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AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins

Anti-CRISPR (Acr) proteins naturally inhibit CRISPR-Cas adaptive immune systems across bacterial and archaeal domains of life. This emerging field has caused a paradigm shift in the way we think about the CRISPR-Cas system, and promises a number of useful applications from gene editing to phage ther...

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Autores principales: Wang, Jiawei, Dai, Wei, Li, Jiahui, Li, Qi, Xie, Ruopeng, Zhang, Yanju, Stubenrauch, Christopher, Lithgow, Trevor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779044/
https://www.ncbi.nlm.nih.gov/pubmed/33137193
http://dx.doi.org/10.1093/nar/gkaa951
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author Wang, Jiawei
Dai, Wei
Li, Jiahui
Li, Qi
Xie, Ruopeng
Zhang, Yanju
Stubenrauch, Christopher
Lithgow, Trevor
author_facet Wang, Jiawei
Dai, Wei
Li, Jiahui
Li, Qi
Xie, Ruopeng
Zhang, Yanju
Stubenrauch, Christopher
Lithgow, Trevor
author_sort Wang, Jiawei
collection PubMed
description Anti-CRISPR (Acr) proteins naturally inhibit CRISPR-Cas adaptive immune systems across bacterial and archaeal domains of life. This emerging field has caused a paradigm shift in the way we think about the CRISPR-Cas system, and promises a number of useful applications from gene editing to phage therapy. As the number of verified and predicted Acrs rapidly expands, few online resources have been developed to deal with this wealth of information. To overcome this shortcoming, we developed AcrHub, an integrative database to provide an all-in-one solution for investigating, predicting and mapping Acr proteins. AcrHub catalogs 339 non-redundant experimentally validated Acrs and over 70 000 predicted Acrs extracted from genome sequence data from a diverse range of prokaryotic organisms and their viruses. It integrates state-of-the-art predictors to predict potential Acrs, and incorporates three analytical modules: similarity analysis, phylogenetic analysis and homology network analysis, to analyze their relationships with known Acrs. By interconnecting all modules as a platform, AcrHub presents enriched and in-depth analysis of known and potential Acrs and therefore provides new and exciting insights into the future of Acr discovery and validation. AcrHub is freely available at http://pacrispr.erc.monash.edu/AcrHub/.
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spelling pubmed-77790442021-01-07 AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins Wang, Jiawei Dai, Wei Li, Jiahui Li, Qi Xie, Ruopeng Zhang, Yanju Stubenrauch, Christopher Lithgow, Trevor Nucleic Acids Res Database Issue Anti-CRISPR (Acr) proteins naturally inhibit CRISPR-Cas adaptive immune systems across bacterial and archaeal domains of life. This emerging field has caused a paradigm shift in the way we think about the CRISPR-Cas system, and promises a number of useful applications from gene editing to phage therapy. As the number of verified and predicted Acrs rapidly expands, few online resources have been developed to deal with this wealth of information. To overcome this shortcoming, we developed AcrHub, an integrative database to provide an all-in-one solution for investigating, predicting and mapping Acr proteins. AcrHub catalogs 339 non-redundant experimentally validated Acrs and over 70 000 predicted Acrs extracted from genome sequence data from a diverse range of prokaryotic organisms and their viruses. It integrates state-of-the-art predictors to predict potential Acrs, and incorporates three analytical modules: similarity analysis, phylogenetic analysis and homology network analysis, to analyze their relationships with known Acrs. By interconnecting all modules as a platform, AcrHub presents enriched and in-depth analysis of known and potential Acrs and therefore provides new and exciting insights into the future of Acr discovery and validation. AcrHub is freely available at http://pacrispr.erc.monash.edu/AcrHub/. Oxford University Press 2020-11-02 /pmc/articles/PMC7779044/ /pubmed/33137193 http://dx.doi.org/10.1093/nar/gkaa951 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Wang, Jiawei
Dai, Wei
Li, Jiahui
Li, Qi
Xie, Ruopeng
Zhang, Yanju
Stubenrauch, Christopher
Lithgow, Trevor
AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins
title AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins
title_full AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins
title_fullStr AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins
title_full_unstemmed AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins
title_short AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins
title_sort acrhub: an integrative hub for investigating, predicting and mapping anti-crispr proteins
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779044/
https://www.ncbi.nlm.nih.gov/pubmed/33137193
http://dx.doi.org/10.1093/nar/gkaa951
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