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  • 1
    Online Resource
    Online Resource
    Tokyo :Springer Japan,
    Keywords: Proteomics. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (362 pages)
    Edition: 1st ed.
    ISBN: 9784431564546
    DDC: 572.68
    Language: English
    Note: Intro -- Preface -- Contents -- Part I Introduction -- 1 Introduction -- 2 Development of Carbohydrate Nomenclature and Representation -- 2.1 Introduction -- 2.2 Monosaccharides: From Chemical Formula to Structural Formula -- 2.2.1 Chemical Evidence -- 2.2.2 Cyclization of Monosaccharides -- 2.2.3 Naming Monosaccharides and Derivatives -- 2.2.4 Molecular Shapes of Monosaccharides -- 2.2.5 Monosaccharides as Components of Oligosaccharides, Polysaccharides, and Complex Glycans and Glycoconjugates -- 2.3 Representing and Encoding Carbohydrate Structures -- 2.3.1 Representation -- 2.3.2 Graphical Representations -- 2.4 From Graphical Input to Three-Dimensional Structures -- 2.5 In Search of Standards for Representing and Encoding Glycan-Related Information -- 2.6 Databases -- 2.7 Integration -- References -- Part II Monosaccharide and Glycan Structures -- 3 Translation and Validation of Carbohydrate Residue Names with MonosaccharideDB Routines -- 3.1 Introduction -- 3.2 Use Cases -- 3.2.1 Query Options -- 3.2.1.1 Query by Residue Name -- 3.2.1.2 Substituent Query -- 3.2.1.3 Quick Access -- 3.2.2 Residue Name Translation -- 3.2.3 Creating Unique Residue Names -- 3.2.4 MonosaccharideBuilder -- 3.3 Conclusions -- References -- 4 Using GlyTouCan Version 1.0: The First International Glycan Structure Repository -- 4.1 Introduction -- 4.2 Signing In to GlyTouCan -- 4.3 Registration -- 4.3.1 Graphical Interface for Registration -- 4.3.2 Text Input -- 4.3.3 File Upload -- 4.3.4 Registration Results -- 4.4 Search -- 4.4.1 Graphic Input -- 4.4.2 Text Input -- 4.4.3 By Motif -- 4.4.4 By Accession Number -- 4.5 Viewing GlyTouCan Data -- 4.5.1 Glycan Entry -- 4.5.2 Linked Databases -- 4.5.3 Motif List -- 4.5.4 Glycan List -- 4.5.5 User Preferences -- 4.5.6 Graphic Representation -- 4.5.7 Language -- 4.6 Drawing a Glycan Structure by GlycanBuilder. , 4.6.1 File Menu -- 4.6.2 View Menu -- 4.6.3 Structure Menu -- 4.7 Use Cases -- 4.8 Troubleshooting Tips -- References -- 5 Carbohydrate Structure Database (CSDB): Examples of Usage -- 5.1 Introduction -- 5.2 Search Tools -- 5.2.1 Example 1. Study How Introduction of an Amino Group Affects NMR Chemical Shifts of the Lactose Fragment -- 5.2.2 Example 2. Find Bacterial Glycans Containing a Galacturonic Acid Residue and at Least One More Hexose, Published After 2005 in Relation to Antigens -- 5.2.3 Example 3. Find All Compounds Extracted from the Plants of the Genus Solanum Which Contain a Solanidine Constituent -- 5.2.4 Example 4. Find All Carbohydrate Structures Having a Signal Close to 34 ppm in the 13C NMR Spectrum, Except Those Containing Any Octose -- 5.2.5 Example 5. Find All Papers by Knirel or Shashkov AS on Bacterial Structures Containing Quinovose-4-Amine Amidated by Any N-Acetylated Amino Acid -- 5.2.6 Example 6. Find All Bacterial Nonose Monosaccharide Structures (Monomers or Homopolymers) -- 5.3 NMR Tools -- 5.3.1 Example 7. Predict 13C NMR