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Prediction and analysis of paralogous proteins in Trichomonas vaginalis genome
Trichomonas vaginalis causes trichomoniasis, second most sexually transmitted disease. The genome sequence draft of T. vaginalis was published by The Institute of Genomic Research reveals an abnormally large genome size of 160 Mb. It was speculated that a significant portion of the proteome contains...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3064849/ https://www.ncbi.nlm.nih.gov/pubmed/21464842 |
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author | Singh, Satendra Singh, Gurmit Singh, Atul Kumar Gautam, Gautam Farmer, Rohit Lodhi, Sharad S Wadhwa, Gulshan |
author_facet | Singh, Satendra Singh, Gurmit Singh, Atul Kumar Gautam, Gautam Farmer, Rohit Lodhi, Sharad S Wadhwa, Gulshan |
author_sort | Singh, Satendra |
collection | PubMed |
description | Trichomonas vaginalis causes trichomoniasis, second most sexually transmitted disease. The genome sequence draft of T. vaginalis was published by The Institute of Genomic Research reveals an abnormally large genome size of 160 Mb. It was speculated that a significant portion of the proteome contains paralogous proteins. The present study was aimed at identification and analysis of the paralogous proteins. The all against all search approach is used to identify the paralogous proteins. The dataset of proteins was retrieved from TIGR and TrichDB FTP server. The BLAST-P program performed all against all database searches against the protein database of Trichomonas vaginalis available at NCBI genome database. In the present study about 50,000 proteins were searched where 2,700 proteins were found to be paralogous under the rigid selection criteria. The Pfam database search has identified significant number of paralogous proteins which were further categorized among different 1496 paralogous protein in pfam families, 1027 paralogous protein contains domain, 60 proteins were having different repeats and 1092 paralogous protein sequences of clans. Such identification and functional annotation of paralogous proteins will also help in removing paralogous proteins from possible drug targets in future. Presence of huge number of paralogous proteins across wide range of gene families and domains may be one of the possible mechanisms involved in the T. vaginalis genome expansion and evolution. |
format | Text |
id | pubmed-3064849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-30648492011-04-04 Prediction and analysis of paralogous proteins in Trichomonas vaginalis genome Singh, Satendra Singh, Gurmit Singh, Atul Kumar Gautam, Gautam Farmer, Rohit Lodhi, Sharad S Wadhwa, Gulshan Bioinformation Hypothesis Trichomonas vaginalis causes trichomoniasis, second most sexually transmitted disease. The genome sequence draft of T. vaginalis was published by The Institute of Genomic Research reveals an abnormally large genome size of 160 Mb. It was speculated that a significant portion of the proteome contains paralogous proteins. The present study was aimed at identification and analysis of the paralogous proteins. The all against all search approach is used to identify the paralogous proteins. The dataset of proteins was retrieved from TIGR and TrichDB FTP server. The BLAST-P program performed all against all database searches against the protein database of Trichomonas vaginalis available at NCBI genome database. In the present study about 50,000 proteins were searched where 2,700 proteins were found to be paralogous under the rigid selection criteria. The Pfam database search has identified significant number of paralogous proteins which were further categorized among different 1496 paralogous protein in pfam families, 1027 paralogous protein contains domain, 60 proteins were having different repeats and 1092 paralogous protein sequences of clans. Such identification and functional annotation of paralogous proteins will also help in removing paralogous proteins from possible drug targets in future. Presence of huge number of paralogous proteins across wide range of gene families and domains may be one of the possible mechanisms involved in the T. vaginalis genome expansion and evolution. Biomedical Informatics 2011-03-02 /pmc/articles/PMC3064849/ /pubmed/21464842 Text en © 2011 Biomedical Informatics 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 Singh, Satendra Singh, Gurmit Singh, Atul Kumar Gautam, Gautam Farmer, Rohit Lodhi, Sharad S Wadhwa, Gulshan Prediction and analysis of paralogous proteins in Trichomonas vaginalis genome |
title | Prediction and analysis of paralogous proteins in Trichomonas vaginalis genome |
title_full | Prediction and analysis of paralogous proteins in Trichomonas vaginalis genome |
title_fullStr | Prediction and analysis of paralogous proteins in Trichomonas vaginalis genome |
title_full_unstemmed | Prediction and analysis of paralogous proteins in Trichomonas vaginalis genome |
title_short | Prediction and analysis of paralogous proteins in Trichomonas vaginalis genome |
title_sort | prediction and analysis of paralogous proteins in trichomonas vaginalis genome |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3064849/ https://www.ncbi.nlm.nih.gov/pubmed/21464842 |
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