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ISBN-10 : 1420087037
ISBN-13 : 9781420087031
Author: David M. Leitner, John E. Straub
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 redi
Part I: Energy Transduction in Molecular Motors
1 Energy Balance and Dynamics of Kinesin Motors
2 Mechanochemical Coupling in Molecular Motors: Insights from Molecular Simulations of the Myosin Motor Domain
3 The Chemomechanical Coupling Mechanisms of Kinesin and Dynein
4 Electron Transfer
5 Molecular Dynamics Simulation of Proteins: Two Models of Anharmonic Dynamics
6 Energy Flow Pathways in Photoreceptor Proteins
7 Nonequilibrium Molecular Dynamics Simulation of Photoinduced Energy Flow in Peptides: Theory Meets Experiment
8 Energy Flow Analysis in
9 Directed Energy Funneling in Proteins: From Structure to Function
10 A Minimalist Network Model for Studying Biomolecular Vibration
11 Heat Transport in Proteins
12 Heat Transfer in Nanostructures
Part II: Conformational Transitions and Reaction Path Searches in Proteins
13 Tubes, Funnels, and Milestones
14 Pathways and Rates for Structural
15 Energy Flow and Allostery in an Ensemble
16 Molecular Dynamics Simulation Studies of Coupled Protein and Water Dynamics
protein signals
heat-shock proteins
protein signal molecules
heat shock proteins are a type of protein called
heat proteins
Tags: Proteins, Energy, Heat, Signal Flow, David Leitner, John Straub