Spectrum of 3-O-α-Abequosyl-6-deoxy-β-d-mannoheptopyranosyl-(d-ribitol-1)-phosphate in Water Solution and Explore Credibility of Chemical Shifts Simulated with Lowest Reported Trustworthiness -- 5.3.2 Example 8. Rank Structural Hypotheses for an Unelucidated Oligomer Conforming to an Experimental 13C NMR Spectrum and Containing Bacillosamine, Galacturonic Acid, and Lysine Residues -- 5.4 Statistical Tools -- 5.4.1 Example 9. Study Monomeric Composition of Two Fungal Species, Aspergillus oryzae and Aspergillus fumigatus, and Reveal Which Monomers Occupy the Termini of Side Chains -- 5.4.2 Example 10. Find Which Dimeric Fragments (Including Sugars, Aglycons, and Other Residues) of Higher Plant Carbohydrates Are Specific to Lupins -- 5.4.3 Example 11. Study Coverage Statistics of Proteobacteria. , 5.5 Conclusion -- References -- Part III Glyco-related Genes and Proteins -- 6 The CAZy Database/the Carbohydrate-Active Enzyme (CAZy) Database: Principles and Usage Guidelines -- 6.1 Classes of CAZy Modules -- 6.2 Browsing the CAZy Website -- 6.2.1 Browsing by CAZy Class and Families -- 6.2.1.1 CAZy Class Webpages -- 6.2.1.2 CAZy Family Webpages -- 6.2.1.3 Recent Addition of Carbohydrate Ligands -- 6.2.2 Browsing by Genome -- 6.3 Retrieving Information from the Search Form/Engine in the CAZy Website -- 6.4 How to Get CAZy to Annotate Your Studied Protein, Genome, or Metagenomic Sample? -- 6.5 What to Do If You Obtain a New Activity or the 3-D Structure for a CAZyme or If You Characterize a New CAZy Family? -- 6.5.1 Novel Activity, 3-D Structure, or New Chemical Information for an Enzyme in an Existing CAZy Family -- 6.5.2 Novel Family in the CAZy Classification -- 6.6 Why Doesn't CAZy Extend Its Classification Scheme to Other Classes of Enzymes? -- 6.7 Why Doesn't CAZy Propagate Experimentally Established Function to Similar Sequences? -- 6.8 Links and Announcements on the CAZy Website -- 6.9 What Is the PULDB Database? -- 6.10 Conclusion -- References -- 7 Glyco3D: A Suite of Interlinked Databases of 3D Structures of Complex Carbohydrates, Lectins, Antibodies, and Glycosyltransferases -- 7.1 *-8pt -- 7.2 Representing and Encoding Complex Carbohydrates -- 7.3 Glyco3D Portal: An Ensemble of 3D Databases for Glycosciences -- 7.3.1 Monosaccharides -- 7.3.2 Disaccharides -- 7.3.3 BiOligo -- 7.3.4 NMR: A NMR Database of Bioactive Oligosaccharides -- 7.3.5 PolySac: A 3D Structural Database of Polysaccharides -- 7.3.6 GT: A 3D Structural Database of Glycosyltransferases -- 7.3.7 mABS: A 3D Structural Database of Monoclonal Antibodies Against Carbohydrates -- 7.3.8 GAG: 3D Structural Database of Glycosaminoglycan-Binding Proteins. , 7.3.9 LECTIN3D: A 3D Structural Database of Lectins -- 7.4 Sequence Search in the Whole Glyco-3D Portal -- 7.5 Conclusions -- References -- 8 GlycoGene Database (GGDB) on the Semantic Web -- 8.1 System Overview -- 8.2 User Interface -- 8.2.1 Top Page -- 8.2.2 Detail View -- 8.2.2.1 Detail View Overview -- 8.2.2.2 Overview, General Information -- 8.2.2.3 Orthologous Genes -- 8.2.2.4 Acceptor Substrates -- 8.2.2.5 Expression Information -- 8.2.2.6 Human Glycogene GatewayTM Entry Clone Information -- 8.3 Using GGDB Entries as Stanzas -- 8.4 Summary -- References -- 9 KEGG