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A Large-Scale Structural Classification of Antimicrobial Peptides

Antimicrobial peptides (AMPs) are potent drug candidates against microbial organisms such as bacteria, fungi, parasites, and viruses. AMPs have abundant sequences and structures, two fundamental resources for bioinformatics researches, but analyses on how they associate with each other are either no...

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Autores principales: Lee, Hao-Ting, Lee, Chen-Che, Yang, Je-Ruei, Lai, Jim Z. C., Chang, Kuan Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426897/
https://www.ncbi.nlm.nih.gov/pubmed/26000295
http://dx.doi.org/10.1155/2015/475062
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author Lee, Hao-Ting
Lee, Chen-Che
Yang, Je-Ruei
Lai, Jim Z. C.
Chang, Kuan Y.
author_facet Lee, Hao-Ting
Lee, Chen-Che
Yang, Je-Ruei
Lai, Jim Z. C.
Chang, Kuan Y.
author_sort Lee, Hao-Ting
collection PubMed
description Antimicrobial peptides (AMPs) are potent drug candidates against microbial organisms such as bacteria, fungi, parasites, and viruses. AMPs have abundant sequences and structures, two fundamental resources for bioinformatics researches, but analyses on how they associate with each other are either nonexistent or limited to partial classification and data. We thus present A Database of Anti-Microbial peptides (ADAM), which contains 7,007 unique sequences and 759 structures, to systematically establish comprehensive associations between AMP sequences and structures through structural folds and to provide an easy access to view their relationships. 30 distinct AMP structural fold clusters with more than one structure are detected and about a thousand AMPs are associated with at least one structural fold cluster. According to ADAM, AMP structural folds are limited—AMPs only cover about 3% of the overall protein fold space.
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spelling pubmed-44268972015-05-21 A Large-Scale Structural Classification of Antimicrobial Peptides Lee, Hao-Ting Lee, Chen-Che Yang, Je-Ruei Lai, Jim Z. C. Chang, Kuan Y. Biomed Res Int Resource Review Antimicrobial peptides (AMPs) are potent drug candidates against microbial organisms such as bacteria, fungi, parasites, and viruses. AMPs have abundant sequences and structures, two fundamental resources for bioinformatics researches, but analyses on how they associate with each other are either nonexistent or limited to partial classification and data. We thus present A Database of Anti-Microbial peptides (ADAM), which contains 7,007 unique sequences and 759 structures, to systematically establish comprehensive associations between AMP sequences and structures through structural folds and to provide an easy access to view their relationships. 30 distinct AMP structural fold clusters with more than one structure are detected and about a thousand AMPs are associated with at least one structural fold cluster. According to ADAM, AMP structural folds are limited—AMPs only cover about 3% of the overall protein fold space. Hindawi Publishing Corporation 2015 2015-04-27 /pmc/articles/PMC4426897/ /pubmed/26000295 http://dx.doi.org/10.1155/2015/475062 Text en Copyright © 2015 Hao-Ting Lee et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Resource Review
Lee, Hao-Ting
Lee, Chen-Che
Yang, Je-Ruei
Lai, Jim Z. C.
Chang, Kuan Y.
A Large-Scale Structural Classification of Antimicrobial Peptides
title A Large-Scale Structural Classification of Antimicrobial Peptides
title_full A Large-Scale Structural Classification of Antimicrobial Peptides
title_fullStr A Large-Scale Structural Classification of Antimicrobial Peptides
title_full_unstemmed A Large-Scale Structural Classification of Antimicrobial Peptides
title_short A Large-Scale Structural Classification of Antimicrobial Peptides
title_sort large-scale structural classification of antimicrobial peptides
topic Resource Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4426897/
https://www.ncbi.nlm.nih.gov/pubmed/26000295
http://dx.doi.org/10.1155/2015/475062
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