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Molecular Modeling of Proteins

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Molecular dynamics simulations.
  3. Altmetric Badge
    Chapter 2 Transition Path Sampling with Quantum/Classical Mechanics for Reaction Rates
  4. Altmetric Badge
    Chapter 3 Current status of protein force fields for molecular dynamics simulations.
  5. Altmetric Badge
    Chapter 4 Lipid Membranes for Membrane Proteins
  6. Altmetric Badge
    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.
  10. Altmetric Badge
    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.
  13. Altmetric Badge
    Chapter 12 Accelerated Molecular Dynamics and Protein Conformational Change: A Theoretical and Practical Guide Using a Membrane Embedded Model Neurotransmitter Transporter
  14. Altmetric Badge
    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
  19. Altmetric Badge
    Chapter 18 Information-Driven Structural Modelling of Protein–Protein Interactions
  20. Altmetric Badge
    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 17: Methods for Predicting Protein–Ligand Binding Sites
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
90 Mendeley
Summary Wikipedia
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Chapter title
Methods for Predicting Protein–Ligand Binding Sites
Chapter number 17
Book title
Molecular Modeling of Proteins
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1465-4_17
Pubmed ID
25330972
Book ISBNs
978-1-4939-1464-7, 978-1-4939-1465-4
Authors

Zhong-Ru Xie, Ming-Jing Hwang, Xie, Zhong-Ru, Hwang, Ming-Jing

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 1%
Unknown 89 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 17 19%
Student > Bachelor 7 8%
Student > Master 6 7%
Professor 5 6%
Other 15 17%
Unknown 20 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 30%
Agricultural and Biological Sciences 11 12%
Pharmacology, Toxicology and Pharmaceutical Science 8 9%
Chemistry 7 8%
Computer Science 3 3%
Other 10 11%
Unknown 24 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 January 2022.
All research outputs
#7,487,737
of 22,888,307 outputs
Outputs from Methods in molecular biology
#2,327
of 13,132 outputs
Outputs of similar age
#105,796
of 353,372 outputs
Outputs of similar age from Methods in molecular biology
#169
of 997 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% of its peers.
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 353,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
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 has done well, scoring higher than 78% of its contemporaries.

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