GLYCAN -- 9.1 KEGG Databases -- 9.1.1 KEGG Identifiers -- 9.1.2 KEGG Pathway Maps -- 9.1.3 Glycan Structure Maps -- 9.1.4 KEGG Modules -- 9.1.5 BRITE Hierarchies and Tables -- 9.1.6 KOs, GENES, and GENOME -- 9.1.7 Chemical Compounds, Glycans, and Reactions -- 9.1.8 Diseases and Drugs -- 9.2 KEGG and GenomeNet Tools -- 9.2.1 BlastKOALA -- 9.2.2 KEGG Mapper -- 9.2.3 Ortholog Table and Module Table -- 9.2.4 SSDB and BLAST -- 9.2.5 SIMCOMP and KCaM -- 9.3 KEGG GLYCAN Resource -- 9.3.1 Glycan-Specific Datasets -- 9.3.2 Linking Genes to Glycan Structures -- 9.3.3 Linking Glycans to Diseases -- References -- Part IV Glycoproteomics Data -- 10 Exploring the UniCarbKB Database -- 10.1 Introduction -- 10.1.1 What You Can Currently Find in UniCarbKB -- 10.1.2 Content-Driven Design -- 10.2 Browsing UniCarbKB -- 10.2.1 The UniCarbKB Front Page -- 10.2.2 Finding Taxonomic, Tissue and Glycoprotein Content -- 10.2.2.1 Taxonomy -- 10.2.2.2 Tissue -- 10.2.2.3 Protein and Protein Accession -- 10.2.2.4 Why Is the Autocomplete Useful? -- 10.2.3 Searching by Composition -- 10.2.4 GlycanBuilder and Searching for (Sub)Structures -- 10.2.4.1 Query by Structure -- 10.2.4.2 Glycan Structure Summary Page -- 10.2.4.3 Switching Between Symbol Nomenclatures -- 10.2.5 Exploring and Finding Curated References. , 10.2.5.1 Viewing Individual Publications -- 10.2.5.2 More About the `Biological Associations' -- 10.2.5.3 Inference and Confidence `Validation Methods' -- 10.2.6 Using the Glycoprotein Navigation Page to Find Global and Site-Specific Content -- 10.2.6.1 Viewing Glycoprotein Information -- 10.2.7 Information Available for Taxonomy and Tissue Searches -- 10.2.7.1 More About the Sidebar -- 10.2.7.2 `Connections' - What You Can Find Through UniCarbKB -- 10.3 Summary -- References -- 11 GlycoProtDB: A Database of Glycoproteins Mapped with Actual Glycosylation Sites Identified by Mass Spectrometry -- 11.1 Introduction -- 11.2 The Contents of GlycoProtDB -- 11.3 The Method to Collect Data on the Actual Glycosylation Sites -- 11.4 Construction of Data Resource from MS-Based Identification List of Glycopeptides -- 11.5 How to Use the Database, GlycoProtDB -- 11.6 Search -- 11.7 Search Results -- 11.8 Glycosylation Sites -- 11.9 Links to Other Databases -- 11.10 Download of Whole Data Resources -- References -- Part V Glycan Interactions -- 12 GlycoEpitope -- 12.1 Introduction -- 12.2 Features of GlycoEpitope -- 12.3 Web Interface -- 12.4 Search Tool -- 12.5 How to Operate the GlycoEpitope Database -- 12.5.1 To Find an Epitope Record from "List Epitopes" -- 12.5.2 To Find an Antibody Record from "List Antibodies" -- 12.5.3 Using Search Functions -- 12.5.3.1 Epitope Search Rules -- 12.5.3.2 Antibody Search Rules -- 12.5.3.3 Example of How to Search -- References -- 13 SugarBindDB -- 13.1 Introduction -- 13.2 Case Study 1 -- 13.2.1 Browsing Versus Querying the Database for Pathogens -- 13.2.1.1 Browsing -- 13.2.1.2 Searching -- 13.3 Case Study 2 -- 13.3.1 Search for a Pathogen, Visualise Related Structures and Explore Associations -- 13.4 Case Study 3 -- 13.4.1 Query with Multiple Criteria and Explore Associations -- 13.5 Case Study 4. , 13.5.1 Query with Multiple Pathogen Names, Visualise and Explore Binding Specificity.
