| HANSEN, Sara, Emmanuel BETTLER, Michaela WIMMEROVÁ, Anne IMBERTY, Olivier LEROUXEL a Christelle BRETON. Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis. Journal of Proteome Research. Washington, USA: ACS, 2009, roč. 8, č. 2, s. 743-753. ISSN 1535-3893. |
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@article{842445,
author = {Hansen, Sara and Bettler, Emmanuel and Wimmerová, Michaela and Imberty, Anne and Lerouxel, Olivier and Breton, Christelle},
article_location = {Washington, USA},
article_number = {2},
keywords = {fold recognition; glycosyltransferase},
language = {eng},
issn = {1535-3893},
journal = {Journal of Proteome Research},
title = {Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis},
volume = {8},
year = {2009}
}
TY - JOUR
ID - 842445
AU - Hansen, Sara - Bettler, Emmanuel - Wimmerová, Michaela - Imberty, Anne - Lerouxel, Olivier - Breton, Christelle
PY - 2009
TI - Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis
JF - Journal of Proteome Research
VL - 8
IS - 2
SP - 743-753
EP - 743-753
PB - ACS
SN - 15353893
KW - fold recognition
KW - glycosyltransferase
N2 - Approximately 450 glycosyltransferase (GT) sequences have been already identified in the Arabidopsis genome that organize into 40 sequence-based families, but a vast majority of these gene products remain biochemically uncharacterized open reading frames. Given the complexity of the cell wall carbohydrate network, it can be inferred that some of the biosynthetic genes have not yet been identified by classical bioinformatics approaches. With the objective to identify new plant GT genes, we designed a bioinformatic strategy that is based on the use of several remote homology detection methods that act at the 1D, 2D, and 3D level. Together, these methods led to the identification of more than 150 candidate protein sequences. Among them, 20 are considered as putative glycosyltransferases that should further be investigated since known GT signatures were clearly identified.
ER -
HANSEN, Sara, Emmanuel BETTLER, Michaela WIMMEROVÁ, Anne IMBERTY, Olivier LEROUXEL a Christelle BRETON. Combination of several bioinformatics approaches for the identification of new putative glycosyltransferases in Arabidopsis. \textit{Journal of Proteome Research}. Washington, USA: ACS, 2009, roč.~8, č.~2, s.~743-753. ISSN~1535-3893.
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