Tracking antimicrobial peptides in a bank of Crassostrea gigas ESTs using homology search and pattern discovery methods
This study describes the discovery of three potential, cationic, cysteine rich, CS alpha beta pattern containing antimicrobial peptides from a bank of Crassostrea gigas EST’s using homology search and pattern discovery methods. The EST's encoding two of these peptides were sourced from bacteria...
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ftdatacite:10.6084/m9.figshare.736443 2023-05-15T15:57:23+02:00 Tracking antimicrobial peptides in a bank of Crassostrea gigas ESTs using homology search and pattern discovery methods Ajith Jinjil Nicolas, Jacques 2013 https://dx.doi.org/10.6084/m9.figshare.736443 https://figshare.com/articles/journal_contribution/Tracking_antimicrobial_peptides_in_a_bank_of_Crassostrea_gigas_ESTs_using_homology_search_and_pattern_discovery_methods/736443 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 60102 Bioinformatics FOS Computer and information sciences Text article-journal Journal contribution ScholarlyArticle 2013 ftdatacite https://doi.org/10.6084/m9.figshare.736443 2021-11-05T12:55:41Z This study describes the discovery of three potential, cationic, cysteine rich, CS alpha beta pattern containing antimicrobial peptides from a bank of Crassostrea gigas EST’s using homology search and pattern discovery methods. The EST's encoding two of these peptides were sourced from bacteria challenged hemocytes and one from the mantle edge tissue. Their in-vitro isolation and characterization is currently in progress. Text Crassostrea gigas DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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60102 Bioinformatics FOS Computer and information sciences |
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60102 Bioinformatics FOS Computer and information sciences Ajith Jinjil Nicolas, Jacques Tracking antimicrobial peptides in a bank of Crassostrea gigas ESTs using homology search and pattern discovery methods |
topic_facet |
60102 Bioinformatics FOS Computer and information sciences |
description |
This study describes the discovery of three potential, cationic, cysteine rich, CS alpha beta pattern containing antimicrobial peptides from a bank of Crassostrea gigas EST’s using homology search and pattern discovery methods. The EST's encoding two of these peptides were sourced from bacteria challenged hemocytes and one from the mantle edge tissue. Their in-vitro isolation and characterization is currently in progress. |
format |
Text |
author |
Ajith Jinjil Nicolas, Jacques |
author_facet |
Ajith Jinjil Nicolas, Jacques |
author_sort |
Ajith Jinjil |
title |
Tracking antimicrobial peptides in a bank of Crassostrea gigas ESTs using homology search and pattern discovery methods |
title_short |
Tracking antimicrobial peptides in a bank of Crassostrea gigas ESTs using homology search and pattern discovery methods |
title_full |
Tracking antimicrobial peptides in a bank of Crassostrea gigas ESTs using homology search and pattern discovery methods |
title_fullStr |
Tracking antimicrobial peptides in a bank of Crassostrea gigas ESTs using homology search and pattern discovery methods |
title_full_unstemmed |
Tracking antimicrobial peptides in a bank of Crassostrea gigas ESTs using homology search and pattern discovery methods |
title_sort |
tracking antimicrobial peptides in a bank of crassostrea gigas ests using homology search and pattern discovery methods |
publisher |
figshare |
publishDate |
2013 |
url |
https://dx.doi.org/10.6084/m9.figshare.736443 https://figshare.com/articles/journal_contribution/Tracking_antimicrobial_peptides_in_a_bank_of_Crassostrea_gigas_ESTs_using_homology_search_and_pattern_discovery_methods/736443 |
genre |
Crassostrea gigas |
genre_facet |
Crassostrea gigas |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.736443 |
_version_ |
1766393038919172096 |