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Computational Methods for Macromolecules: Challenges and Applications

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Table of Contents

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    Book Overview
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    Chapter 1 Methods for Macromolecular Modeling (M 3 ): Assessment of Progress and Future Perspectives
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    Chapter 2 Mathematics and Molecular Neurobiology
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    Chapter 3 Structural and Dynamical Characterization of Nucleic Acid Water and Ion Binding Sites
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    Chapter 4 A Test Set for Molecular Dynamics Algorithms
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    Chapter 5 Internal Coordinate Molecular Dynamics Based on the Spectroscopic B-Matrix
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    Chapter 6 The Sigma MD Program and a Generic Interface Applicable to Multi-Functional Programs with Complex, Hierarchical Command Structure
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    Chapter 7 Overcoming Instabilities in Verlet-I/r-RESPA with the Mollified Impulse Method
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    Chapter 8 On the Potential of Monte Carlo Methods for Simulating Macromolecular Assemblies
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    Chapter 9 Structure Calculation of Protein Segments Connecting Domains with Defined Secondary Structure: A Simulated Annealing Monte Carlo Combined with Biased Scaled Collective Variables Technique
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    Chapter 10 Hierarchical Uncoupling-Coupling of Metastable Conformations
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    Chapter 11 Automatic Identification of Metastable Conformations via Self-Organized Neural Networks
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    Chapter 12 Equilibrium and Nonequilibrium Foundations of Free Energy Computational Methods
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    Chapter 13 Free-Energy Calculations in Protein Folding by Generalized-Ensemble Algorithms
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    Chapter 14 Ab Initio QM/MM and Free Energy Calculations of Enzyme Reactions
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    Chapter 15 Treecode Algorithms for Computing Nonbonded Particle Interactions
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    Chapter 16 A New Reciprocal Space Based Method for Treating Long Range Interactions in Ab Initio and Force-Field Based Calculations for Surfaces, Wires, and Clusters
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    Chapter 17 Efficient Computational Algorithms for Fast Electrostatics and Molecular Docking
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    Chapter 18 Fold Recognition using the OPLS All-Atom Potential and the Surface Generalized Born Solvent Model
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    Chapter 19 Identification of Sequence-Specific Tertiary Packing Motifs in Protein Structures using Delaunay Tessellation
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Title
Computational Methods for Macromolecules: Challenges and Applications
Published by
Springer Berlin Heidelberg, December 2012
DOI 10.1007/978-3-642-56080-4
ISBNs
978-3-54-043756-7, 978-3-64-256080-4
Editors

Schlick, Tamar, Gan, Hin Hark

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 14%
Sweden 1 14%
Unknown 5 71%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Professor 2 29%
Unknown 2 29%
Readers by discipline Count As %
Mathematics 3 43%
Physics and Astronomy 1 14%
Engineering 1 14%
Unknown 2 29%