Glycosyltransferase prediction in Mycobacterium tuberculosis genome by threading
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F02%3A00007106" target="_blank" >RIV/00216224:14310/02:00007106 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Glycosyltransferase prediction in Mycobacterium tuberculosis genome by threading
Original language description
Mycobacterium tuberculosis is a intracellular pathogen of the alveolar macrophages in lung resistant to most common antibiotics and chemotherapeutic agents. This resistance is related to its unusual and well-organized cell wall that contains the unique structures of branched and complex polysaccharides and glycolipids. The main cell wall constituents are known but there is only little information about the key enzymes in their biosynthesis, glycosyltransferases (GT). The genome of M. tuberculosis contains 3,951 protein-coding sequences. Putative function annotation of some of them was predicted using a combination of sequence alignment and motif comparison. Using this approach, only a small number of putative GTs was identified. Recently, only nine crystal structures of GTs have been solved. There is very low sequence similarity among them and they belong to different family groups. On the other hand, solving of their crystal structures demonstrated that they adopt only two basic 3D-fo
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
CE - Biochemistry
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
3rd International Symposium on Glycosyltransferases
ISBN
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ISSN
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e-ISSN
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Number of pages
1
Pages from-to
112
Publisher name
Lund University
Place of publication
Stockholm
Event location
September 19 - 22, Djuronaset, Stockholm, Sweden
Event date
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Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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