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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Autores principales: Alexander Ling, R. Stephanie Huang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea: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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