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Perturbation biology models predict c-Myc as an effective co-target in RAF inhibitor resistant melanoma cells
Anil Korkut, Weiqing Wang, Emek Demir, Bülent Arman Aksoy, Xiaohong Jing, Evan Molinelli, Özgün Babur, Debra Bemis, David B. Solit, Christine Pratilas, Chris Sander
doi: https://doi.org/10.1101/008201
Anil Korkut
1Computational Biology Center
Weiqing Wang
1Computational Biology Center
Emek Demir
1Computational Biology Center
Bülent Arman Aksoy
1Computational Biology Center
6Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, USA
Xiaohong Jing
1Computational Biology Center
Evan Molinelli
1Computational Biology Center
Özgün Babur
1Computational Biology Center
Debra Bemis
1Computational Biology Center
David B. Solit
2Human Oncology and Pathogeenesis Program; Departments of
3Medicine
Christine Pratilas
4Pediatrics
5Program in Molecular Pharmacology and Chemistry, Memorial Sloan Kettering Cancer Center
Chris Sander
1Computational Biology Center
Article usage
Posted August 21, 2014.
Perturbation biology models predict c-Myc as an effective co-target in RAF inhibitor resistant melanoma cells
Anil Korkut, Weiqing Wang, Emek Demir, Bülent Arman Aksoy, Xiaohong Jing, Evan Molinelli, Özgün Babur, Debra Bemis, David B. Solit, Christine Pratilas, Chris Sander
bioRxiv 008201; doi: https://doi.org/10.1101/008201
Perturbation biology models predict c-Myc as an effective co-target in RAF inhibitor resistant melanoma cells
Anil Korkut, Weiqing Wang, Emek Demir, Bülent Arman Aksoy, Xiaohong Jing, Evan Molinelli, Özgün Babur, Debra Bemis, David B. Solit, Christine Pratilas, Chris Sander
bioRxiv 008201; doi: https://doi.org/10.1101/008201
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