Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset. - Wikidata - awgldk - TriplyDB

Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset.

Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset.

http://www.wikidata.org/entity/Q30384542

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Leveraging big data to transform target selection and drug discovery Improving anticancer drug development begins with cell culture: misinformation perpetrated by the misuse of cytotoxicity assays Optimized design and analysis of preclinical intervention studies in vivo Applications of chemogenomic library screening in drug discovery Integrated genetic and pharmacologic interrogation of rare cancers Drug repurposing from the perspective of pharmaceutical companies.An unbiased metric of antiproliferative drug effect in vitro.Polypharmacology in Precision Oncology: Current Applications and Future Prospects Integrating heterogeneous drug sensitivity data from cancer pharmacogenomic studies.Improved prediction of PARP inhibitor response and identification of synergizing agents through use of a novel gene expression signature generation algorithm Contextualization of drug-mediator relations using evidence networks.SAMHD1 protects cancer cells from various nucleoside-based antimetabolites.Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays Reversal of cancer gene expression correlates with drug efficacy and reveals therapeutic targets Choose and Use Your Chemical Probe Wisely to Explore Cancer Biology.A genetic basis for the variation in the vulnerability of cancer to DNA damage.Targeting SAMHD1 with the Vpx protein to improve cytarabine therapy for hematological malignancies.The Power of Sophisticated Phenotypic Screening and Modern Mechanism-of-Action Methods.Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs.Disease signatures for schizophrenia and bipolar disorder using patient-derived induced pluripotent stem cells.A landscape of pharmacogenomic interactions in cancer.Cancer network activity associated with therapeutic response and synergism.Cancer biomarker discovery is improved by accounting for variability in general levels of drug sensitivity in pre-clinical models.Logic models to predict continuous outputs based on binary inputs with an application to personalized cancer therapy.DIFFERENTIAL PATHWAY DEPENDENCY DISCOVERY ASSOCIATED WITH DRUG RESPONSE ACROSS CANCER CELL LINES.CATTLE (CAncer treatment treasury with linked evidence): An integrated knowledge base for personalized oncology research and practice.KRAS mutant colorectal cancer gene signatures identified angiotensin II receptor blockers as potential therapies.Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies.Decomposing Oncogenic Transcriptional Signatures to Generate Maps of Divergent Cellular States.Vomocytosis of live pathogens from macrophages is regulated by the atypical MAP kinase ERK5 Improved anticancer drug response prediction in cell lines using matrix factorization with similarity regularization.Progress towards a public chemogenomic set for protein kinases and a call for contributions.TBK1 Provides Context-Selective Support of the Activated AKT/mTOR Pathway in Lung Cancer.Defining a Cancer Dependency Map.Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies.Chemical probes: The many genes of drug mechanism.Predictive approaches for drug combination discovery in cancer.Non-kinase targets of protein kinase inhibitors.Stem cell-derived neurons in the development of targeted treatment for schizophrenia and bipolar disorder.

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Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset.

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2015年の論文

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2015年学术文章

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2015年学术文章

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2015年学术文章

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2015年学术文章

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2015年學術文章

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Cancer Discovery

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Harnessing Connectivity in a Large-Scale Small-Molecule Sensitivity Dataset.

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Alykhan F Shamji

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Ava Li

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P2860

Synthetic lethal interaction of combined BCL-XL and MEK inhibition promotes tumor regressions in KRAS mutant cancer models

PANTHER in 2013: modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic trees

Dual kinase-bromodomain inhibitors for rationally designed polypharmacology

Activating mutations in ALK provide a therapeutic target in neuroblastoma.

Effective use of PI3K and MEK inhibitors to treat mutant Kras G12D and PIK3CA H1047R murine lung cancers.

Receptor tyrosine kinases exert dominant control over PI3K signaling in human KRAS mutant colorectal cancers.

Unresponsiveness of colon cancer to BRAF(V600E) inhibition through feedback activation of EGFR.

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

Systematic identification of genomic markers of drug sensitivity in cancer cells

The NCI60 human tumour cell line anticancer drug screen

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11

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5

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Brinton Seashore-Ludlow

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26482930

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