| WIMMEROVÁ, Michaela, Soren B. ENGELSEN, Emmanuel BETTLER, Christelle BRETON a Anne IMBERTY. Combining fold recognition and exploratory data analysis for searching for glycosyltransferases in the genome of Mycobacterium tuberculosis. Biochimie. Elsevier, 2003, roč. 85, č. 7, s. 691-700. ISSN 0300-9084. |
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@article{488310,
author = {Wimmerová, Michaela and Engelsen, Soren B. and Bettler, Emmanuel and Breton, Christelle and Imberty, Anne},
article_number = {7},
keywords = {Glycosyltransferase; Mycobacterium; Fold recognition; Chemometrics},
language = {eng},
issn = {0300-9084},
journal = {Biochimie},
title = {Combining fold recognition and exploratory data analysis for searching for glycosyltransferases in the genome of Mycobacterium tuberculosis},
volume = {85},
year = {2003}
}
TY - JOUR
ID - 488310
AU - Wimmerová, Michaela - Engelsen, Soren B. - Bettler, Emmanuel - Breton, Christelle - Imberty, Anne
PY - 2003
TI - Combining fold recognition and exploratory data analysis for searching for glycosyltransferases in the genome of Mycobacterium tuberculosis
JF - Biochimie
VL - 85
IS - 7
SP - 691-700
EP - 691-700
PB - Elsevier
SN - 03009084
KW - Glycosyltransferase
KW - Mycobacterium
KW - Fold recognition
KW - Chemometrics
N2 - Fold recognition was applied to the systematic analysis of the all sequences encoded by the genome of Mycobacterium tuberculosis H37Rv in order to identify new putative glycosyltransferases. The search was conducted against a library composed of all known crystal structures of glycosyltransferases and some related proteins. A clear relationship appeared between some sequences and some folds. It appears necessary to complete the fold recognition approach with a statistical approach in order to identify the relevant data above the background noise. Exploratory data analysis was carried out using several methods. Analytical methods confirmed the validity of the approach, while predictive methods, although very preliminary in the present case, allowed for identifying a number of sequences of interest that should be further investigated. This new approach combining bioinformatics and chemometrics appears to be a powerful tool for analysis of newly sequenced genomes. Its application to glycobiology is of great interest.
ER -
WIMMEROVÁ, Michaela, Soren B. ENGELSEN, Emmanuel BETTLER, Christelle BRETON a Anne IMBERTY. Combining fold recognition and exploratory data analysis for searching for glycosyltransferases in the genome of Mycobacterium tuberculosis. \textit{Biochimie}. Elsevier, 2003, roč.~85, č.~7, s.~691-700. ISSN~0300-9084.
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