ArticleDatabase : the journal of biological databases and curation2015
Carbohydrate Structure Database: tools for statistical analysis of bacterial, plant and fungal glycomes.
Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- In vivo manipulation of human gut Bacteroides fitness by abiotic oligosaccharides.Nature chemical biology · 2025Article
- Current status of PTMs structural databases: applications, limitations and prospects.Amino acids · 2022Review
- Source files of the Carbohydrate Structure Database: the way to sophisticated analysis of natural glycans.Scientific data · 2022Article
- Examining the diversity of structural motifs in fungal glycome.Computational and structural biotechnology journal · 2022Article
- Comparison of Methods for Bulk Automated Simulation of Glycosidic Bond Conformations.International journal of molecular sciences · 2020Article
- Ingestion of Non-digestible Carbohydrates From Plant-Source Foods and Decreased Risk of Colorectal Cancer: A Review on the Biological Effects and the Mechanisms of Action.Frontiers in nutrition · 2019Review
- Carbohydrate structure database merged from bacterial, archaeal, plant and fungal parts.Nucleic acids research · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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