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DAMPD: a manually curated antimicrobial peptide database
The demand for antimicrobial peptides (AMPs) is rising because of the increased occurrence of pathogens that are tolerant or resistant to conventional antibiotics. Since naturally occurring AMPs could serve as templates for the development of new anti-infectious agents to which pathogens are not res...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3244992/ https://www.ncbi.nlm.nih.gov/pubmed/22110032 http://dx.doi.org/10.1093/nar/gkr1063 |
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author | Seshadri Sundararajan, Vijayaraghava Gabere, Musa Nur Pretorius, Ashley Adam, Saleem Christoffels, Alan Lehväslaiho, Minna Archer, John A. C. Bajic, Vladimir B. |
author_facet | Seshadri Sundararajan, Vijayaraghava Gabere, Musa Nur Pretorius, Ashley Adam, Saleem Christoffels, Alan Lehväslaiho, Minna Archer, John A. C. Bajic, Vladimir B. |
author_sort | Seshadri Sundararajan, Vijayaraghava |
collection | PubMed |
description | The demand for antimicrobial peptides (AMPs) is rising because of the increased occurrence of pathogens that are tolerant or resistant to conventional antibiotics. Since naturally occurring AMPs could serve as templates for the development of new anti-infectious agents to which pathogens are not resistant, a resource that contains relevant information on AMP is of great interest. To that extent, we developed the Dragon Antimicrobial Peptide Database (DAMPD, http://apps.sanbi.ac.za/dampd) that contains 1232 manually curated AMPs. DAMPD is an update and a replacement of the ANTIMIC database. In DAMPD an integrated interface allows in a simple fashion querying based on taxonomy, species, AMP family, citation, keywords and a combination of search terms and fields (Advanced Search). A number of tools such as Blast, ClustalW, HMMER, Hydrocalculator, SignalP, AMP predictor, as well as a number of other resources that provide additional information about the results are also provided and integrated into DAMPD to augment biological analysis of AMPs. |
format | Online Article Text |
id | pubmed-3244992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32449922012-01-10 DAMPD: a manually curated antimicrobial peptide database Seshadri Sundararajan, Vijayaraghava Gabere, Musa Nur Pretorius, Ashley Adam, Saleem Christoffels, Alan Lehväslaiho, Minna Archer, John A. C. Bajic, Vladimir B. Nucleic Acids Res Articles The demand for antimicrobial peptides (AMPs) is rising because of the increased occurrence of pathogens that are tolerant or resistant to conventional antibiotics. Since naturally occurring AMPs could serve as templates for the development of new anti-infectious agents to which pathogens are not resistant, a resource that contains relevant information on AMP is of great interest. To that extent, we developed the Dragon Antimicrobial Peptide Database (DAMPD, http://apps.sanbi.ac.za/dampd) that contains 1232 manually curated AMPs. DAMPD is an update and a replacement of the ANTIMIC database. In DAMPD an integrated interface allows in a simple fashion querying based on taxonomy, species, AMP family, citation, keywords and a combination of search terms and fields (Advanced Search). A number of tools such as Blast, ClustalW, HMMER, Hydrocalculator, SignalP, AMP predictor, as well as a number of other resources that provide additional information about the results are also provided and integrated into DAMPD to augment biological analysis of AMPs. Oxford University Press 2012-01 2011-11-21 /pmc/articles/PMC3244992/ /pubmed/22110032 http://dx.doi.org/10.1093/nar/gkr1063 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Seshadri Sundararajan, Vijayaraghava Gabere, Musa Nur Pretorius, Ashley Adam, Saleem Christoffels, Alan Lehväslaiho, Minna Archer, John A. C. Bajic, Vladimir B. DAMPD: a manually curated antimicrobial peptide database |
title | DAMPD: a manually curated antimicrobial peptide database |
title_full | DAMPD: a manually curated antimicrobial peptide database |
title_fullStr | DAMPD: a manually curated antimicrobial peptide database |
title_full_unstemmed | DAMPD: a manually curated antimicrobial peptide database |
title_short | DAMPD: a manually curated antimicrobial peptide database |
title_sort | dampd: a manually curated antimicrobial peptide database |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3244992/ https://www.ncbi.nlm.nih.gov/pubmed/22110032 http://dx.doi.org/10.1093/nar/gkr1063 |
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