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Database (Oxford). 2015 Sep 3;2015. pii: bav073. doi: 10.1093/database/bav073. Print 2015.

Carbohydrate Structure Database: tools for statistical analysis of bacterial, plant and fungal glycomes.

Author information

1
N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninskiy prospect 47, 119991 Moscow, Russia.
2
N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Leninskiy prospect 47, 119991 Moscow, Russia netbox@toukach.ru.

Abstract

Carbohydrates are biological blocks participating in diverse and crucial processes both at cellular and organism levels. They protect individual cells, establish intracellular interactions, take part in the immune reaction and participate in many other processes. Glycosylation is considered as one of the most important modifications of proteins and other biologically active molecules. Still, the data on the enzymatic machinery involved in the carbohydrate synthesis and processing are scattered, and the advance on its study is hindered by the vast bulk of accumulated genetic information not supported by any experimental evidences for functions of proteins that are encoded by these genes. In this article, we present novel instruments for statistical analysis of glycomes in taxa. These tools may be helpful for investigating carbohydrate-related enzymatic activities in various groups of organisms and for comparison of their carbohydrate content. The instruments are developed on the Carbohydrate Structure Database (CSDB) platform and are available freely on the CSDB web-site at http://csdb.glycoscience.ru. Database URL: http://csdb.glycoscience.ru.

PMID:
26337239
PMCID:
PMC4559136
DOI:
10.1093/database/bav073
[Indexed for MEDLINE]
Free PMC Article

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