Machine-learning approach expands the repertoire of anti-CRISPR protein families

CRISPR-Cas is a host adaptive immunity system and viruses harbor diverse anti-CRISPR proteins (Acrs). Here, the authors develop a random forest machine-learning approach to predict Acrs, identifying 2500 candidate Acr families, which expand the current repertoire of predicted Acrs by two orders of m...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ayal B. Gussow, Allyson E. Park, Adair L. Borges, Sergey A. Shmakov, Kira S. Makarova, Yuri I. Wolf, Joseph Bondy-Denomy, Eugene V. Koonin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ebeb6afe4a8347318cf5044cb7657ab8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ebeb6afe4a8347318cf5044cb7657ab8
record_format	dspace
spelling	oai:doaj.org-article:ebeb6afe4a8347318cf5044cb7657ab82021-12-02T18:47:02ZMachine-learning approach expands the repertoire of anti-CRISPR protein families10.1038/s41467-020-17652-02041-1723https://doaj.org/article/ebeb6afe4a8347318cf5044cb7657ab82020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17652-0https://doaj.org/toc/2041-1723CRISPR-Cas is a host adaptive immunity system and viruses harbor diverse anti-CRISPR proteins (Acrs). Here, the authors develop a random forest machine-learning approach to predict Acrs, identifying 2500 candidate Acr families, which expand the current repertoire of predicted Acrs by two orders of magnitude.Ayal B. GussowAllyson E. ParkAdair L. BorgesSergey A. ShmakovKira S. MakarovaYuri I. WolfJoseph Bondy-DenomyEugene V. KooninNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ayal B. Gussow Allyson E. Park Adair L. Borges Sergey A. Shmakov Kira S. Makarova Yuri I. Wolf Joseph Bondy-Denomy Eugene V. Koonin Machine-learning approach expands the repertoire of anti-CRISPR protein families
description	CRISPR-Cas is a host adaptive immunity system and viruses harbor diverse anti-CRISPR proteins (Acrs). Here, the authors develop a random forest machine-learning approach to predict Acrs, identifying 2500 candidate Acr families, which expand the current repertoire of predicted Acrs by two orders of magnitude.
format	article
author	Ayal B. Gussow Allyson E. Park Adair L. Borges Sergey A. Shmakov Kira S. Makarova Yuri I. Wolf Joseph Bondy-Denomy Eugene V. Koonin
author_facet	Ayal B. Gussow Allyson E. Park Adair L. Borges Sergey A. Shmakov Kira S. Makarova Yuri I. Wolf Joseph Bondy-Denomy Eugene V. Koonin
author_sort	Ayal B. Gussow
title	Machine-learning approach expands the repertoire of anti-CRISPR protein families
title_short	Machine-learning approach expands the repertoire of anti-CRISPR protein families
title_full	Machine-learning approach expands the repertoire of anti-CRISPR protein families
title_fullStr	Machine-learning approach expands the repertoire of anti-CRISPR protein families
title_full_unstemmed	Machine-learning approach expands the repertoire of anti-CRISPR protein families
title_sort	machine-learning approach expands the repertoire of anti-crispr protein families
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/ebeb6afe4a8347318cf5044cb7657ab8
work_keys_str_mv	AT ayalbgussow machinelearningapproachexpandstherepertoireofanticrisprproteinfamilies AT allysonepark machinelearningapproachexpandstherepertoireofanticrisprproteinfamilies AT adairlborges machinelearningapproachexpandstherepertoireofanticrisprproteinfamilies AT sergeyashmakov machinelearningapproachexpandstherepertoireofanticrisprproteinfamilies AT kirasmakarova machinelearningapproachexpandstherepertoireofanticrisprproteinfamilies AT yuriiwolf machinelearningapproachexpandstherepertoireofanticrisprproteinfamilies AT josephbondydenomy machinelearningapproachexpandstherepertoireofanticrisprproteinfamilies AT eugenevkoonin machinelearningapproachexpandstherepertoireofanticrisprproteinfamilies
_version_	1718377714175442944

Machine-learning approach expands the repertoire of anti-CRISPR protein families

Ejemplares similares