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Homology Modeling

Overview of attention for book
Cover of 'Homology Modeling'

Table of Contents

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    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
  5. Altmetric Badge
    Chapter 4 Force Fields for Homology Modeling
  6. Altmetric Badge
    Chapter 5 Automated Protein Structure Modeling with SWISS-MODEL Workspace and the Protein Model Portal.
  7. Altmetric Badge
    Chapter 6 A Practical Introduction to Molecular Dynamics Simulations: Applications to Homology Modeling
  8. Altmetric Badge
    Chapter 7 Methods for Accurate Homology Modeling by Global Optimization
  9. Altmetric Badge
    Chapter 8 Ligand-Guided Receptor Optimization
  10. Altmetric Badge
    Chapter 9 Loop Simulations
  11. Altmetric Badge
    Chapter 10 Methods of Protein Structure Comparison
  12. Altmetric Badge
    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)
  14. Altmetric Badge
    Chapter 13 Methods for the Homology Modeling of Antibody Variable Regions
  15. Altmetric Badge
    Chapter 14 Investigating Protein Variants Using Structural Calculation Techniques
  16. Altmetric Badge
    Chapter 15 Macromolecular Assembly Structures by Comparative Modeling and Electron Microscopy
  17. Altmetric Badge
    Chapter 16 Preparation and Refinement of Model Protein–Ligand Complexes
  18. Altmetric Badge
    Chapter 17 Modeling Peptide–Protein Interactions
  19. Altmetric Badge
    Chapter 18 Comparison of Common Homology Modeling Algorithms: Application of User-Defined Alignments
Attention for Chapter 6: A Practical Introduction to Molecular Dynamics Simulations: Applications to Homology Modeling
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Chapter title
A Practical Introduction to Molecular Dynamics Simulations: Applications to Homology Modeling
Chapter number 6
Book title
Homology Modeling
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-588-6_6
Pubmed ID
Book ISBNs
978-1-61779-587-9, 978-1-61779-588-6
Authors

Alessandra Nurisso, Antoine Daina, Ross C. Walker, Nurisso, Alessandra, Daina, Antoine, Walker, Ross C.

Abstract

In this chapter, practical concepts and guidelines are provided for the use of molecular dynamics (MD) simulation for the refinement of homology models. First, an overview of the history and a theoretical background of MD are given. Literature examples of successful MD refinement of homology models are reviewed before selecting the Cytochrome P450 2J2 structure as a case study. We describe the setup of a system for classical MD simulation in a detailed stepwise fashion and how to perform the refinement described in the publication of Li et al. (Proteins 71:938-949, 2008). This tutorial is based on version 11 of the AMBER Molecular Dynamics software package (http://ambermd.org/). However, the approach discussed is equally applicable to any condensed phase MD simulation environment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Student > Bachelor 9 17%
Researcher 8 15%
Student > Master 5 9%
Professor 4 8%
Other 7 13%
Unknown 9 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 25%
Agricultural and Biological Sciences 13 25%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Chemistry 3 6%
Medicine and Dentistry 3 6%
Other 9 17%
Unknown 9 17%
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 25 September 2014.
All research outputs
#15,306,466
of 22,764,165 outputs
Outputs from Methods in molecular biology
#5,319
of 13,089 outputs
Outputs of similar age
#163,407
of 244,307 outputs
Outputs of similar age from Methods in molecular biology
#264
of 473 outputs
Altmetric has tracked 22,764,165 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 13,089 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 244,307 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.