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.
Guardado en:
Autores principales: | , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d1fa96cd03394bc89c33eaee9b5d9687 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:d1fa96cd03394bc89c33eaee9b5d9687 |
---|---|
record_format |
dspace |
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 |
_version_ |
1718380701759307776 |