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...
Main Authors: | , , , , , , , |
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Format: | Journal Article |
Language: | English |
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2014
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Online Access: | https://hdl.handle.net/10356/101513 http://hdl.handle.net/10220/18726 |
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author | Archer, John A. C. Bajic, Vladimir B. Sundararajan, Vijayaraghava Seshadri Gabere, Musa Nur Pretorius, Ashley Adam, Saleem Christoffels, Alan Lehväslaiho, Minna |
author2 | School of Computer Engineering |
author_facet | School of Computer Engineering Archer, John A. C. Bajic, Vladimir B. Sundararajan, Vijayaraghava Seshadri Gabere, Musa Nur Pretorius, Ashley Adam, Saleem Christoffels, Alan Lehväslaiho, Minna |
author_sort | Archer, John A. C. |
collection | NTU |
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. |
first_indexed | 2024-10-01T05:23:08Z |
format | Journal Article |
id | ntu-10356/101513 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:23:08Z |
publishDate | 2014 |
record_format | dspace |
spelling | ntu-10356/1015132022-02-16T16:30:25Z DAMPD : a manually curated antimicrobial peptide database Archer, John A. C. Bajic, Vladimir B. Sundararajan, Vijayaraghava Seshadri Gabere, Musa Nur Pretorius, Ashley Adam, Saleem Christoffels, Alan Lehväslaiho, Minna School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences 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. Published version 2014-01-28T04:36:32Z 2019-12-06T20:39:36Z 2014-01-28T04:36:32Z 2019-12-06T20:39:36Z 2011 2011 Journal Article Sundararajan, V. S. , Gabere, M. N., Pretorius, A., Adam, S., Christoffels, A., Lehvaslaiho, M., et al. (2012). DAMPD : a manually curated antimicrobial peptide database. Nucleic acids research, 40(D1), D1108-D1112. https://hdl.handle.net/10356/101513 http://hdl.handle.net/10220/18726 10.1093/nar/gkr1063 22110032 en Nucleic acids research © 2011 The Authors. This paper was published in Nucleic Acids Research and is made available as an electronic reprint (preprint) with permission of the authors. The paper can be found at the following official DOI: [http://dx.doi.org/10.1093/nar/gkr1063]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Archer, John A. C. Bajic, Vladimir B. Sundararajan, Vijayaraghava Seshadri Gabere, Musa Nur Pretorius, Ashley Adam, Saleem Christoffels, Alan Lehväslaiho, Minna 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 | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences |
url | https://hdl.handle.net/10356/101513 http://hdl.handle.net/10220/18726 |
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