Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Machine learning predicts new anti-CRISPR proteins

26 Mar 2020

Abstract excerpt

The 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 anti-CRISPRs have been found that inhibit the CRISPR-Cas adaptive immune system. However, comparing all currently known anti-CRISPRs does not reveal a shared set of properties for facile...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to CRISPR and Genetic Engineering
Share to Mosquito-borne diseases and control
Share to RNA and protein synthesis mechanisms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32286628
DOI: 10.1093/nar/gkaa219

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Machine learning predicts new anti-CRISPR proteinsPMID 32286628Read ↗

Machine-learning approach expands the repertoire of anti-CRISPR protein familiesSemantic proximity Read ↗

CRISPRimmunity: an interactive web server for CRISPR-associated Important Molecular events and Modulators Used in geNome edIting Tool identifYingSemantic proximity Read ↗

Anti-CRISPR prediction using deep learning reveals an inhibitor of Cas13b nucleasesSemantic proximity Read ↗

CRISPRminer is a knowledge base for exploring CRISPR-Cas systems in microbe and phage interactionsSemantic proximity Read ↗

Potent CRISPR-Cas9 inhibitors from <i>Staphylococcus</i> genomesSemantic proximity Read ↗

A deep learning and co-conservation framework enable discovery of non-canonical Cas proteinsSemantic proximity Read ↗

Anti-CRISPRdb: a comprehensive online resource for anti-CRISPR proteinsSemantic proximity Read ↗

Distribution and molecular evolution of the anti-CRISPR family AcrIF7.Semantic proximity Read ↗

Functional metagenomics-guided discovery of potent Cas9 inhibitors in the human microbiomeSemantic proximity Read ↗

AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteinsSemantic proximity Read ↗

In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobialsSemantic proximity Read ↗

Comparison of CRISPR–Cas Immune Systems in Healthcare-Related PathogensSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.