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E-grāmata: Proteins: Energy, Heat and Signal Flow

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  • Formāts: 415 pages
  • Izdošanas datums: 28-Sep-2009
  • Izdevniecība: CRC Press Inc
  • Valoda: eng
  • ISBN-13: 9781040208885
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  • Formāts: 415 pages
  • Izdošanas datums: 28-Sep-2009
  • Izdevniecība: CRC Press Inc
  • Valoda: eng
  • ISBN-13: 9781040208885
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Computational modeling can provide a wealth of insight into how energy flow in proteins mediates protein function. Computational methods can also address fundamental questions related to molecular signaling and energy flow in proteins. Proteins: Energy, Heat and Signal Flow presents state-of-the-art computational strategies for studying energy redistribution, signaling, and heat transport in proteins and other molecular machines.





The first of four sections of the book address the transport of energy in molecular motors, which function through a combination of chemically driven large-scale conformational changes and charge transport. Focusing on vibrational energy flow in proteins and nanostructures, the next two sections discuss approaches based on molecular dynamics simulations and harmonic analysis. By exploring the flow of free energy in proteins, the last section examines the conformational changes involved in allosteric transitions and the role of coupled proteinsolvent dynamics in conformational changes. It also presents computational approaches developed to locate pathways between protein structures.





The integrated presentation of this comprehensive, up-to-date volume emphasizes the interrelations between disparate computational approaches that have contributed to our understanding of energy flow in proteins and its role in protein function. By defining the forefront of research in this area, the book delineates the current challenges and opportunities in developing novel methods and applications for the evolving study of energy flow in molecular machines and nanomaterials.

Recenzijas

... a useful guide for practitioners of molecular dynamics, theorists interested in structural biology, and users of modeling software seeking to understand the methods in more depth. The book is well organized, produced, and edited. References are up-to-date and comprehensive. -Harry A. Stern, University of Rochester, in the Journal of the American Chemical Society

Series Preface ix
Preface xi
Editors xv
Contributors xvii
PART I Energy Transduction in Molecular Motors
Energy Balance and Dynamics of Kinesin Motors
3(20)
Changbong Hyeon
Jose N. Onuchic
Mechanochemical Coupling in Molecular Motors: Insights from Molecular Simulations of the Myosin Motor Domain
23(24)
Haibo Yu
Yang Yang
Liang Ma
Qiang Cui
The Chemomechanical Coupling Mechanisms of Kinesin and Dynein
47(24)
Yi Qin Gao
Qiang Shao
Electron Transfer Reactions Coupled with Proton Translocation: Cytochrome Oxidase, Proton Pumps, and Biological Energy Transduction
71(36)
Alexei Stuchebrukhov
PART II Vibrational Energy Flow in Proteins: Molecular Dynamics-Based Methods
Molecular Dynamics Simulation of Proteins: Two Models of Anharmonic Dynamics
107(22)
Akinori Kidera
Kei Moritsugu
Yasuhiro Matsunaga
Hiroshi Fujisaki
Energy Flow Pathways in Photoreceptor Proteins
129(20)
Takahisa Yamato
Nonequilibrium Molecular Dynamics Simulation of Photoinduced Energy Flow in Peptides: Theory Meets Experiment
149(20)
Phuong H. Nguyen
Peter Hamm
Gerhard Stock
Energy Flow Analysis in Proteins via Ensemble Molecular Dynamics Simulations: Time-Resolved Vibrational Analysis and Surficial Kirkwood-Buff Theory
169(30)
Masataka Nagaoka
Isseki Yu
Masayoshi Takayanagi
PART III Vibrational Energy Flow in Proteins and Nanostructures: Normal Mode-Based Methods
Directed Energy Funneling in Proteins: From Structure to Function
199(30)
Yong Zhang
John E. Straub
A Minimalist Network Model for Studying Biomolecular Vibration
229(18)
Mingyang Lu
Jianpeng Ma
Heat Transport in Proteins
247(24)
David M. Leitner
Heat Transfer in Nanostructures
271(24)
Dvira Segal
PART IV Conformational Transitions and Reaction Path Searches in Proteins
Tubes, Funnels, and Milestones
295(20)
Ron Elber
Krzysztof Kuczera
Gouri S. Jas
Pathways and Rates for Structural Transformations of Peptides and Proteins
315(26)
David J. Wales
Joanne M. Carr
Mey Khalili
Vanessa K. de Souza
Birgit Strodel
Chris S. Whittleston
Energy Flow and Allostery in an Ensemble
341(20)
Vincent J. Hilser
Steven T. Whitten
Molecular Dynamics Simulation Studies of Coupled Protein and Water Dynamics
361(26)
Douglas J. Tobias
Neelanjana Sengupta
Mounir Tarek
Index 387
David M. Leitner is a Professor of Chemistry at the University of Nevada in Reno.





John E. Straub is a Professor of Chemistry at Boston University in Boston, Massachusetts.