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PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation
The number of publications reporting putative plastic-degrading microbes and proteins is continuously increasing, necessitating the compilation of these data and the development of tools to facilitate their analysis. We developed the PlasticDB web application to address this need, which comprises a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216477/ https://www.ncbi.nlm.nih.gov/pubmed/35266524 http://dx.doi.org/10.1093/database/baac008 |
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author | Gambarini, Victor Pantos, Olga Kingsbury, Joanne M Weaver, Louise Handley, Kim M Lear, Gavin |
author_facet | Gambarini, Victor Pantos, Olga Kingsbury, Joanne M Weaver, Louise Handley, Kim M Lear, Gavin |
author_sort | Gambarini, Victor |
collection | PubMed |
description | The number of publications reporting putative plastic-degrading microbes and proteins is continuously increasing, necessitating the compilation of these data and the development of tools to facilitate their analysis. We developed the PlasticDB web application to address this need, which comprises a database of microorganisms and proteins reported to biodegrade plastics. Associated metadata, such as the techniques utilized to assess biodegradation, the environmental source of microbial isolate and presumed thermophilic traits are also reported. Proteins in the database are categorized according to the plastic type they are reported to degrade. Each protein structure has been predicted in silico and can be visualized or downloaded for further investigation. In addition to standard database functionalities, such as searching, filtering and retrieving database records, we implemented several analytical tools that accept inputs, including gene, genome, metagenome, transcriptomes, metatranscriptomes and taxa table data. Users can now analyze their datasets for the presence of putative plastic-degrading species and potential plastic-degrading proteins and pathways from those species. Database URL:http://plasticdb.org. |
format | Online Article Text |
id | pubmed-9216477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92164772022-06-23 PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation Gambarini, Victor Pantos, Olga Kingsbury, Joanne M Weaver, Louise Handley, Kim M Lear, Gavin Database (Oxford) Database Tool The number of publications reporting putative plastic-degrading microbes and proteins is continuously increasing, necessitating the compilation of these data and the development of tools to facilitate their analysis. We developed the PlasticDB web application to address this need, which comprises a database of microorganisms and proteins reported to biodegrade plastics. Associated metadata, such as the techniques utilized to assess biodegradation, the environmental source of microbial isolate and presumed thermophilic traits are also reported. Proteins in the database are categorized according to the plastic type they are reported to degrade. Each protein structure has been predicted in silico and can be visualized or downloaded for further investigation. In addition to standard database functionalities, such as searching, filtering and retrieving database records, we implemented several analytical tools that accept inputs, including gene, genome, metagenome, transcriptomes, metatranscriptomes and taxa table data. Users can now analyze their datasets for the presence of putative plastic-degrading species and potential plastic-degrading proteins and pathways from those species. Database URL:http://plasticdb.org. Oxford University Press 2022-03-09 /pmc/articles/PMC9216477/ /pubmed/35266524 http://dx.doi.org/10.1093/database/baac008 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Tool Gambarini, Victor Pantos, Olga Kingsbury, Joanne M Weaver, Louise Handley, Kim M Lear, Gavin PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation |
title | PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation |
title_full | PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation |
title_fullStr | PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation |
title_full_unstemmed | PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation |
title_short | PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation |
title_sort | plasticdb: a database of microorganisms and proteins linked to plastic biodegradation |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216477/ https://www.ncbi.nlm.nih.gov/pubmed/35266524 http://dx.doi.org/10.1093/database/baac008 |
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