Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Resistance to first line treatment is a major hurdle in cancer treatment, that can be overcome with drug combinations. Here, the authors provide a large drug combination screen across cancer cell lines to benchmark crowdsourced methods and to computationally predict drug synergies.

Bibliographic Details
Main Authors: Michael P. Menden, Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, AstraZeneca-Sanger Drug Combination DREAM Consortium, In Sock Jang, Zara Ghazoui, Mehmet Eren Ahsen, Robert Vogel, Elias Chaibub Neto, Thea Norman, Eric K. Y. Tang, Mathew J. Garnett, Giovanni Y. Di Veroli, Stephen Fawell, Gustavo Stolovitzky, Justin Guinney, Jonathan R. Dry, Julio Saez-Rodriguez
Format: Article
Language:English
Published: Nature Publishing Group 2019-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-09799-2

Internet

https://doi.org/10.1038/s41467-019-09799-2

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