ERD

Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug ...

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

A three-term recurrence relation for accurate evaluation of transition probabilities of the simple birth-and-death proce...

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Combined gene essentiality scoring improves the prediction of cancer dependency maps

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxe...

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Discovery of novel drug sensitivities in T-PLL by high-throughput ex vivo drug testing and mutation profiling

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Multi-parametric single cell evaluation defines distinct drug responses in healthy hematological cells that are retained...

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cance...

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

SynergyFinder: a web application for analyzing drug combination dose–response matrix data

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Comparative analysis of molecular fingerprints in prediction of drug combination effects.

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

A community challenge for a pancancer drug mechanism of action inference from perturbational profile data

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Patient-Customized Drug Combination Prediction and Testing for T-cell Prolymphocytic Leukemia Patients

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Bipartite network models to design combination therapies in acute myeloid leukaemia

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Using BERT to identify drug-target interactions from whole PubMed

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Periodic Reporting for period 4 - DrugComb (Informatics approaches for the rational selection of personalized cancer dru...

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Patient-Customized Drug Combination Prediction and Testing for T-cell Prolymphocytic Leukemia Patients

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cance...

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

DrugComb: an integrative cancer drug combination data portal

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Combined gene essentiality scoring improves the prediction of cancer dependency maps

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Making Sense of the Epigenome Using Data Integration Approaches

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Harmonizing across datasets to improve the transferability of drug combination prediction

Project: DrugComb

Updated at: 27-04-2024

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Project acronym DrugComb

Resources

Selected filters:

Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug ...

A three-term recurrence relation for accurate evaluation of transition probabilities of the simple birth-and-death proce...

Combined gene essentiality scoring improves the prediction of cancer dependency maps

Network pharmacology modeling identifies synergistic Aurora B and ZAK interaction in triple-negative breast cancer

Systematic drug sensitivity testing reveals synergistic growth inhibition by dasatinib or mTOR inhibitors with paclitaxe...

Discovery of novel drug sensitivities in T-PLL by high-throughput ex vivo drug testing and mutation profiling

Multi-parametric single cell evaluation defines distinct drug responses in healthy hematological cells that are retained...

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cance...

SynergyFinder: a web application for analyzing drug combination dose–response matrix data

Comparative analysis of molecular fingerprints in prediction of drug combination effects.

DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal

A community challenge for a pancancer drug mechanism of action inference from perturbational profile data

Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions

Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles

SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets

Patient-Customized Drug Combination Prediction and Testing for T-cell Prolymphocytic Leukemia Patients

Bipartite network models to design combination therapies in acute myeloid leukaemia

Network-guided identification of cancer-selective combinatorial therapies in ovarian cancer

Using BERT to identify drug-target interactions from whole PubMed

Periodic Reporting for period 4 - DrugComb (Informatics approaches for the rational selection of personalized cancer dru...

Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions

Patient-Customized Drug Combination Prediction and Testing for T-cell Prolymphocytic Leukemia Patients

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cance...

DrugComb: an integrative cancer drug combination data portal

Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles

Combined gene essentiality scoring improves the prediction of cancer dependency maps

Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations

Making Sense of the Epigenome Using Data Integration Approaches

Harmonizing across datasets to improve the transferability of drug combination prediction