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  • 2
    Online Resource
    Online Resource
    London :CRC Press LLC,
    Keywords: Bioinformatics. ; Glycoconjugates. ; Electronic books.
    Description / Table of Contents: Introduction to Glycobiology Roles of carbohydrates Glycan structures Glycan classes Glycan biosynthesis Glycan motifs Potential for drug discovery Background Glycan nomenclature Carbohydrate-carbohydrate interactions Databases Glycan structure databases Glyco-gene databases Lipid databases Lectin databases Others Glycome Informatics Terminology and notations Algorithmic techniques Bioinformatic methods Data mining techniques Glycomics tools Potential Research Projects Sequence and structural analyses Databases and techniques to integrate heterogeneous data sets Automated characterization of glycan structures from MS spectra Prediction of glycan structures from data other than MS spectra Biomarker prediction Systems analyses Drug discovery Appendix A: Sequence Analysis Methods Pairwise sequence alignment (dynamic programming) Amino acid score matrix BLOSUM (BLOcks Substitution Matrix) Appendix B: Machine Learning Methods Kernel methods and SVMs Hidden Markov models Appendix C: Glycomics Technologies Mass spectrometry (MS) Nuclear magnetic resonance (NMR).
    Type of Medium: Online Resource
    Pages: 1 online resource (263 pages)
    Edition: 1st ed.
    ISBN: 9781420083361
    Series Statement: Chapman and Hall/CRC Mathematical and Computational Biology Series
    DDC: 572/.567
    Language: English
    Note: Cover -- Half Title -- Series Page -- Published Titles -- Title Page -- Copyright Page -- Contents -- List of Tables -- List of Figures -- About the Author -- 1 Introduction to Glycobiology -- 1.1 Roles of carbohydrates -- 1.2 Glycan structures -- 1.3 Glycan classes -- 1.4 Glycan biosynthesis -- 1.4.1 N-linked glycans -- 1.4.2 O-linked glycans -- 1.4.3 Glycosaminoglycans (GAGs) -- 1.4.4 Glycosphingolipids (GSLs) -- 1.4.5 GPI anchors -- 1.4.6 LPS -- 1.5 Glycan motifs -- 1.6 Potential for drug discovery -- 2 Background -- 2.1 Glycan nomenclature -- 2.1.1 InChI™ -- 2.1.2 (Extended) IUPAC format -- 2.1.3 CarbBank format -- 2.1.4 KCF format -- 2.1.5 LINUCS format -- 2.1.6 BCSDB format -- 2.1.7 Linear Code® -- 2.1.8 GlycoCT format -- 2.1.9 XML representations -- 2.2 Lectin-glycan interactions -- 2.2.1 Families and types of lectins -- 2.2.2 Carbohydrate-binding mechanism of lectins -- 2.3 Carbohydrate-carbohydrate interactions -- 3 Databases -- 3.1 