| URL: | http://bcb.unl.edu/AcrDB |
| Full name: | |
| Description: | AcrDB is a database of computationally predicted anti-CRISPR (Acr) and Acr-associated (Aca) operon database. |
| Year founded: | 2021 |
| Last update: | |
| Version: | 1.0 |
| Accessibility: |
Accessible
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| Country/Region: | United States |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: |
NA
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| Keywords: |
| University/Institution: | University of Nebraska at Lincoln |
| Address: | |
| City: | Lincoln |
| Province/State: | |
| Country/Region: | United States |
| Contact name (PI/Team): | Yanbin Yin |
| Contact email (PI/Helpdesk): | yyin@unl.edu |
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AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses. [PMID: 33068435]
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. |