2005
DOI: 10.1016/j.tube.2004.09.005
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Analyzing Mycobacterium tuberculosis proteomes for candidate vaccine epitopes

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Cited by 77 publications
(45 citation statements)
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“…New approaches to identifying genes from completed M. leprae genome sequences are being applied using standardized bioinformatics tools (253). These tools can identify proteins with special features, such as unique or shared amino acid sequence homologies with proteins of M. tuberculosis or other mycobacterial species, and the presence of specialized peptide signatures suggesting their cellular location and possible secretion across the cell membrane.…”
Section: Prevention: the Quest For A Leprosy Vaccinementioning
confidence: 99%
“…New approaches to identifying genes from completed M. leprae genome sequences are being applied using standardized bioinformatics tools (253). These tools can identify proteins with special features, such as unique or shared amino acid sequence homologies with proteins of M. tuberculosis or other mycobacterial species, and the presence of specialized peptide signatures suggesting their cellular location and possible secretion across the cell membrane.…”
Section: Prevention: the Quest For A Leprosy Vaccinementioning
confidence: 99%
“…One of the unique features of this algorithm is that allele-specific scores are normalized, making it possible to compare scores of any 9-mer across multiple HLA alleles and enabling a more broad assessment of predicted immunogenicity [36]. The predictive value of this algorithm has been extensively tested and is supported by published in vitro and in vivo studies [40, [45][46][47][48][49][50].…”
Section: In Silico Analysis Toolsmentioning
confidence: 99%
“…The protective response was superior to that of the mature protein without the SP and was highly specific, as frameshift mutation in the Ag2/PRA SP sequence abolishes the specific activity (27). McMurry et al identified an M. tuberculosis-originated, SP-derived sequence that induced IFN-␥ secretion in a large percentage of PBMC taken from M. tuberculosis-immune subjects (31).…”
Section: Discussionmentioning
confidence: 99%