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Computational Peptidology

Overview of attention for book
Cover of 'Computational Peptidology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 De Novo Peptide Structure Prediction: An Overview
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    Chapter 2 Molecular Modeling of Peptides
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    Chapter 3 Improved Methods for Classification, Prediction, and Design of Antimicrobial Peptides.
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    Chapter 4 Building MHC Class II Epitope Predictor Using Machine Learning Approaches
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    Chapter 5 Brownian Dynamics Simulation of Peptides with the University of Houston Brownian Dynamics (UHBD) Program
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    Chapter 6 Computational Prediction of Short Linear Motifs from Protein Sequences
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    Chapter 7 Peptide Toxicity Prediction
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    Chapter 8 Synthetic and Structural Routes for the Rational Conversion of Peptides into Small Molecules
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    Chapter 9 In Silico Design of Antimicrobial Peptides.
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    Chapter 10 Information-driven modeling of protein-Peptide complexes.
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    Chapter 11 Computational Approaches to Developing Short Cyclic Peptide Modulators of Protein–Protein Interactions
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    Chapter 12 A Use of Homology Modeling and Molecular Docking Methods: To Explore Binding Mechanisms of Nonylphenol and Bisphenol A with Antioxidant Enzymes
  14. Altmetric Badge
    Chapter 13 Computational Peptide Vaccinology
  15. Altmetric Badge
    Chapter 14 Computational Modeling of Peptide–Aptamer Binding
Attention for Chapter 13: Computational Peptide Vaccinology
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Mentioned by

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1 X user

Citations

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25 Dimensions

Readers on

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7 Mendeley
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1 CiteULike
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Chapter title
Computational Peptide Vaccinology
Chapter number 13
Book title
Computational Peptidology
Published in
Methods in molecular biology, December 2014
DOI 10.1007/978-1-4939-2285-7_13
Pubmed ID
25555730
Book ISBNs
978-1-4939-2284-0, 978-1-4939-2285-7
Authors

Johannes Söllner

Editors

Peng Zhou, Jian Huang

Abstract

Immunoinformatics focuses on modeling immune responses for better understanding of the immune system and in many cases for proposing agents able to modify the immune system. The most classical of these agents are vaccines derived from living organisms such as smallpox or polio. More modern vaccines comprise recombinant proteins, protein domains, and in some cases peptides. Generating a vaccine from peptides however requires technologies and concepts very different from classical vaccinology. Immunoinformatics therefore provides the computational tools to propose peptides suitable for formulation into vaccines. This chapter introduces the essential biological concepts affecting design and efficacy of peptide vaccines and discusses current methods and workflows applied to design successful peptide vaccines using computers.

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X Demographics

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

Geographical breakdown

Country Count As %
Brazil 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Professor > Associate Professor 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 2 29%
Readers by discipline Count As %
Medicine and Dentistry 2 29%
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Computer Science 1 14%
Unknown 2 29%
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 14 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from Methods in molecular biology
#7,871
of 13,093 outputs
Outputs of similar age
#261,516
of 361,208 outputs
Outputs of similar age from Methods in molecular biology
#473
of 996 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,093 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.
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 361,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.

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