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Homology Modeling

Overview of attention for book
Cover of 'Homology Modeling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Classification of Proteins: Available Structural Space for Molecular Modeling
  3. Altmetric Badge
    Chapter 2 Effective Techniques for Protein Structure Mining
  4. Altmetric Badge
    Chapter 3 Methods for Sequence–Structure Alignment
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    Chapter 4 Force Fields for Homology Modeling
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    Chapter 5 Automated Protein Structure Modeling with SWISS-MODEL Workspace and the Protein Model Portal.
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    Chapter 6 A Practical Introduction to Molecular Dynamics Simulations: Applications to Homology Modeling
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    Chapter 7 Methods for Accurate Homology Modeling by Global Optimization
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    Chapter 8 Ligand-Guided Receptor Optimization
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    Chapter 9 Loop Simulations
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    Chapter 10 Methods of Protein Structure Comparison
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    Chapter 11 Homology Modeling of Class A G Protein-Coupled Receptors
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    Chapter 12 Homology Modeling of Transporter Proteins (Carriers and Ion Channels)
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    Chapter 13 Methods for the Homology Modeling of Antibody Variable Regions
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    Chapter 14 Investigating Protein Variants Using Structural Calculation Techniques
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    Chapter 15 Macromolecular Assembly Structures by Comparative Modeling and Electron Microscopy
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    Chapter 16 Preparation and Refinement of Model Protein–Ligand Complexes
  18. Altmetric Badge
    Chapter 17 Modeling Peptide–Protein Interactions
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    Chapter 18 Comparison of Common Homology Modeling Algorithms: Application of User-Defined Alignments
Attention for Chapter 5: Automated Protein Structure Modeling with SWISS-MODEL Workspace and the Protein Model Portal.
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Chapter title
Automated Protein Structure Modeling with SWISS-MODEL Workspace and the Protein Model Portal.
Chapter number 5
Book title
Homology Modeling
Published in
Methods in molecular biology, February 2012
DOI 10.1007/978-1-61779-588-6_5
Pubmed ID
22323219
Book ISBNs
978-1-61779-587-9, 978-1-61779-588-6
Authors

Bordoli L, Schwede T, Lorenza Bordoli, Torsten Schwede, Bordoli, Lorenza, Schwede, Torsten

Abstract

Comparative protein structure modeling is a computational approach to build three-dimensional structural models for proteins using experimental structures of related protein family members as templates. Regular blind assessments of modeling accuracy have demonstrated that comparative protein structure modeling is currently the most reliable technique to model protein structures. Homology models are often sufficiently accurate to substitute for experimental structures in a wide variety of applications. Since the usefulness of a model for specific application is determined by its accuracy, model quality estimation is an essential component of protein structure prediction. Comparative protein modeling has become a routine approach in many areas of life science research since fully automated modeling systems allow also nonexperts to build reliable models. In this chapter, we describe practical approaches for automated protein structure modeling with SWISS-MODEL Workspace and the Protein Model Portal.

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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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Turkey 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 119 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 16%
Student > Bachelor 20 16%
Researcher 17 14%
Student > Master 13 10%
Professor > Associate Professor 7 6%
Other 18 15%
Unknown 29 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 23%
Biochemistry, Genetics and Molecular Biology 24 19%
Chemistry 13 10%
Engineering 7 6%
Physics and Astronomy 4 3%
Other 13 10%
Unknown 34 27%
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 05 March 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from Methods in molecular biology
#7,811
of 13,021 outputs
Outputs of similar age
#198,798
of 249,808 outputs
Outputs of similar age from Methods in molecular biology
#316
of 458 outputs
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So far Altmetric has tracked 13,021 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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