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Protein Structure Prediction

Overview of attention for book
Cover of 'Protein Structure Prediction'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Structural Modeling and Ligand-Binding Prediction for Analysis of Structure-Unknown and Function-Unknown Proteins Using FORTE Alignment and PoSSuM Pocket Search
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    Chapter 2 The MULTICOM Protein Structure Prediction Server Empowered by Deep Learning and Contact Distance Prediction
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    Chapter 3 The Genome3D Consortium for Structural Annotations of Selected Model Organisms
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    Chapter 4 Estimating the Quality of 3D Protein Models Using the ModFOLD7 Server
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    Chapter 5 Prediction of Intrinsic Disorder with Quality Assessment Using QUARTER
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    Chapter 6 Modeling of Three-Dimensional RNA Structures Using SimRNA
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    Chapter 7 Modeling Protein Homo-Oligomer Structures with GalaxyHomomer Web Server
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    Chapter 8 Template-Based Modeling of Protein Complexes Using the PPI3D Web Server
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    Chapter 9 Protein–Protein and Protein–Peptide Docking with ClusPro Server
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    Chapter 10 Modeling of Protein Complexes and Molecular Assemblies with pyDock
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    Chapter 11 A Guide for Protein–Protein Docking Using SwarmDock
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    Chapter 12 Modeling Protein–Protein or Protein–DNA/RNA Complexes Using the HDOCK Webserver
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    Chapter 13 IDP-LZerD: Software for Modeling Disordered Protein Interactions
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    Chapter 14 AnAnaS: Software for Analytical Analysis of Symmetries in Protein Structures
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    Chapter 15 MDockPeP: A Web Server for Blind Prediction of Protein–Peptide Complex Structures
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    Chapter 16 Protocols for All-Atom Reconstruction and High-Resolution Refinement of Protein–Peptide Complex Structures
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    Chapter 17 Dockground Tool for Development and Benchmarking of Protein Docking Procedures
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    Chapter 18 Molecular Dynamics Flexible Fitting: All You Want to Know About Resolution Exchange
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    Chapter 19 Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin
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    Chapter 20 Protocols for Fast Simulations of Protein Structure Flexibility Using CABS-Flex and SURPASS
Attention for Chapter 19: Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Chapter title
Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin
Chapter number 19
Book title
Protein Structure Prediction
Published in
Methods in molecular biology, July 2020
DOI 10.1007/978-1-0716-0708-4_19
Pubmed ID
32621234
Book ISBNs
978-1-07-160707-7, 978-1-07-160708-4
Authors

Genki Terashi, Yuhong Zha, Daisuke Kihara, Terashi, Genki, Zha, Yuhong, Kihara, Daisuke

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 Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 July 2020.
All research outputs
#14,488,906
of 23,220,133 outputs
Outputs from Methods in molecular biology
#4,274
of 13,308 outputs
Outputs of similar age
#221,361
of 397,631 outputs
Outputs of similar age from Methods in molecular biology
#47
of 146 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,308 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% 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 397,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.

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