Glycan structure databases -- 3.1.1 KEGG GLYCAN -- 3.1.2 GLYCOSCIENCES.de -- 3.1.3 CFG -- 3.1.4 BCSDB -- 3.1.5 GLYCO3D -- 3.1.6 MonoSaccharideDB -- 3.1.7 GlycomeDB -- 3.2 Glyco-gene databases -- 3.2.1 KEGG BRITE -- 3.2.2 CFG -- 3.2.3 GGDB -- 3.2.4 CAZy -- 3.3 Lipid databases -- 3.3.1 SphingoMAP© -- 3.3.2 LipidBank -- 3.3.3 LMSD -- 3.4 Lectin databases -- 3.4.1 Lectines -- 3.4.2 Animal Lectin DB -- 3.5 Others -- 3.5.1 GlycoEpitopeDB -- 3.5.2 ECODAB -- 3.5.3 SugarBindDB -- 4 Glycome Informatics -- 4.1 Terminology and notations -- 4.2 Algorithmic techniques -- 4.2.1 Tree structure alignment -- 4.2.2 Linkage analysis using score matrices -- 4.2.3 Glycan variation map -- 4.3 Bioinformatic methods -- 4.3.1 Glycan structure prediction from glycogene microarrays -- 4.3.2 Glyco-gene sequence and structure analysis -- 4.3.3 Glyco-related pathway analysis -- 4.3.4 Mass spectral data annotation. , 4.4 Data mining techniques -- 4.4.1 Kernel methods -- 4.4.2 Frequent subtree mining -- 4.4.3 Probabilistic models -- 4.5 Glycomics tools -- 4.5.1 Visualization tools -- 4.5.2 Pathway analysis tools -- 4.5.3 PDB data analysis -- 4.5.4 3D analysis tools -- 4.5.5 Molecular dynamics -- 4.5.6 Spectroscopic tools -- 4.5.7 NMR tools -- 5 Potential Research Projects -- 5.1 Sequence and structural analyses -- 5.1.1 Glycan score matrix -- 5.1.2 Visualization -- 5.2 Databases and techniques to integrate heterogeneous data sets -- 5.3 Automated characterization of glycans from MS data -- 5.4 Prediction of glycans from data other than MS -- 5.5 Biomarker prediction -- 5.6 Systems analyses -- 5.7 Drug discovery -- A Sequence Analysis Methods -- A.1 Pairwise sequence alignment (dynamic programming) -- A.1.1 Dynamic programming -- A.1.2 Sequence alignment -- A.2 BLOSUM (BLOcks Substitution Matrix) -- B Machine Learning Methods -- B.1 Kernel methods and SVMs -- B.2 Hidden Markov models -- B.2.1 The three problems of interest for HMMs -- B.2.2 Expectation-Maximization (EM) algorithm -- B.2.3 Hidden tree Markov models -- B.2.4 Profile Hidden Markov models (profile HMMs) -- C Glycomics Technologies -- C.1 Mass spectrometry (MS) -- C.1.1 MALDI-MS -- C.1.2 FT-ICR -- C.1.3 LC-MS (HPLC) -- C.1.4 Tandem MS -- C.2 Nuclear magnetic resonance (NMR) -- References -- Index.
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  • 3
    Online Resource
    Online Resource
    Singapore :Springer Singapore Pte. Limited,
    Keywords: Glycomics. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (399 pages)
    Edition: 1st ed.
