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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
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    Chapter 2 Monte Carlo Simulations
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    Chapter 3 Hybrid Quantum and Classical Methods for Computing Kinetic Isotope Effects of Chemical Reactions in Solutions and in Enzymes
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    Chapter 4 Comparison of Protein Force Fields for Molecular Dynamics Simulations
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    Chapter 5 Normal Modes and Essential Dynamics
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    Chapter 6 Calculation of Absolute Protein–Ligand Binding Constants with the Molecular Dynamics Free Energy Perturbation Method
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    Chapter 7 Free Energy Calculations Applied to Membrane Proteins
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    Chapter 8 Molecular dynamics simulations of membrane proteins.
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    Chapter 9 Membrane-Associated Proteins and Peptides
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    Chapter 10 Implicit Membrane Models for Membrane Protein Simulation
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    Chapter 11 Comparative Modeling of Proteins
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    Chapter 12 Transmembrane Protein Models Based on High-Throughput Molecular Dynamics Simulations with Experimental Constraints
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    Chapter 13 Nuclear Magnetic Resonance-Based Modeling and Refinement of Protein Three-Dimensional Structures and Their Complexes
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    Chapter 14 Conformational Changes in Protein Function
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    Chapter 15 Protein Folding and Unfolding by All-Atom Molecular Dynamics Simulations
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    Chapter 16 Modeling of Protein Misfolding in Disease
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    Chapter 17 Identifying Putative Drug Targets and Potential Drug Leads
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    Chapter 18 Receptor Flexibility for Large-Scale In Silico Ligand Screens
  20. Altmetric Badge
    Chapter 19 Molecular Docking
Attention for Chapter 19: Molecular Docking
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Citations

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Chapter title
Molecular Docking
Chapter number 19
Book title
Molecular Modeling of Proteins
Published in
Methods in molecular biology, January 2008
DOI 10.1007/978-1-59745-177-2_19
Pubmed ID
Book ISBNs
978-1-58829-864-5, 978-1-59745-177-2
Authors

Garrett M. Morris, Marguerita Lim-Wilby, Morris, Garrett M., Lim-Wilby, Marguerita

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 1,043 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 3 <1%
Chile 2 <1%
Malaysia 2 <1%
Colombia 1 <1%
Turkey 1 <1%
France 1 <1%
Brazil 1 <1%
Kenya 1 <1%
United Kingdom 1 <1%
Other 4 <1%
Unknown 1026 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 241 23%
Student > Master 162 16%
Student > Ph. D. Student 117 11%
Researcher 78 7%
Student > Doctoral Student 35 3%
Other 113 11%
Unknown 297 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 186 18%
Chemistry 150 14%
Agricultural and Biological Sciences 112 11%
Pharmacology, Toxicology and Pharmaceutical Science 110 11%
Medicine and Dentistry 34 3%
Other 113 11%
Unknown 338 32%

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 22 October 2021.
All research outputs
#15,003,636
of 22,310,710 outputs
Outputs from Methods in molecular biology
#5,173
of 12,805 outputs
Outputs of similar age
#189,688
of 300,469 outputs
Outputs of similar age from Methods in molecular biology
#6
of 6 outputs
Altmetric has tracked 22,310,710 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,805 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 300,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.