Genome-Wide Analysis of Whole Human Glycoside Hydrolases by Data-Driven Analysis in Silico.
glycan
glycoside hydrolase
phylogenetic profiling
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
13 Dec 2019
13 Dec 2019
Historique:
received:
20
11
2019
revised:
10
12
2019
accepted:
11
12
2019
entrez:
19
12
2019
pubmed:
19
12
2019
medline:
29
4
2020
Statut:
epublish
Résumé
Glycans are involved in various metabolic processes via the functions of glycosyltransferases and glycoside hydrolases. Analysing the evolution of these enzymes is essential for improving the understanding of glycan metabolism and function. Based on our previous study of glycosyltransferases, we performed a genome-wide analysis of whole human glycoside hydrolases using the UniProt, BRENDA, CAZy and KEGG databases. Using cluster analysis, 319 human glycoside hydrolases were classified into four clusters based on their similarity to enzymes conserved in chordates or metazoans (Class 1), metazoans (Class 2), metazoans and plants (Class 3) and eukaryotes (Class 4). The eukaryote and metazoan clusters included
Identifiants
pubmed: 31847093
pii: ijms20246290
doi: 10.3390/ijms20246290
pmc: PMC6940844
pii:
doi:
Substances chimiques
Glycoside Hydrolases
EC 3.2.1.-
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : MEXT-Supported Program for the Strategic Research Foundation at Private Universities (2015-2019)
ID : NA
Organisme : Takeda Science Foundation
ID : NA
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