    ISBN: 9789811358562
    DDC: 572.56
    Language: English
    Note: Intro -- Preface -- Introduction -- Contents -- Part I: Future Technological Advances to Elucidate the Structures and Functions of Glycans -- Foreword -- Chapter 1: Structural Analysis of Glycans (Analytical and Detection Methods) -- 1.1 Liquid Chromatography/Mass Spectrometry (LC-MS) -- 1.2 Ion Mobility-Mass Spectrometry(IM-MS) -- 1.3 Current Status and Future of the Automated Glycan Analysis Technologies -- 1.4 Glycoproteomics -- 1.5 O-Glycome Analysis of Glycoproteins -- 1.6 Glycolipidomics -- 1.7 Glycometabolome -- 1.8 Glyco-array -- 1.9 Glycolipid Array -- 1.10 Lectin Blotting -- 1.11 Lectin Engineering -- 1.12 Recognition of iPS/ES Cells by Glycan-Binding Antibodies -- 1.13 The EMARS Method -- References -- References for Section 1.1 -- References for Section 1.2 -- References for Section 1.3 -- References for Section 1.4 -- References for Section 1.5 -- References for Section 1.6 -- References for Section 1.7 -- References for Section 1.8 -- References for Section 1.9 -- References for Section 1.10 -- References for Section 1.11 -- References for Section 1.12 -- References for Section 1.13 -- Chapter 2: Structural Biology of Glycans -- 2.1 Study of Glycan Structure and Its Recognition Mechanism by Cryo-electron Microscope Single Particle Analysis -- 2.2 Conformational Analysis of Oligosaccharides -- 2.3 Conformational Analysis of Glycans -- 2.4 Computational Science (Supercomputer) and AI (Artificial Intelligence) -- 2.5 Structural Study of Proteins in the Glycoscience Field -- 2.6 Structural Analysis of Sugar Related Proteins -- 2.7 Simulation and Imaging of Membranes -- 2.8 Simulation/Imaging of Membranes -- 2.9 Molecular Imaging of Cells and Organisms Using Labeled Glycans -- 2.10 Diagnosis and Imaging Using Labeled Glycans in Cells and Organisms. , 2.11 Glycoconjugates and Glycoclusters as New Drug Delivery Molecules for In Vivo Molecular Imaging and Theranostics -- 2.12 Imaging Mass Spectrometry (IMS) -- References -- References for Section 2.1 -- References for Section 2.2 -- References for Section 2.3 -- References for Section 2.4 -- References for Section 2.5 -- References for Section 2.6 -- References for Section 2.7 -- References for Section 2.8 -- References for Section 2.9 -- References for Section 2.10 -- References for Section 2.11 -- References for Section 2.12 -- Chapter 3: Chemical and Enzymatic Synthesis and Production of Glycans -- 3.1 Synthetic Glycans -- 3.2 Recent Progress and Perspective on Automated Synthesis of Oligosaccharides -- 3.3 New Synthetic Methods for Standard Glycans: Glycoproteins -- 3.4 New Synthetic Methods for Standard Glycans: N-Glycans -- 3.5 New Synthetic Methods for Standard Glycans: Glycolipids -- 3.6 New Synthetic Methods for Standard Glycans: Neo-Glycoconjugates -- 3.7 New Synthetic Methods of Standard Glycans: GPI -- 3.8 New Synthetic Methods for Standard Glycans: GAG -- 3.9 New Synthetic Methods of Standard Glycans: Glycopeptides -- References -- References for Section 3.1 -- References for Section 3.2 -- References Section for 3.3 -- References for Section 3.4 -- References for Section 3.5 -- References Section for 3.6 -- References Section for 3.7 -- References Section for 3.8 -- References Section for 3.9 -- Chapter 4: Technologies to Elucidate Functions of Glycans -- 4.1 Genetically Modified Mice: Glycolipids -- 4.2 Genetically Modified Mouse:Glycolipids -- 4.3 Genetically Modified Mice: Glycosphingolipid Synthases -- 4.4 Genetically Modified Mice: Glycoproteins -- 4.5 Genetically Modified Mice: Glycosaminoglycans (GAGs) -- 4.6 Mice with Genetic Mutations in the Glycosaminoglycan Biosynthetic Pathway -- 4.7 Drosophila melanogaster. , 4.8 Caenorhabditis elegans, the Nematode Worm -- 4.9 Medaka and Zebrafish (Small Fish as