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Glycoinformatics

Overview of attention for book
Cover of 'Glycoinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Annotation of Glycomics MS and MS/MS Spectra Using the GlycoWorkbench Software Tool.
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    Chapter 2 GlycoBase and autoGU: Resources for Interpreting HPLC-Glycan Data.
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    Chapter 3 NMR Chemical Shift Prediction of Glycans: Application of the Computer Program CASPER in Structural Analysis.
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    Chapter 4 Handling and conversion of carbohydrate sequence formats and monosaccharide notation.
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    Chapter 5 Bacterial, plant, and fungal carbohydrate structure databases: daily usage.
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    Chapter 6 Using NMR Data on GLYCOSCIENCES.de.
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    Chapter 7 Glycomic Analysis Using KEGG GLYCAN.
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    Chapter 8 GlycomeDB.
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    Chapter 9 Eukaryotic glycosylation: online methods for site prediction on protein sequences.
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    Chapter 10 Analyzing Glycan Structure Synthesis with the Glycan Pathway Predictor (GPP) Tool.
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    Chapter 11 Functional network in posttranslational modifications: glyco-net in glycoconjugate data bank.
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    Chapter 12 JCGGDB: Japan Consortium for Glycobiology and Glycotechnology Database.
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    Chapter 13 Glycan array data management at consortium for functional glycomics.
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    Chapter 14 Analyzing Glycan-Binding Patterns with the ProfilePSTMM Tool.
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    Chapter 15 Exploring the Specificities of Glycan-Binding Proteins Using Glycan Array Data and the GlycoSearch Software.
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    Chapter 16 Statistical Analysis of Amino Acids in the Vicinity of Carbohydrate Residues Performed by GlyVicinity.
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    Chapter 17 Tools to Assist Determination and Validation of Carbohydrate 3D Structure Data.
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    Chapter 18 Glyco3D: A Portal for Structural Glycosciences.
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    Chapter 19 Solution conformation of carbohydrates: a view by using NMR assisted by modeling.
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    Chapter 20 Informing saccharide structural NMR studies with density functional theory calculations.
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    Chapter 21 Energy maps for glycosidic linkage conformations.
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    Chapter 22 Conformational analysis of oligosaccharides and polysaccharides using molecular dynamics simulations.
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    Chapter 23 Molecular Dynamics Simulations of Membrane- and Protein-Bound Glycolipids Using GLYCAM.
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    Chapter 24 Lipopolysaccharide membrane building and simulation.
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    Chapter 25 Molecular Dynamics Simulations of Glycoproteins Using CHARMM.
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    Chapter 26 Calculating binding free energies for protein-carbohydrate complexes.
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    Chapter 27 Scoring Functions for AutoDock.
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    Chapter 28 Structures of Glycans Bound to Receptors from Saturation Transfer Difference (STD) NMR Spectroscopy: Quantitative Analysis by using CORCEMA-ST
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    Chapter 29 QM/MM Methods for Studying Enzymatic Reactions of Glycosyltransferases.
Attention for Chapter 28: Structures of Glycans Bound to Receptors from Saturation Transfer Difference (STD) NMR Spectroscopy: Quantitative Analysis by using CORCEMA-ST
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Chapter title
Structures of Glycans Bound to Receptors from Saturation Transfer Difference (STD) NMR Spectroscopy: Quantitative Analysis by using CORCEMA-ST
Chapter number 28
Book title
Glycoinformatics
Published in
Methods in molecular biology, February 2015
DOI 10.1007/978-1-4939-2343-4_28
Pubmed ID
Book ISBNs
978-1-4939-2342-7, 978-1-4939-2343-4
Authors

Pedro M Enríquez-Navas, Cinzia Guzzi, Juan C Muñoz-García, P.M. Nieto, Jesús Angulo, Pedro M. Enríquez-Navas, Juan C. Muñoz-García, Pedro M. Nieto

Editors

Thomas Lütteke, Martin Frank

Abstract

Glycan-receptor interactions are of fundamental relevance for a large number of biological processes, and their kinetics properties (medium/weak binding affinities) make them appropriated to be studied by ligand observed NMR techniques, among which saturation transfer difference (STD) NMR spectroscopy has been shown to be a very robust and powerful approach. The quantitative analysis of the results from a STD NMR study of a glycan-receptor interaction is essential to be able to translate the resulting spectral intensities into a 3D molecular model of the complex. This chapter describes how to carry out such a quantitative analysis by means of the Complete Relaxation and Conformational Exchange Matrix Approach for STD NMR (CORCEMA-ST), in general terms, and an example of a previous work on an antibody-glycan interaction is also shown.

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Ph. D. Student 3 23%
Student > Master 2 15%
Professor > Associate Professor 1 8%
Unknown 2 15%
Readers by discipline Count As %
Chemistry 6 46%
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 2 15%
Unknown 2 15%
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 March 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Methods in molecular biology
#7,904
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Outputs of similar age
#261,619
of 358,560 outputs
Outputs of similar age from Methods in molecular biology
#457
of 975 outputs
Altmetric has tracked 22,796,179 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 13,117 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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We're also able to compare this research output to 975 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.