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Molecular Modeling of Proteins

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Cover of 'Molecular Modeling of Proteins'

Table of Contents

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    Book Overview
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    Chapter 1 Molecular dynamics simulations.
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    Chapter 2 Transition Path Sampling with Quantum/Classical Mechanics for Reaction Rates
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    Chapter 3 Current status of protein force fields for molecular dynamics simulations.
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    Chapter 4 Lipid Membranes for Membrane Proteins
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    Chapter 5 Molecular Dynamics Simulations of Membrane Proteins
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    Chapter 6 Membrane-Associated Proteins and Peptides
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    Chapter 7 Coarse-grained force fields for molecular simulations.
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    Chapter 8 Tackling sampling challenges in biomolecular simulations.
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    Chapter 9 Calculation of Binding Free Energies
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    Chapter 10 The use of experimental structures to model protein dynamics.
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    Chapter 11 Computing ensembles of transitions with molecular dynamics simulations.
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    Chapter 12 Accelerated Molecular Dynamics and Protein Conformational Change: A Theoretical and Practical Guide Using a Membrane Embedded Model Neurotransmitter Transporter
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    Chapter 13 Simulations and Experiments in Protein Folding
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    Chapter 14 Comparative Modeling of Proteins
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    Chapter 15 De Novo Membrane Protein Structure Prediction
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    Chapter 16 NMR-Based Modeling and Refinement of Protein 3D Structures
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    Chapter 17 Methods for Predicting Protein–Ligand Binding Sites
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    Chapter 18 Information-Driven Structural Modelling of Protein–Protein Interactions
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    Chapter 19 Identifying putative drug targets and potential drug leads: starting points for virtual screening and docking.
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    Chapter 20 Molecular Docking to Flexible Targets
Attention for Chapter 4: Lipid Membranes for Membrane Proteins
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Chapter title
Lipid Membranes for Membrane Proteins
Chapter number 4
Book title
Molecular Modeling of Proteins
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1465-4_4
Pubmed ID
Book ISBNs
978-1-4939-1464-7, 978-1-4939-1465-4
Authors

Andreas Kukol

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Professor 2 20%
Professor > Associate Professor 2 20%
Student > Doctoral Student 1 10%
Unknown 2 20%
Readers by discipline Count As %
Chemistry 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Agricultural and Biological Sciences 1 10%
Nursing and Health Professions 1 10%
Unknown 5 50%