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Multi-task learning predicts drug combination synergy in cells and in the clinic
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/prp2.149openalex-snapshot
Analysis of drug combinations: current methodological landscape
inferredcites →https://doi.org/10.1007/s10585-008-9200-4openalex-snapshot
Kinase switching in mesenchymal-like non-small cell lung cancer lines contributes to EGFR inhibitor resistance through pathway redundancy
inferredcites →https://doi.org/10.1007/s11523-016-0463-4openalex-snapshot
Resistance to Targeted Therapies in Renal Cancer: The Importance of Changing the Mechanism of Action
inferredcites →https://doi.org/10.1016/j.ccr.2006.03.029openalex-snapshot
A dual PI3 kinase/mTOR inhibitor reveals emergent efficacy in glioma
inferredcites →https://doi.org/10.1016/j.chembiol.2016.07.023openalex-snapshot
A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials
inferredcites →https://doi.org/10.1016/j.csbj.2015.09.001openalex-snapshot
Searching for Drug Synergy in Complex Dose–Response Landscapes Using an Interaction Potency Model
inferredcites →https://doi.org/10.1016/j.drudis.2015.09.003openalex-snapshot
Modelling of compound combination effects and applications to efficacy and toxicity: state-of-the-art, challenges and perspectives
inferredcites →https://doi.org/10.1016/j.molmed.2013.07.009openalex-snapshot
‘Pathway drug cocktail’: targeting Ras signaling based on structural pathways
inferredcites →https://doi.org/10.1016/s0009-9236(01)92726-2openalex-snapshot
Assessment of cytochrome P450 activity by a five-drug cocktail approach
inferredcites →https://doi.org/10.1038/nature09627openalex-snapshot
COT drives resistance to RAF inhibition through MAP kinase pathway reactivation
inferredcites →https://doi.org/10.1038/nbt.2284openalex-snapshot
Combinatorial drug therapy for cancer in the post-genomic era
inferredcites →https://doi.org/10.1038/nm.3388openalex-snapshot
The quest to overcome resistance to EGFR-targeted therapies in cancer
inferredcites →https://doi.org/10.1038/nrg.2016.69openalex-snapshot
Crowdsourcing biomedical research: leveraging communities as innovation engines
inferredcites →https://doi.org/10.1038/s41467-019-09799-2openalex-snapshot
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
inferredcites →https://doi.org/10.1073/pnas.1606301113openalex-snapshot
Prediction of multidimensional drug dose responses based on measurements of drug pairs
inferredcites →https://doi.org/10.1093/bioinformatics/btp697openalex-snapshot
DCDB: Drug combination database
inferredcites →https://doi.org/10.1093/bioinformatics/btt345openalex-snapshot
PiHelper: an open source framework for drug-target and antibody-target data
inferredcites →https://doi.org/10.1093/bioinformatics/btw570openalex-snapshot
Precrec: fast and accurate precision–recall and ROC curve calculations in R
inferredcites →https://doi.org/10.1093/bioinformatics/btx162openalex-snapshot
SynergyFinder: a web application for analyzing drug combination dose–response matrix data
inferredcites →https://doi.org/10.1093/infdis/137.2.122openalex-snapshot
A Method for Testing for Synergy with Any Number of Agents
inferredcites →https://doi.org/10.1093/nar/gkt1068openalex-snapshot
DrugBank 4.0: shedding new light on drug metabolism
inferredcites →https://doi.org/10.1101/134973openalex-snapshot
A New Big-Data Paradigm for Target Identification and Drug Discovery
inferredcites →https://doi.org/10.1101/243568openalex-snapshot
Identifying biomarkers of anti-cancer drug synergy using multi-task learning
inferredcites →https://doi.org/10.1101/288332openalex-snapshot
A Machine Learning Approach Predicts Tissue-Specific Drug Adverse Events
inferredcites →https://doi.org/10.1111/j.1744-7348.1939.tb06990.xopenalex-snapshot
THE TOXICITY OF POISONS APPLIED JOINTLY1
inferredcites →https://doi.org/10.1111/pcmr.12383openalex-snapshot
Severe gastrointestinal toxicity with administration of trametinib in combination with dabrafenib and ipilimumab
inferredcites →https://doi.org/10.1158/0008-5472.can-17-0489openalex-snapshot
The National Cancer Institute ALMANAC: A Comprehensive Screening Resource for the Detection of Anticancer Drug Pairs with Enhanced Therapeutic Activity
inferredcites →https://doi.org/10.1158/2159-8290.cd-12-0012openalex-snapshot
Circumventing Cancer Drug Resistance in the Era of Personalized Medicine
inferredcites →https://doi.org/10.1158/2159-8290.cd-14-0326openalex-snapshot
Dual Inhibition of EGFR with Afatinib and Cetuximab in Kinase Inhibitor–Resistant EGFR -Mutant Lung Cancer with and without T790M Mutations
