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A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data
- Publication Year :
- 2020
- Publisher :
- Cold Spring Harbor Laboratory, 2020.
-
Abstract
- SUMMARYThe Columbia Cancer Target Discovery and Development (CTD2) Center has developed PANACEA (PANcancer Analysis of Chemical Entity Activity), a collection of dose-response curves and perturbational profiles for 400 clinical oncology drugs in cell lines selected to optimally represent 19 cancer subtypes. This resource, developed to study tumor-specific drug mechanism of action, was instrumental in hosting a DREAM Challenge to assess computational models for de novo drug polypharmacology prediction. Dose-response and perturbational profiles for 32 kinase inhibitors were provided to 21 participating teams, who did not know the identity or nature of the compounds, and they were asked to predict high-affinity binding among ~1,300 possible protein targets. Best performing methods leveraged both gene expression profile similarity analysis, and 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 assessment of context-specific drug mechanism of action.
- Subjects :
- Drug
Clinical Oncology
0303 health sciences
Computational model
Computer science
media_common.quotation_subject
Inference
Computational biology
3. Good health
03 medical and health sciences
0302 clinical medicine
Mechanism of action
030220 oncology & carcinogenesis
Pharmacogenomics
medicine
Polypharmacology
medicine.symptom
030304 developmental biology
media_common
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........8d6105a6b5772c0f9a74a4d1989ec2ee
- Full Text :
- https://doi.org/10.1101/2020.12.21.423514