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AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
CRISPR–Cas is an anti-viral mechanism of prokaryotes that has been widely adopted for genome editing. To make CRISPR–Cas genome editing more controllable and safer to use, anti-CRISPR proteins have been recently exploited to prevent excessive/prolonged Cas nuclease cleavage. Anti-CRISPR (Acr) protei...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778997/ https://www.ncbi.nlm.nih.gov/pubmed/33068435 http://dx.doi.org/10.1093/nar/gkaa857 |
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author | Huang, Le Yang, Bowen Yi, Haidong Asif, Amina Wang, Jiawei Lithgow, Trevor Zhang, Han Minhas, Fayyaz ul Amir Afsar Yin, Yanbin |
author_facet | Huang, Le Yang, Bowen Yi, Haidong Asif, Amina Wang, Jiawei Lithgow, Trevor Zhang, Han Minhas, Fayyaz ul Amir Afsar Yin, Yanbin |
author_sort | Huang, Le |
collection | PubMed |
description | CRISPR–Cas is an anti-viral mechanism of prokaryotes that has been widely adopted for genome editing. To make CRISPR–Cas genome editing more controllable and safer to use, anti-CRISPR proteins have been recently exploited to prevent excessive/prolonged Cas nuclease cleavage. Anti-CRISPR (Acr) proteins are encoded by (pro)phages/(pro)viruses, and have the ability to inhibit their host's CRISPR–Cas systems. We have built an online database AcrDB (http://bcb.unl.edu/AcrDB) by scanning ∼19 000 genomes of prokaryotes and viruses with AcrFinder, a recently developed Acr-Aca (Acr-associated regulator) operon prediction program. Proteins in Acr-Aca operons were further processed by two machine learning-based programs (AcRanker and PaCRISPR) to obtain numerical scores/ranks. Compared to other anti-CRISPR databases, AcrDB has the following unique features: (i) It is a genome-scale database with the largest collection of data (39 799 Acr-Aca operons containing Aca or Acr homologs); (ii) It offers a user-friendly web interface with various functions for browsing, graphically viewing, searching, and batch downloading Acr-Aca operons; (iii) It focuses on the genomic context of Acr and Aca candidates instead of individual Acr protein family and (iv) It collects data with three independent programs each having a unique data mining algorithm for cross validation. AcrDB will be a valuable resource to the anti-CRISPR research community. |
format | Online Article Text |
id | pubmed-7778997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77789972021-01-06 AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses Huang, Le Yang, Bowen Yi, Haidong Asif, Amina Wang, Jiawei Lithgow, Trevor Zhang, Han Minhas, Fayyaz ul Amir Afsar Yin, Yanbin Nucleic Acids Res Database Issue CRISPR–Cas is an anti-viral mechanism of prokaryotes that has been widely adopted for genome editing. To make CRISPR–Cas genome editing more controllable and safer to use, anti-CRISPR proteins have been recently exploited to prevent excessive/prolonged Cas nuclease cleavage. Anti-CRISPR (Acr) proteins are encoded by (pro)phages/(pro)viruses, and have the ability to inhibit their host's CRISPR–Cas systems. We have built an online database AcrDB (http://bcb.unl.edu/AcrDB) by scanning ∼19 000 genomes of prokaryotes and viruses with AcrFinder, a recently developed Acr-Aca (Acr-associated regulator) operon prediction program. Proteins in Acr-Aca operons were further processed by two machine learning-based programs (AcRanker and PaCRISPR) to obtain numerical scores/ranks. Compared to other anti-CRISPR databases, AcrDB has the following unique features: (i) It is a genome-scale database with the largest collection of data (39 799 Acr-Aca operons containing Aca or Acr homologs); (ii) It offers a user-friendly web interface with various functions for browsing, graphically viewing, searching, and batch downloading Acr-Aca operons; (iii) It focuses on the genomic context of Acr and Aca candidates instead of individual Acr protein family and (iv) It collects data with three independent programs each having a unique data mining algorithm for cross validation. AcrDB will be a valuable resource to the anti-CRISPR research community. Oxford University Press 2020-10-17 /pmc/articles/PMC7778997/ /pubmed/33068435 http://dx.doi.org/10.1093/nar/gkaa857 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Huang, Le Yang, Bowen Yi, Haidong Asif, Amina Wang, Jiawei Lithgow, Trevor Zhang, Han Minhas, Fayyaz ul Amir Afsar Yin, Yanbin AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses |
title | AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses |
title_full | AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses |
title_fullStr | AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses |
title_full_unstemmed | AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses |
title_short | AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses |
title_sort | acrdb: a database of anti-crispr operons in prokaryotes and viruses |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778997/ https://www.ncbi.nlm.nih.gov/pubmed/33068435 http://dx.doi.org/10.1093/nar/gkaa857 |
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