Experimental Models) -- 4.10 Gene Modification: Small Fish (Zebrafish and Medaka) -- 4.11 Genetically Modified Small Fish (Zebrafish and Medaka) -- 4.12 Genetic Modification: Small Fish (Zebrafish and Medaka) -- 4.13 Plant and Glycans -- 4.14 Plant and Glycan -- 4.15 Genetic Modification of Yeast -- 4.16 Chemical Library -- References -- References for Section 4.1 -- References for Section 4.2 -- References for Section 4.3 -- References for Section 4.4 -- References for Section 4.5 -- References for Section 4.6 -- References for Section 4.7 -- References for Section 4.8 -- References for Section 4.9 -- References for Section 4.10 -- References for Section 4.11 -- References for Section 4.12 -- References for Section 4.13 -- References for Section 4.14 -- References for Section 4.15 -- References for Section 4.16 -- Part II: Glycans and Biopharmaceuticals -- Foreword -- Chapter 5: Antibody Pharmaceuticals -- 5.1 Biosimilar/Follow-On and Biobetter Biologics -- 5.2 Quality Evaluation of Glycoprotein Products Using Glycoprotein with Homogeneous Glycans -- References -- References for Section 5.1 -- References for Section 5.2 -- Chapter 6: Standard Glycan Library -- 1.1 Human-Type Glycan Library -- References -- Chapter 7: Mass Production in Silk Worm and Yeast -- 7.1 Glycoprotein Production with Yeast -- 7.2 Mass Production of Glycoproteins Using Silkworms -- References -- References for Section 7.1 -- References for Section 7.2 -- Chapter 8: Glycoengineering -- 8.1 Chemistry-Based Engineering -- 8.2 Tools for Glycoengineering: Key Enzymes -- 8.3 Therapeutic Antibody (ADCC) -- 8.4 Antibody-Drug Conjugates (ADCs) -- 8.5 Lectin-Drug Conjugates (LDCs) -- 8.6 Polysaccharide-Based Drug Delivery System: A New Approach Involving Use of β-Glucan/DNA Complexes. , 8.7 Remodeling of Glycoantigens in Bio-Artificial Organs/Tissues -- 8.8 Therapeutic Potential of Carbohydrate Mimetic Peptides Composed of D-Type Amino Acids -- References -- References for Section 8.1 -- References for Section 8.2 -- References for Section 8.3 -- References for Section 8.4 -- References for Section 8.5 -- References for Section 8.6 -- References for Section 8.7 -- References for Section 8.8 -- Chapter 9: Glycomimetics -- 9.1 Selectin Inhibitors -- 9.2 Development of Siglec Regulators -- 9.3 Galectin Inhibitors -- 9.4 Inhibitors of Glycolsyltransferases -- References -- References for Section 9.1 -- References for Section 9.2 -- References for Section 9.3 -- References for Section 9.4 -- Chapter 10: Glycan Vaccine -- 10.1 Microbial Glycans and Immune-Response -- 10.2 Pathogen-Derived Glycolipids -- 10.3 Carbohydrate-Based Vaccines -- References -- References for Section 10.1 -- References for Section 10.2 -- References for Section 10.3 -- Part III: Sugar Chains (Glycans) Involved in Medical Science and Medical Care -- Foreword -- Chapter 11: Glycan Function in Development and its Regulation -- 11.1 Roles of Glycans in Development, Evolution and Stem Cells -- 11.2 A Characteristic Glycan Profile of Stem Cells -- 11.3 Epigenetics of Glyco-Genes -- 11.4 Epigenetic Regulation of Glyco-Genes -- 11.5 Posttranscriptional Regulation of Glycan Expression by MicroRNA -- 11.6 Drug Resistance -- 11.7 Secretion and Uptake of Exosomes Via Glycan -- References -- References for Section 11.1 -- References for Section 11.2 -- References for Section 11.3 -- References for Section 11.4 -- References for Section 11.5 -- References for Section 11.6 -- References for Section 11.7 -- Chapter 12: Glycans in Nervous System -- 12.1 Schizophrenia (Polysialic Acid) -- 12.2 Schizophrenia -- 12.3 Spinal Cord Injury -- 12.4 Microglia -- References. , References for Section 12.1 -- References for Section 12.2 -- References for Section 12.3 -- References for Section 12.4 -- Chapter 13: Glycans in Osseous Tissue and