| Online-Ressource |
Verfasst von: | Douglass, Eugene F. [VerfasserIn]  |
| Allaway, Robert J. [VerfasserIn]  |
| Szalai, Bence [VerfasserIn]  |
| Wang, Wenyu [VerfasserIn]  |
| Tian, Tingzhong [VerfasserIn]  |
| Fernández-Torras, Adrià [VerfasserIn]  |
| Realubit, Ron [VerfasserIn]  |
| Karan, Charles [VerfasserIn]  |
| Zheng, Shuyu [VerfasserIn]  |
| Pessia, Alberto [VerfasserIn]  |
| Tanoli, Ziaurrehman [VerfasserIn]  |
| Jafari, Mohieddin [VerfasserIn]  |
| Wan, Fangping [VerfasserIn]  |
| Li, Shuya [VerfasserIn]  |
| Xiong, Yuanpeng [VerfasserIn]  |
| Duran-Frigola, Miquel [VerfasserIn]  |
| Bertoni, Martino [VerfasserIn]  |
| Badia-i-Mompel, Pau [VerfasserIn]  |
| Mateo, Lídia [VerfasserIn]  |
| Guitart-Pla, Oriol [VerfasserIn]  |
| Chung, Verena [VerfasserIn]  |
| Tang, Jing [VerfasserIn]  |
| Zeng, Jianyang [VerfasserIn]  |
| Aloy, Patrick [VerfasserIn]  |
| Sáez Rodríguez, Julio [VerfasserIn]  |
| Guinney, Justin [VerfasserIn]  |
| Gerhard, Daniela S. [VerfasserIn]  |
| Califano, Andrea [VerfasserIn]  |
Titel: | A community challenge for a pancancer drug mechanism of action inference from perturbational profile data |
Verf.angabe: | Eugene F. Douglass, Robert J. Allaway, Bence Szalai, Wenyu Wang, Tingzhong Tian, Adrià Fernández-Torras, Ron Realubit, Charles Karan, Shuyu Zheng, Alberto Pessia, Ziaurrehman Tanoli, Mohieddin Jafari, Fangping Wan, Shuya Li, Yuanpeng Xiong, Miquel Duran-Frigola, Martino Bertoni, Pau Badia-i-Mompel, Lídia Mateo, Oriol Guitart-Pla, Verena Chung, Jing Tang, Jianyang Zeng, Patrick Aloy, Julio Saez-Rodriguez, Justin Guinney, Daniela S. Gerhard, and Andrea Califano |
E-Jahr: | 2022 |
Jahr: | January 18, 2022 |
Umfang: | 20 S. |
Fussnoten: | Gesehen am 20.12.2022 |
Titel Quelle: | Enthalten in: Cell reports. Medicine |
Ort Quelle: | Cambridge, MA : Cell Press, 2020 |
Jahr Quelle: | 2022 |
Band/Heft Quelle: | 3(2022), 1, Artikel-ID 100492, Seite 1-13, e1-e7 |
ISSN Quelle: | 2666-3791 |
Abstract: | The Columbia Cancer Target Discovery and Development (CTD2) Center is developing PANACEA, a resource comprising dose-responses and RNA sequencing (RNA-seq) profiles of 25 cell lines perturbed with ∼400 clinical oncology drugs, to study a tumor-specific drug mechanism of action. Here, this resource serves as the basis for a DREAM Challenge assessing the accuracy and sensitivity of computational algorithms for de novo drug polypharmacology predictions. Dose-response and perturbational profiles for 32 kinase inhibitors are provided to 21 teams who are blind to the identity of the compounds. The teams are asked to predict high-affinity binding targets of each compound among ∼1,300 targets cataloged in DrugBank. The best performing methods leverage gene expression profile similarity analysis as well as deep-learning methodologies trained on individual datasets. This study lays the foundation for future integrative analyses of pharmacogenomic data, reconciliation of polypharmacology effects in different tumor contexts, and insights into network-based assessments of drug mechanisms of action. |
DOI: | doi:10.1016/j.xcrm.2021.100492 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1016/j.xcrm.2021.100492 |
| Volltext: https://www.sciencedirect.com/science/article/pii/S2666379121003694 |
| DOI: https://doi.org/10.1016/j.xcrm.2021.100492 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | community challenge |
| DREAM challenge |
| pharmacogenomics |
| polypharmacology |
K10plus-PPN: | 1828140600 |
Verknüpfungen: | → Zeitschrift |
¬A¬ community challenge for a pancancer drug mechanism of action inference from perturbational profile data / Douglass, Eugene F. [VerfasserIn]; January 18, 2022 (Online-Ressource)