Glycoinformatics

Matthew P. Campbell; Kiyoko F. Aoki-Kinoshita; Frederique Lisacek; William S. York; Nicolle H. Packer

doi:10.1101/glycobiology.3e.052

Glycoinformatics

Review

In: Essentials of Glycobiology [Internet]. 3rd edition. Cold Spring Harbor (NY): Cold Spring Harbor Laboratory Press; 2015. Chapter 52.

2017.

Authors

Matthew P. Campbell, Kiyoko F. Aoki-Kinoshita, Frederique Lisacek, William S. York, Nicolle H. Packer

Book Editors

Book Affiliations

¹ Distinguished Professor of Medicine and Cellular & Molecular Medicine, Co-Director, Glycobiology Research and Training Center, University of California, San Diego, La Jolla, California, USA
² Professor of Surgery, Director, National Center for Functional Glycomics, Harvard Medical School, Cambridge, Massachusetts, USA
³ Distinguished Professor of Cellular & Molecular Medicine, Co-Director, Glycobiology Research and Training Center, University of California, San Diego, La Jolla, California, USA
⁴ Horace W. Goldsmith Foundation Chair and Professor of Cell Biology, Albert Einstein College of Medicine, New York, New York, USA
⁵ Professor and Chairman of Biological Chemistry, Johns Hopkins University, Baltimore, Maryland, USA
⁶ Professor of Mycology, ETH Zürich, Zürich, Switzerland
⁷ Regents Professor and Director, Complex Carbohydrate Research Center, University of Georgia, Athens, Georgia, USA
⁸ Professor, Laboratory of Immunoglycobiology, WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
⁹ Professor of Glycoproteomics and Glycomics, Macquarie University and Institute for Glycomics, Griffith University, Sydney, Australia
¹⁰ Professor and Eminent Scholar, University of Georgia, Athens, Georgia, USA
¹¹ Professor, Departments of Pharmacology and Neuroscience, Johns Hopkins University, Baltimore, Maryland, USA
¹² Director, Max-Planck-Institute of Colloids and Interfaces, Potsdam, Germany

Excerpt

Previous chapters have described how glycans are not directly encoded by genes and that they are biosynthetically and structurally complex. The identity of each glycan in a biological sample must be identified using analytical methods to determine these diverse structural features. As a consequence, research aimed at understanding the biological roles and consequences of glycan structures depends on the availability of databases that allow these structures to be defined, archived, organized, searched, annotated, and linked to other databases with related genomic and proteomic information. This chapter describes the current status of collecting, organizing, and extending data from existing user-entered glycan structure and function databases.

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