Articulation -- 13.1 Bone Diseases -- 13.2 Arthritis -- References -- References for Section 13.1 -- References for Section 13.2 -- Chapter 14: Glycans in Infection and Immunity -- 14.1 Influenza Virus -- 14.2 Recent Research Topics of Influenza -- 14.3 Pathogens and GPI Anchors -- 14.4 Sugar Chain-Mediated Interaction Between Microbes and Higher Animals -- 14.5 Current Status and Future Directions of Study on Glycosylation for Gut Microbiota and the Mucosal Immune Network -- 14.6 Carbohydrate-Mediated Interactions Between Microbial and Higher Animal Cells (Fungi) -- 14.7 Plasmodium and Protozoa in General -- 14.8 GPI Anchor Deficiencies -- 14.9 Defense Mechanism -- 14.10 Siglecs -- 14.11 Collectins -- 14.12 Autoimmune Disease, Immunosuppressive Drugs -- References -- References for Section 14.1 -- References for Section 14.2 -- References for Section 14.3 -- References for Section 14.4 -- References for Section 14.5 -- References for Section 14.6 -- References for Section 14.7 -- References for Section 14.8 -- References for Section 14.9 -- References for Section 14.10 -- References for Section 14.11 -- References for Section 14.12 -- Chapter 15: Next Generation Medical Care -- 15.1 Roles of Glycoscience in Development of Personalized Medicine and Rational Medical Practices -- 15.2 Health Monitoring -- 15.3 Presymptomatic Diagnosis, Particularly for Dementia, Cancer and Hydrocephalous -- 15.4 Core Technologies for Elucidating the Role of Glycans in Disease -- References -- References for Section 15.1 -- References for Section 15.2 -- References for Section 15.3 -- References for Section 15.4 -- Chapter 16: Life-Style Related Disease and Aging -- 16.1 Diabetes -- 16.2 Obesity. , 16.3 Chronic Obstructive Pulmonary Disease(COPD).
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  • 4
    Keywords: Biochemistry ; Medicine ; Pharmaceutical Sciences/Technology ; Pharmaceutical technology ; Medical genetics ; Molecular biology. ; Medical biochemistry. ; Polysaccharides ; Glycosylation
    Description / Table of Contents: Introducion -- Part. 1. Future technological advances to elucidate the structures and functions of glycans -- Chapter 1. Structural analysis of glycans (analytical and detection methods) -- Chapter 2. Structural biology of glycans -- Chapter 3. Chemical and enzymatic synthesis and production of glycans -- Chapter 4. Technologies to elucidate functions of glycans -- Part 2. Glycans and biopharmaceuticals -- Chapter 1. Antibody pharmaceuticals -- Chapter 2. Standard glycan library -- Chapter 3. Mass production in silk worm and yeast -- Chapter 4. Glycoengineering -- Chapter 5. Glycomimetics -- Chapter 6. Glycan vaccine -- Part 3. Sugar chains (Glycans) involved in medical science and medical care -- Chapter 1. Glycan function in development and evolution -- Chapter 2. Glycans in nervous system -- Chapter 3. Glycans in osseous tissue and articulation -- Chapter 4. Glycans in infection and immunity -- Chapter 5. Next generation medical care -- Chapter 6. Life-style related disease and aging -- Chapter 7. Congenital disorders of glycosylation (CDG), neuromuscular related diseases -- Chapter 8. Glycan biomarkers for cancer and various disease -- Part 4. Food implicated in glycans and its function -- Part 5. Glycan-related materials and their use for biomaterials -- Part 6. Educational materials and training for glycosciences
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (XV, 405 p. 133 illus., 104 illus. in color)
    Edition: 1st ed. 2019
    ISBN: 9789811358562
    Series Statement: Springer eBooks
    Language: English
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  • 5
    Publication Date: 2017-01-30
    Description: The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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