2019
DOI: 10.1101/854950
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Machine Learning Predicts New Anti-CRISPR Proteins

Abstract: ABSTRACTThe increasing use of CRISPR-Cas9 in medicine, agriculture and synthetic biology has accelerated the drive to discover new CRISPR-Cas inhibitors as potential mechanisms of control for gene editing applications. Many such anti-CRISPRs have been found in mobile genetic elements that disable the CRISPR-Cas adaptive immune system. However, comparing all currently known anti-CRISPRs does not reveal a shared set of properties that can be used for facile bioinformatic identifi… Show more

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Cited by 5 publications
(4 citation statements)
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“…For every known microbial defense strategy phages evolved means for counter defense, and thus it is only a matter of time before phage encoded inhibitors of novel defense systems will be described [25,26,46]. It was pro posed that similar to the defense islands, anti defense genes tend to form clusters in phage genomes or mobile genetic elements.…”
Section: Introductionmentioning
confidence: 99%
“…For every known microbial defense strategy phages evolved means for counter defense, and thus it is only a matter of time before phage encoded inhibitors of novel defense systems will be described [25,26,46]. It was pro posed that similar to the defense islands, anti defense genes tend to form clusters in phage genomes or mobile genetic elements.…”
Section: Introductionmentioning
confidence: 99%
“…Two types of Anti CRISPR (Acr) regions were detected from selected strains as AcrIIA21 being present in 26 strains whilst AcrIIA18 in just GBS1-NY strain. AcrIIA21 exhibits broad spectrum action by inhibiting Streptococcus pyogenes Cas9 (SpyCas9), Staphylococcus aureus Cas9 (SauCas9), and Streptococcus iniae Cas9 (SinCas9), exhibiting high efficacy against SinCas9 [30]. An in depth understanding of its mechanism remains elusive.…”
Section: Discussionmentioning
confidence: 99%
“…Validated Acr are mostly short proteins (89% between 60 and 160 aa). We ran our phage proteomes in AcrHub on two different Acr prediction algorithms (PaCRISPR [42] and AcRanker [43]).…”
Section: Iii14 Prediction Of Anti-crispr Proteins (Acr)mentioning
confidence: 99%