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mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support
Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and oxidoreductases. Fungi are prolific producers of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352688/ https://www.ncbi.nlm.nih.gov/pubmed/25754864 http://dx.doi.org/10.1093/database/bav008 |
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author | Strasser, Kimchi McDonnell, Erin Nyaga, Carol Wu, Min Wu, Sherry Almeida, Hayda Meurs, Marie-Jean Kosseim, Leila Powlowski, Justin Butler, Greg Tsang, Adrian |
author_facet | Strasser, Kimchi McDonnell, Erin Nyaga, Carol Wu, Min Wu, Sherry Almeida, Hayda Meurs, Marie-Jean Kosseim, Leila Powlowski, Justin Butler, Greg Tsang, Adrian |
author_sort | Strasser, Kimchi |
collection | PubMed |
description | Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and oxidoreductases. Fungi are prolific producers of these enzymes, spurring fungal genome sequencing efforts to identify and catalogue the genes that encode them. To facilitate the functional annotation of these genes, biochemical data on over 800 fungal lignocellulose-degrading enzymes have been collected from the literature and organized into the searchable database, mycoCLAP (http://mycoclap.fungalgenomics.ca). First implemented in 2011, and updated as described here, mycoCLAP is capable of ranking search results according to closest biochemically characterized homologues: this improves the quality of the annotation, and significantly decreases the time required to annotate novel sequences. The database is freely available to the scientific community, as are the open source applications based on natural language processing developed to support the manual curation of mycoCLAP. Database URL: http://mycoclap.fungalgenomics.ca |
format | Online Article Text |
id | pubmed-4352688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43526882015-03-17 mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support Strasser, Kimchi McDonnell, Erin Nyaga, Carol Wu, Min Wu, Sherry Almeida, Hayda Meurs, Marie-Jean Kosseim, Leila Powlowski, Justin Butler, Greg Tsang, Adrian Database (Oxford) Original Article Enzymes active on components of lignocellulosic biomass are used for industrial applications ranging from food processing to biofuels production. These include a diverse array of glycoside hydrolases, carbohydrate esterases, polysaccharide lyases and oxidoreductases. Fungi are prolific producers of these enzymes, spurring fungal genome sequencing efforts to identify and catalogue the genes that encode them. To facilitate the functional annotation of these genes, biochemical data on over 800 fungal lignocellulose-degrading enzymes have been collected from the literature and organized into the searchable database, mycoCLAP (http://mycoclap.fungalgenomics.ca). First implemented in 2011, and updated as described here, mycoCLAP is capable of ranking search results according to closest biochemically characterized homologues: this improves the quality of the annotation, and significantly decreases the time required to annotate novel sequences. The database is freely available to the scientific community, as are the open source applications based on natural language processing developed to support the manual curation of mycoCLAP. Database URL: http://mycoclap.fungalgenomics.ca Oxford University Press 2015-03-08 /pmc/articles/PMC4352688/ /pubmed/25754864 http://dx.doi.org/10.1093/database/bav008 Text en © The Author(s) 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Strasser, Kimchi McDonnell, Erin Nyaga, Carol Wu, Min Wu, Sherry Almeida, Hayda Meurs, Marie-Jean Kosseim, Leila Powlowski, Justin Butler, Greg Tsang, Adrian mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support |
title | mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support |
title_full | mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support |
title_fullStr | mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support |
title_full_unstemmed | mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support |
title_short | mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support |
title_sort | mycoclap, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352688/ https://www.ncbi.nlm.nih.gov/pubmed/25754864 http://dx.doi.org/10.1093/database/bav008 |
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