2008
DOI: 10.1002/prot.22237
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The crystal structure and identification of NQM1/YGR043C, a transaldolase from Saccharomyces cerevisiae

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Cited by 24 publications
(18 citation statements)
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“…2). These catalytic sites are believed to be responsible for Schiff-base formation and aldose cleavage (15,16). The single amino acid difference was that a serine, an amino acid residue responsible for substrate-binding in ascomycetous yeast, was substituted with a glycine in M. megachiliensis (Fig.…”
Section: Discussionmentioning
confidence: 97%
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“…2). These catalytic sites are believed to be responsible for Schiff-base formation and aldose cleavage (15,16). The single amino acid difference was that a serine, an amino acid residue responsible for substrate-binding in ascomycetous yeast, was substituted with a glycine in M. megachiliensis (Fig.…”
Section: Discussionmentioning
confidence: 97%
“…These results suggest the importance of the transaldolase isoform for oxidoereduction balance through the glycolytic and pentose phosphate pathways in living cells (12,19). However, the function of the other isoform, NQM1, remains unclear (16).…”
mentioning
confidence: 95%
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“…TAL1 encodes a transaldolase which catalyses a reaction in the non-oxidative phase of the PPP, and in concordance with the screen results, deletion of this gene does not alter sensitivity to TMPyP4. This suggests that either the reaction Tal1 catalyses can be sufficiently carried out by a functional homologue (such as Nqm1 [29]) or that TAL1 deletion does not result in metabolic changes that cause TMPyP4-sensitivity.…”
Section: Resultsmentioning
confidence: 99%
“…The automatic understanding of a sentence requires from the web agent different types of abilities: recognizing words and associating them with lexical information (morphological analysis); structure the sentence with a grammar (parsing), understand the sentence with semantic rules (semantic analysis) and take into account the context (pragmatic analysis). Huangs [20] has shown that the performances of syntactic similarity based on the Jaccard index and the Dice index are very close and that they are significantly better than those of the Euclidean distance and the Levenshtein distance. The distance from Levenshtein is widely used in linguistics and bioinformatics as well as for the recognition of text blocks.…”
Section: Similarity Measures Between Sentencesmentioning
confidence: 99%