inferredcites →https://doi.org/10.1172/jci32278openalex-snapshot
ErbB receptors: from oncogenes to targeted cancer therapies
inferredcites →https://doi.org/10.1186/1471-2105-12-77openalex-snapshot
pROC: an open-source package for R and S+ to analyze and compare ROC curves
inferredcites →https://doi.org/10.1186/1752-0509-6-92openalex-snapshot
HINT: High-quality protein interactomes and their applications in understanding human disease
inferredcites →https://doi.org/10.1186/s13073-016-0379-8openalex-snapshot
Looking beyond the cancer cell for effective drug combinations
inferredcites →https://doi.org/10.1371/journal.pcbi.1002886openalex-snapshot
Interpretation of Genomic Variants Using a Unified Biological Network Approach
inferredcites →https://doi.org/10.1371/journal.pcbi.1005308openalex-snapshot
A Computational Approach for Identifying Synergistic Drug Combinations
inferredcites →https://doi.org/10.1371/journal.pone.0185862openalex-snapshot
Combined MEK and ERK inhibition overcomes therapy-mediated pathway reactivation in RAS mutant tumors
inferredcites →https://doi.org/10.1587/transinf.e97.d.1677openalex-snapshot
Tree-Based Ensemble Multi-Task Learning Method for Classification and Regression
inferredcites →https://doi.org/10.18632/oncotarget.16723openalex-snapshot
Combination therapy in combating cancer
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10462-023-10669-zopenalex-snapshot
A review on graph neural networks for predicting synergistic drug combinations
inferred← citeshttps://doi.org/10.1016/b978-0-12-801238-3.11569-7openalex-snapshot
Drug Combination Modeling
inferred← citeshttps://doi.org/10.1016/j.drudis.2019.09.002openalex-snapshot
Applying synergy metrics to combination screening data: agreements, disagreements and pitfalls
inferred← citeshttps://doi.org/10.1016/j.tips.2020.01.011openalex-snapshot
Charting the Fragmented Landscape of Drug Synergy
inferred← citeshttps://doi.org/10.1038/s41540-024-00421-wopenalex-snapshot
Using DeepSignalingFlow to mine signaling flows interpreting mechanism of synergy of cocktails
inferred← citeshttps://doi.org/10.1038/s41564-023-01486-9openalex-snapshot
Systematic analysis of drug combinations against Gram-positive bacteria
inferred← citeshttps://doi.org/10.1093/bib/bbab271openalex-snapshot
Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects
inferred← citeshttps://doi.org/10.1093/gigascience/giac087openalex-snapshot
SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning
inferred← citeshttps://doi.org/10.1093/noajnl/vdad134openalex-snapshot
Longitudinal drug synergy assessment using convolutional neural network image-decoding of glioblastoma single-spheroid cultures
inferred← citeshttps://doi.org/10.1101/2021.03.25.437003openalex-snapshot
Mining signaling flow to interpret mechanisms of synergy of drug combinations using deep graph neural networks
inferred← citeshttps://doi.org/10.1101/2024.11.04.621884openalex-snapshot
PAIRWISE: Deep Learning based Prediction of Effective Personalized Drug Combinations in Cancer
inferred← citeshttps://doi.org/10.1109/jbhi.2021.3126339openalex-snapshot
Trustworthy Deep Neural Network for Inferring Anticancer Synergistic Combinations
inferred← citeshttps://doi.org/10.1158/2159-8290.cd-21-0090openalex-snapshot
Artificial Intelligence in Cancer Research and Precision Medicine
inferred← citeshttps://doi.org/10.1186/s12859-022-05031-zopenalex-snapshot
Collectively encoding protein properties enriches protein language models
inferred← citeshttps://doi.org/10.14569/ijacsa.2019.0100577openalex-snapshot
A Novel Framework for Drug Synergy Prediction using Differential Evolution based Multinomial Random Forest
inferred← citeshttps://doi.org/10.20944/preprints202104.0395.v1openalex-snapshot
SynPred: Prediction of Drug Combination Effects in Cancer using Full-Agreement Synergy Metrics and Deep Learning
inferred← citeshttps://doi.org/10.3390/ijms22157840openalex-snapshot
Metabolomic Identification of Anticancer Metabolites of Australian Propolis and Proteomic Elucidation of Its Synergistic Mechanisms with Doxorubicin in the MCF7 Cells
inferred← citeshttps://doi.org/10.3390/ijms221810103openalex-snapshot
Synergistic Interactions of Cannabidiol with Chemotherapeutic Drugs in MCF7 Cells: Mode of Interaction and Proteomics Analysis of Mechanisms
inferred← citeshttps://doi.org/10.4018/979-8-3693-9725-1.ch012openalex-snapshot
Reframing Cancer as an Immunological Disorder Through Personalized Nutrition and AI Integration
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