A multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery

Steven Chen et al. develop an automated, time-lapsed, high-content screen to quantify the responses of Schistosoma mansoni larvae to chemical insult. They apply their method to evaluate 45 static and kinetic response endpoints for seven drugs and screen 1323 approved drugs. Their work identifies ant...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Steven Chen, Brian M. Suzuki, Jakob Dohrmann, Rahul Singh, Michelle R. Arkin, Conor R. Caffrey
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/888782e568404fa1a89115d3e9a03ab1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:888782e568404fa1a89115d3e9a03ab1
record_format	dspace
spelling	oai:doaj.org-article:888782e568404fa1a89115d3e9a03ab12021-12-02T13:35:11ZA multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery10.1038/s42003-020-01402-52399-3642https://doaj.org/article/888782e568404fa1a89115d3e9a03ab12020-12-01T00:00:00Zhttps://doi.org/10.1038/s42003-020-01402-5https://doaj.org/toc/2399-3642Steven Chen et al. develop an automated, time-lapsed, high-content screen to quantify the responses of Schistosoma mansoni larvae to chemical insult. They apply their method to evaluate 45 static and kinetic response endpoints for seven drugs and screen 1323 approved drugs. Their work identifies anti-schistosomal compounds and underscores the value of quantifying motion in phenotypic drug discovery.Steven ChenBrian M. SuzukiJakob DohrmannRahul SinghMichelle R. ArkinConor R. CaffreyNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 3, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Steven Chen Brian M. Suzuki Jakob Dohrmann Rahul Singh Michelle R. Arkin Conor R. Caffrey A multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery
description	Steven Chen et al. develop an automated, time-lapsed, high-content screen to quantify the responses of Schistosoma mansoni larvae to chemical insult. They apply their method to evaluate 45 static and kinetic response endpoints for seven drugs and screen 1323 approved drugs. Their work identifies anti-schistosomal compounds and underscores the value of quantifying motion in phenotypic drug discovery.
format	article
author	Steven Chen Brian M. Suzuki Jakob Dohrmann Rahul Singh Michelle R. Arkin Conor R. Caffrey
author_facet	Steven Chen Brian M. Suzuki Jakob Dohrmann Rahul Singh Michelle R. Arkin Conor R. Caffrey
author_sort	Steven Chen
title	A multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery
title_short	A multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery
title_full	A multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery
title_fullStr	A multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery
title_full_unstemmed	A multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery
title_sort	multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/888782e568404fa1a89115d3e9a03ab1
work_keys_str_mv	AT stevenchen amultidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT brianmsuzuki amultidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT jakobdohrmann amultidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT rahulsingh amultidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT michellerarkin amultidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT conorrcaffrey amultidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT stevenchen multidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT brianmsuzuki multidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT jakobdohrmann multidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT rahulsingh multidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT michellerarkin multidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery AT conorrcaffrey multidimensionaltimelapsehighcontentscreeningplatformappliedtoschistosomiasisdrugdiscovery
_version_	1718392685673316352

A multi-dimensional, time-lapse, high content screening platform applied to schistosomiasis drug discovery

Ejemplares similares