Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action

Computational models that can predict drug combination efficacy are often based on drug synergy. Here, the authors develop a different approach to computationally predict the efficacy of drug combinations using monotherapy data from high-throughput cancer cell line screens.

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Auteurs principaux:	Alexander Ling, R. Stephanie Huang
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2020
Sujets:	Science Q
Accès en ligne:	https://doaj.org/article/d1fa96cd03394bc89c33eaee9b5d9687
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spelling	oai:doaj.org-article:d1fa96cd03394bc89c33eaee9b5d96872021-12-02T17:31:10ZComputationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action10.1038/s41467-020-19563-62041-1723https://doaj.org/article/d1fa96cd03394bc89c33eaee9b5d96872020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19563-6https://doaj.org/toc/2041-1723Computational models that can predict drug combination efficacy are often based on drug synergy. Here, the authors develop a different approach to computationally predict the efficacy of drug combinations using monotherapy data from high-throughput cancer cell line screens.Alexander LingR. Stephanie HuangNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Alexander Ling R. Stephanie Huang Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action
description	Computational models that can predict drug combination efficacy are often based on drug synergy. Here, the authors develop a different approach to computationally predict the efficacy of drug combinations using monotherapy data from high-throughput cancer cell line screens.
format	article
author	Alexander Ling R. Stephanie Huang
author_facet	Alexander Ling R. Stephanie Huang
author_sort	Alexander Ling
title	Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action
title_short	Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action
title_full	Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action
title_fullStr	Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action
title_full_unstemmed	Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action
title_sort	computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d1fa96cd03394bc89c33eaee9b5d9687
work_keys_str_mv	AT alexanderling computationallypredictingclinicaldrugcombinationefficacywithcancercelllinescreensandindependentdrugaction AT rstephaniehuang computationallypredictingclinicaldrugcombinationefficacywithcancercelllinescreensandindependentdrugaction
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Computationally predicting clinical drug combination efficacy with cancer cell line screens and independent drug action

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