DrugComb
> COMMON LINK WITH (PUB. & NAME DIFFERENT) bio.tools/predrbr (DENGLAB.ORG), bio.tools/deepsacon (DENGLAB.ORG), bio.tools/predhs (DENGLAB.ORG) | an integrative cancer drug combination data portal | DrugComb is an open-access, community-driven data portal where the results of drug combination screening studies for a large variety of cancer cell lines are accumulated, standardized and harmonized. An actively expanding array of data visualization and computational tools is provided for the analysis of drug combination data | Please pay attention that the template header format is changed. Analysis function is also updated | response column should be renamed to inhibition as in the template file | Sharing data leads to novel knowledge | Start analyzing your own drug combination data by uploading | File should be a comma separated value(csv)
Description
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> COMMON LINK WITH (PUB. & NAME DIFFERENT) bio.tools/predrbr (DENGLAB.ORG), bio.tools/deepsacon (DENGLAB.ORG), bio.tools/predhs (DENGLAB.ORG) | an integrative cancer drug combination data portal | DrugComb is an open-access, community-driven data portal where the results of drug combination screening studies for a large variety of cancer cell lines are accumulated, standardized and harmonized. An actively expanding array of data visualization and computational tools is provided for the analysis of drug combination data | Please pay attention that the template header format is changed. Analysis function is also updated | response column should be renamed to inhibition as in the template file | Sharing data leads to novel knowledge | Start analyzing your own drug combination data by uploading | File should be a comma separated value(csv)
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:06.433365
Webpage:
https://drugcomb.orgWebpage
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Name: UnlicenseLicence name
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Publications
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DrugComb: an integrative cancer drug combination data portal
PMID: 31066443
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.433365
Publications
More detailed information about this field from each metasource.
DrugComb: an integrative cancer drug combination data portal
PMID: 31066443
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.433365
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DrugComb: an integrative cancer drug combination data portal
PubMed citations: 43.
43 articles citing: DrugComb: an integrative cancer drug combination data portal
Drug delivery strategy in hepatocellular carcinoma therapy. PMID:35248060
A community challenge for a pancancer drug mechanism of action inference from perturbational profile data. PMID:35106508
De novo individualized disease modules reveal the synthetic penetrance of genes and inform personalized treatment regimens. PMID:34876496
ScaffComb: A Phenotype-Based Framework for Drug Combination Virtual Screening in Large-Scale Chemical Datasets. PMID:34723439
Identification of miRNA Signature Associated With Erectile Dysfunction in Type 2 Diabetes Mellitus by Support Vector Machine-Recursive Feature Elimination. PMID:34707644
Prediction and identification of synergistic compound combinations against pancreatic cancer cells. PMID:34585118
Synergistic Interactions of Cannabidiol with Chemotherapeutic Drugs in MCF7 Cells: Mode of Interaction and Proteomics Analysis of Mechanisms. PMID:34576262
Machine learning methods, databases and tools for drug combination prediction. PMID:34477201
Revealing biomarkers associated with PARP inhibitors based on genetic interactions in cancer genome. PMID:34471490
Comparative analysis of molecular fingerprints in prediction of drug combination effects. PMID:34401895
Machine learning in the prediction of cancer therapy. PMID:34377366
Machine learning approaches for drug combination therapies. PMID:34368832
Metabolomic Identification of Anticancer Metabolites of Australian Propolis and Proteomic Elucidation of Its Synergistic Mechanisms with Doxorubicin in the MCF7 Cells. PMID:34360606
Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects. PMID:34347041
pdCSM-cancer: Using Graph-Based Signatures to Identify Small Molecules with Anticancer Properties. PMID:34213323
A Systems Approach to Brain Tumor Treatment. PMID:34202449
Using response surface models to analyze drug combinations. PMID:34119666
DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal. PMID:34060634
LigAdvisor: a versatile and user-friendly web-platform for drug design. PMID:34023895
Utilizing graph machine learning within drug discovery and development. PMID:34013350
Improved Treatment Outcomes by Using Patient Specific Drug Combinations in Mammalian Target of Rapamycin Activated Advanced Metastatic Cancers. PMID:33935721
Drug target ranking for glioblastoma multiforme. PMID:33902757
The Landscape of Signaling Pathways and Proteasome Inhibitors Combinations in Multiple Myeloma. PMID:33799793
The tumor therapy landscape of synthetic lethality. PMID:33627666
The Aurora kinase/β-catenin axis contributes to dexamethasone resistance in leukemia. PMID:33597638
Cytotoxicity of Seaweed Compounds, Alone or Combined to Reference Drugs, against Breast Cell Lines Cultured in 2D and 3D. PMID:33572635
Evidence for distinct mechanisms of small molecule inhibitors of filovirus entry. PMID:33539432
Control of replication stress and mitosis in colorectal cancer stem cells through the interplay of PARP1, MRE11 and RAD51. PMID:33531658
Modifying Adaptive Therapy to Enhance Competitive Suppression. PMID:33260773
canSAR: update to the cancer translational research and drug discovery knowledgebase. PMID:33219674
CellMiner Cross-Database (CellMinerCDB) version 1.2: Exploration of patient-derived cancer cell line pharmacogenomics. PMID:33196823
A Middle-Out Modeling Strategy to Extend a Colon Cancer Logical Model Improves Drug Synergy Predictions in Epithelial-Derived Cancer Cell Lines. PMID:33195403
H-RACS: a handy tool to rank anti-cancer synergistic drugs. PMID:33173014
Optimized Combination of HDACI and TKI Efficiently Inhibits Metabolic Activity in Renal Cell Carcinoma and Overcomes Sunitinib Resistance. PMID:33126775
A novel estimator of the interaction matrix in Graphical Gaussian Model of omics data using the entropy of non-equilibrium systems. PMID:33067612
Anticancer drug synergy prediction in understudied tissues using transfer learning. PMID:33040150
Graph-based prediction of Protein-protein interactions with attributed signed graph embedding. PMID:32693790
SYNERGxDB: an integrative pharmacogenomic portal to identify synergistic drug combinations for precision oncology. PMID:32442307
PaccMann: a web service for interpretable anticancer compound sensitivity prediction. PMID:32402082
Deep graph embedding for prioritizing synergistic anticancer drug combinations. PMID:32153729
Charting the Fragmented Landscape of Drug Synergy. PMID:32113653
Exploration of databases and methods supporting drug repurposing: a comprehensive survey. PMID:32055842
DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy. PMID:31665429
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informatics
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.433365
drug metabolism
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.433365
drug discovery
metasource: bio.tools
version: extracted_at: 2022-11-04T11:29:06.433365
Tags
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informatics
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:06.433365
drug metabolism
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:06.433365
drug discovery
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:29:06.433365
informatics drug metabolism drug discovery
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