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Insights from the analysis of a predicted model of gp63 in Leishmania donovani

Leishmaniasis is a protozoal disease of human that occurs in most parts of the world. By considering the progress of bioinformatics in molecular modeling, major surface glycoprotein of Leishmania donovani (gp63) structure was modeled using homology modeling with high accuracy based on the X-ray crys...

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Autores principales: Razzazan, Ali, Saberi, Mohammad Reza, Jaafari, Mahmoud Reza
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2639692/
https://www.ncbi.nlm.nih.gov/pubmed/19238247
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author Razzazan, Ali
Saberi, Mohammad Reza
Jaafari, Mahmoud Reza
author_facet Razzazan, Ali
Saberi, Mohammad Reza
Jaafari, Mahmoud Reza
author_sort Razzazan, Ali
collection PubMed
description Leishmaniasis is a protozoal disease of human that occurs in most parts of the world. By considering the progress of bioinformatics in molecular modeling, major surface glycoprotein of Leishmania donovani (gp63) structure was modeled using homology modeling with high accuracy based on the X-ray crystal structure of the Leishmania major gp63 as a template, and then analyzed 3D structure of gp63 which can reveal exact facts about its structure and interaction. The objective of this study was to find folding and three dimensional structure of the gp63 as potent antigen for human. In this project, we applied the theory of evolution method, including comparative modeling and threading. This study presented a simple protocol for rapid and precise finding 3D structure of gp63 and investigation of its structural properties. The translated amino acid sequence showed that Leishmania donovani gp63 contains 590 amino acids precursor protein consisting of an NH(2)-terminal signal peptide of 39 amino acids for membrane targeting, a pro region of 48 amino acids, the mature protein of 478 amino acids containing glycosylation and putative catalytic sites, and a COOH-terminal signal peptide of 25 amino acids for GPI attachment. Based on our model, the protein consists of three domains: the N-terminal, central and C-terminal domains. Additionally, these results could guide future structure-function analyses of gp63 protein.
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spelling pubmed-26396922009-02-23 Insights from the analysis of a predicted model of gp63 in Leishmania donovani Razzazan, Ali Saberi, Mohammad Reza Jaafari, Mahmoud Reza Bioinformation Hypothesis Leishmaniasis is a protozoal disease of human that occurs in most parts of the world. By considering the progress of bioinformatics in molecular modeling, major surface glycoprotein of Leishmania donovani (gp63) structure was modeled using homology modeling with high accuracy based on the X-ray crystal structure of the Leishmania major gp63 as a template, and then analyzed 3D structure of gp63 which can reveal exact facts about its structure and interaction. The objective of this study was to find folding and three dimensional structure of the gp63 as potent antigen for human. In this project, we applied the theory of evolution method, including comparative modeling and threading. This study presented a simple protocol for rapid and precise finding 3D structure of gp63 and investigation of its structural properties. The translated amino acid sequence showed that Leishmania donovani gp63 contains 590 amino acids precursor protein consisting of an NH(2)-terminal signal peptide of 39 amino acids for membrane targeting, a pro region of 48 amino acids, the mature protein of 478 amino acids containing glycosylation and putative catalytic sites, and a COOH-terminal signal peptide of 25 amino acids for GPI attachment. Based on our model, the protein consists of three domains: the N-terminal, central and C-terminal domains. Additionally, these results could guide future structure-function analyses of gp63 protein. Biomedical Informatics Publishing Group 2008-11-02 /pmc/articles/PMC2639692/ /pubmed/19238247 Text en © 2007 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Razzazan, Ali
Saberi, Mohammad Reza
Jaafari, Mahmoud Reza
Insights from the analysis of a predicted model of gp63 in Leishmania donovani
title Insights from the analysis of a predicted model of gp63 in Leishmania donovani
title_full Insights from the analysis of a predicted model of gp63 in Leishmania donovani
title_fullStr Insights from the analysis of a predicted model of gp63 in Leishmania donovani
title_full_unstemmed Insights from the analysis of a predicted model of gp63 in Leishmania donovani
title_short Insights from the analysis of a predicted model of gp63 in Leishmania donovani
title_sort insights from the analysis of a predicted model of gp63 in leishmania donovani
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2639692/
https://www.ncbi.nlm.nih.gov/pubmed/19238247
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