Article

Deep characterization of cancer drugs mechanism of action by integrating large-scale genetic and drug screens

2022-10-19

Abstract excerpt

Knowing a drug’s mechanism of action (MOA) is essential for its clinical success by selecting the best indications, likely responders, and combinations. Yet knowledge of many drugs’ MOA remains lacking. Here we present DeepTarget, a computational tool for deep characterization of cancer drugs’ MOA by integrating existing large-scale genetic and drug screens. Spanning ∼1500 drugs across ∼18K possible target genes,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 317bf08a-1527-5c7a-b46b-77ffcfee0922
DOI: 10.1101/2022.10.17.512424

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep characterization of cancer drugs mechanism of action by integrating large-scale genetic and drug screensDOI 10.1101/2022.10.17.512424Read

A precision oncology-focused deep learning framework for personalized selection of cancer therapySemantic proximity Read

Deep learning-driven drug response prediction and mechanistic insights in cancer genomicsSemantic proximity Read

BKDRP: A Biological Knowledge-Driven Approach for Drug Response Prediction Using Multi-Omics Data in Cancer Cell LinesSemantic proximity Read

UniCure: A Foundation Model for Predicting Personalized Cancer Therapy ResponseSemantic proximity Read

Discovering the mechanism of action of drugs with a sparse explainable network.Semantic proximity Read

A Deep Learning Framework for Prediction of Clinical Drug Response of Cancer Patients and Identification of Drug Sensitivity Biomarkers using Preclinical SamplesSemantic proximity Read

DruID: Personalized <b>Dru</b> g Recommendations by <b>I</b> ntegrating Multiple Biomedical <b>D</b> atabases for CancerSemantic proximity Read

DROEG: a method for cancer drug response prediction based on omics and essential genes integrationSemantic proximity Read

Pan-Cancer Drug Sensitivity Prediction from Gene Expression using Deep LearningSemantic proximity Read

From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approachSemantic proximity Read

Explainable drug sensitivity prediction through cancer pathway enrichment.Semantic proximity Read

Integrated deep learned transcriptomic and structure-based predictor of clinical trials outcomesSemantic proximity Read