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AcrDB : a database of anti-CRISPR operons in prokaryotes and viruses
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Huang, Le, Yang, Bowen, Yi, Haidong, Asif, Amina, Wang, Jiawei, Lithgow, Trevor, Zhang, Han, Minhas, Fayyaz ul Amir Afsar and Yin, Yanbin (2021) AcrDB : a database of anti-CRISPR operons in prokaryotes and viruses. Nucleic Acids Research, 49 (D1). D622-D629. doi:10.1093/nar/gkaa857 ISSN 0305-1048.
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WRAP-AcrDB-database-anti-CRISPR-operons-prokaryotes-viruses-Minhas-2020.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons: Attribution-Noncommercial 4.0. Download (2427Kb) | Preview |
Official URL: http://dx.doi.org/10.1093/nar/gkaa857
Abstract
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.
Item Type: | Journal Article | ||||||||||||
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Subjects: | Q Science > QR Microbiology | ||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||||||
Library of Congress Subject Headings (LCSH): | Prokaryotes, Bacteriophages -- Genetics | ||||||||||||
Journal or Publication Title: | Nucleic Acids Research | ||||||||||||
Publisher: | Oxford University Press | ||||||||||||
ISSN: | 0305-1048 | ||||||||||||
Official Date: | 8 January 2021 | ||||||||||||
Dates: |
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Volume: | 49 | ||||||||||||
Number: | D1 | ||||||||||||
Page Range: | D622-D629 | ||||||||||||
DOI: | 10.1093/nar/gkaa857 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Date of first compliant deposit: | 7 January 2021 | ||||||||||||
Date of first compliant Open Access: | 8 January 2021 | ||||||||||||
RIOXX Funder/Project Grant: |
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