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Molecular Modeling of Proteins

Overview of attention for book
Cover of 'Molecular Modeling of Proteins'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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.
  21. Altmetric Badge
    Chapter 20 Molecular Docking to Flexible Targets
Attention for Chapter 8: Tackling sampling challenges in biomolecular simulations.
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Chapter title
Tackling sampling challenges in biomolecular simulations.
Chapter number 8
Book title
Molecular Modeling of Proteins
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1465-4_8
Pubmed ID
Book ISBNs
978-1-4939-1464-7, 978-1-4939-1465-4
Authors

Barducci A, Pfaendtner J, Bonomi M, Alessandro Barducci, Jim Pfaendtner, Massimiliano Bonomi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Ph. D. Student 8 26%
Student > Doctoral Student 3 10%
Professor > Associate Professor 3 10%
Other 2 6%
Other 5 16%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 26%
Chemistry 7 23%
Biochemistry, Genetics and Molecular Biology 4 13%
Physics and Astronomy 4 13%
Chemical Engineering 2 6%
Other 2 6%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 June 2015.
All research outputs
#20,280,315
of 22,813,792 outputs
Outputs from Methods in molecular biology
#9,910
of 13,118 outputs
Outputs of similar age
#295,827
of 353,106 outputs
Outputs of similar age from Methods in molecular biology
#636
of 997 outputs
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So far Altmetric has tracked 13,118 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,106 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 997 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.