Scanning Calorimetry in Studying Folding and Stability of Proteins.- Chapter 4. Nuclear Magnetic Resonance Spectroscopy to Analyze Protein Folding and Dynamics.- Chapter 5. Molecular Dynamics Simulation Methods to Study Protein Structural Dynamics. Chapter 6. Molecular Dynamics Simulation to Study Protein Conformation and Ligand Interaction.- Chapter 7. Monte Carlo Approaches to Study Protein Conformation Ensembles. Chapter 8. Markov State Models of Molecular Simulations to Study Protein Folding and Dynamics.- Chapter 9. Enhanced Sampling and Free Energy Methods to Study Protein Folding and Dynamics.- Chapter 10. Investigating Protein Unfolding and Stability using Chaotropic Agents and Molecular Dynamics Simulation.- Chapter 11. pH-basedMolecular Dynamics Simulation for Analyzing Protein Structure and Folding.- Chapter 12. Molecular Dynamics Simulation to Study Thermal Unfolding in Proteins.- Chapter 13. Principles, Methods, and Applications of Protein Folding Inside Cells.