ArticleCell reports. Medicine2022
A community challenge for a pancancer drug mechanism of action inference from perturbational profile data.
Article in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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Who cites it
36 citing papers in PubMed.
- Systematic design of combination therapy by targeting master regulators of coexisting diffuse midline glioma cell states.Nature genetics · 2026Article
- DrugPTM-Bench: A Large-Scale Dataset for Predictive Modeling of Drug-Induced Cell Type-Specific Protein Post-Translational Modifications.bioRxiv : the preprint server for biology · 2026Article
- A Ponatinib-Associated Transcriptomic Signature: Implications for Cardiovascular Toxicity.International journal of molecular sciences · 2026Article
- Harnessing AI to fuse phenotypic signatures for drug target identification: progress in computational modeling.Briefings in bioinformatics · 2026Review
- Integrating artificial intelligence across the cancer drug discovery pipeline using a design-test-refine workflow.Frontiers in oncology · 2026Review
- Multimodal artificial intelligence and machine learning in oncology: from data integration to precision cancer care.Frontiers in digital health · 2026Review
- A human metabolic map of pharmacological perturbations reveals drug modes of action.Nature biotechnology · 2025Article
- DeepTarget predicts anti-cancer mechanisms of action of small molecules by integrating drug and genetic screens.NPJ precision oncology · 2025Article
- Enhancer RNA-mediated transcriptional regulatory programs reveal the malignant progression of glioma.Science advances · 2025Article
- NetworkCommons: bridging data, knowledge, and methods to build and evaluate context-specific biological networks.Bioinformatics (Oxford, England) · 2025Article
- Benchmarking of protein interaction databases for integration with manually reconstructed signalling network models.The Journal of physiology · 2024Article
- Assessing the impact of transcriptomics data analysis pipelines on downstream functional enrichment results.Nucleic acids research · 2024Article
- Attention-based approach to predict drug-target interactions across seven target superfamilies.Bioinformatics (Oxford, England) · 2024Article
- CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations.Bioinformatics (Oxford, England) · 2024Article
- Deep representation learning of chemical-induced transcriptional profile for phenotype-based drug discovery.Nature communications · 2024Article
- Targeting neddylation and sumoylation in chemoresistant triple negative breast cancer.NPJ breast cancer · 2024Article
- Inference of drug off-target effects on cellular signaling using interactome-based deep learning.iScience · 2024Article
- Cancer Mutations Converge on a Collection of Protein Assemblies to Predict Resistance to Replication Stress.Cancer discovery · 2024Article
- The Status Quo of Pharmacogenomics of Tyrosine Kinase Inhibitors in Precision Oncology: A Bibliometric Analysis of the Literature.Pharmaceutics · 2024Article
- Predicting anticancer synergistic drug combinations based on multi-task learning.BMC bioinformatics · 2023Article
Corrections and comments
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Authors and funding
29 authors.
Funding
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
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.