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Glycoinformatics

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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 13: Glycan array data management at consortium for functional glycomics.
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Chapter title
Glycan array data management at consortium for functional glycomics.
Chapter number 13
Book title
Glycoinformatics
Published in
Methods in molecular biology, February 2015
DOI 10.1007/978-1-4939-2343-4_13
Pubmed ID
Book ISBNs
978-1-4939-2342-7, 978-1-4939-2343-4
Authors

Maha Venkataraman, Ram Sasisekharan, Rahul Raman, Venkataraman, Maha, Sasisekharan, Ram, Raman, Rahul

Editors

Thomas Lütteke, Martin Frank

Abstract

Glycomics or the study of structure-function relationships of complex glycans has reshaped post-genomics biology. Glycans mediate fundamental biological functions via their specific interactions with a variety of proteins. Recognizing the importance of glycomics, large-scale research initiatives such as the Consortium for Functional Glycomics (CFG) were established to address these challenges. Over the past decade, the Consortium for Functional Glycomics (CFG) has generated novel reagents and technologies for glycomics analyses, which in turn have led to generation of diverse datasets. These datasets have contributed to understanding glycan diversity and structure-function relationships at molecular (glycan-protein interactions), cellular (gene expression and glycan analysis), and whole organism (mouse phenotyping) levels. Among these analyses and datasets, screening of glycan-protein interactions on glycan array platforms has gained much prominence and has contributed to cross-disciplinary realization of the importance of glycomics in areas such as immunology, infectious diseases, cancer biomarkers, etc. This manuscript outlines methodologies for capturing data from glycan array experiments and online tools to access and visualize glycan array data implemented at the CFG.

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Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 14%
Professor 2 14%
Researcher 2 14%
Student > Ph. D. Student 2 14%
Student > Bachelor 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Agricultural and Biological Sciences 3 21%
Engineering 2 14%
Computer Science 1 7%
Chemistry 1 7%
Other 1 7%
Unknown 3 21%