GlyGen: Computational and Informatics Resources for Glycoscience

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Author(s)
York, William S
Mazumder, Raja
Ranzinger, Rene
Edwards, Nathan
Kahsay, Robel
Aoki-Kinoshita, Kiyoko F
Campbell, Matthew P
Cummings, Richard D
Feizi, Ten
Martin, Maria
Natale, Darren A
Packer, Nicolle H
Woods, Robert J
Agarwal, Gaurav
Arpinar, Sena
Bhat, Sanath
Blake, Judith
Castro, Leyla Jael Garcia
Fochtman, Brian
Gildersleeve, Jeffrey
Goldman, Radoslav
Holmes, Xavier
Jain, Vinamra
Kulkarni, Sujeet
Mahadik, Rupali
Mehta, Akul
Mousavi, Reza
Nakarakommula, Sandeep
Navelkar, Rahi
Pattabiraman, Nagarajan
Pierce, Michael J
Ross, Karen
Vasudev, Preethi
Vora, Jeet
Williamson, Tatiana
Zhang, Wenjin
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2020
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Abstract

Methods to obtain data relevant to glycobiology are rapidly evolving, thereby providing enormous opportunities to significantly increase knowledge, insight, and understanding in this important domain. Nevertheless, progress in this field is compromised by the lack of glycoinformatics databases and tools that combine information from related disciplines, including genetics, proteomics, pathology, etc. GlyGen is an international initiative funded by the National Institutes of Health Common Fund (Contract #1U01GM125267–01) and aimed at developing an integrated, extendable, and cross-disciplinary resource, which provides tools and data to address glycoscience questions that can currently be answered only by extensive literature-based research and manual browsing and data collection from diverse resources. Here, we announce the release of the GlyGen Portal (https://www.glygen.org), which provides a user-friendly interface that facilitates exploration of glycoscience data in the context of other information that we have compiled, harmonized, and integrated from diverse international bioinformatics resources, including the National Center for Biotechnology Information (NCBI), UniProt, the Protein Data Bank (PDB), UniCarbKB, and the GlyTouCan glycan structure repository.

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Glycobiology

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30

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2

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Biological sciences

Biomedical and clinical sciences

Science & Technology

Life Sciences & Biomedicine

Biochemistry & Molecular Biology

glycoinformatics

database

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Citation

York, et al,, GlyGen: Computational and Informatics Resources for Glycoscience, Glycobiology, 2020, 30 (2), pp. 72-73

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