A strategy for the identification of T-cell epitopes on Leishmania cysteine proteinases

In this study computational analysis was used to compile sequence alignments, construct a dendrogram and calculate physical data in order to predict potential T-cell epitopes of the Leishmania cysteine proteinase. Using multiple alignment of human and Leishmania proteinase sequences deposited on dat...

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Bibliographic Details
Published inCytobios Vol. 104; no. 405; p. 33
Main Authors Alves, C R, Pontes de Carvalho, L C, Souza, A L, De Simone, S G
Format Journal Article
LanguageEnglish
Published England 2001
Subjects
Algorithms
Amino Acid Sequence
Animals
Cysteine Endopeptidases - immunology
Databases, Factual
Epitopes, T-Lymphocyte - chemistry
Humans
Leishmania - enzymology
Leishmania - immunology
Leishmaniasis - immunology
Leishmaniasis - pathology
Lymphocyte Activation - drug effects
Peptides - chemical synthesis
Peptides - immunology
Peptides - pharmacology
Sequence Alignment
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Summary:In this study computational analysis was used to compile sequence alignments, construct a dendrogram and calculate physical data in order to predict potential T-cell epitopes of the Leishmania cysteine proteinase. Using multiple alignment of human and Leishmania proteinase sequences deposited on data bank sequences, it was possible to predict that the extreme C-terminus of cysteine proteinase (Cyspep, 355-444) contained three peptides (pI 361-370, pII 415-422 and pIII 431-444) with charge score, hydrophobicity and isoelectric points compatible for human leucocyte-associated antigen (HLA) class II binding. The prediction was confirmed in vitro through the ability of synthetic peptides corresponding to the predicted regions to stimulate peripheral blood mononuclear cells of patients with leishmaniasis.
ISSN:0011-4529