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Data Mining the NCI60 to Predict Generalized Cytotoxicity
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.bmc.2007.02.032openalex-snapshot
2D-autocorrelation descriptors for predicting cytotoxicity of naphthoquinone ester derivatives against oral human epidermoid carcinoma
inferredcites →https://doi.org/10.1016/j.bmcl.2005.10.079openalex-snapshot
A neural network based classification scheme for cytotoxicity predictions:Validation on 30,000 compounds
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COMPARE: a web accessible tool for investigating mechanisms of cell growth inhibition
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Description of several chemical structure file formats used by computer programs developed at Molecular Design Limited
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Chemical Data Mining of the NCI Human Tumor Cell Line Database
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Flexible Web Service Infrastructure for the Development and Deployment of Predictive Models
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Assessment of in Vitro and in Vivo Activities in the National Cancer Institute's Anticancer Screen with Respect to Chemical Structure, Target Specificity, and Mechanism of Action
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ADMET in silico modelling: towards prediction paradise?
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Integration of virtual and high-throughput screening
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SCREENING OF TOXIC COMPOUNDS IN MAMMALIAN CELL CULTURES
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Life Cycle of A Block Buster Drug: Discovery and Development of Omeprazole (PrilosecTM)
inferredcites →https://doi.org/10.1126/science.1105511openalex-snapshot
NIH Molecular Libraries Initiative
inferredcites →https://doi.org/10.1158/1078-0432.ccr-06-0290openalex-snapshot
Predicting Cancer Drug Response by Proteomic Profiling
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/chin.200843215openalex-snapshot
ChemInform Abstract: Data Mining the NCI60 to Predict Generalized Cytotoxicity.
inferred← citeshttps://doi.org/10.1002/cyto.a.20847openalex-snapshot
Chemical address tags of fluorescent bioimaging probes
inferred← citeshttps://doi.org/10.1002/minf.201300086openalex-snapshot
Computational Search for Possible Mechanisms of 4‐Thiazolidinones Anticancer Activity: The Power of Visualization
inferred← citeshttps://doi.org/10.1002/sam.10049openalex-snapshot
Gene expression associations with the growth inhibitory effects of small molecules on live cells: Specificity of effects and uniformity of mechanisms
inferred← citeshttps://doi.org/10.1007/s00280-010-1549-9openalex-snapshot
The slow cell death response when screening chemotherapeutic agents
inferred← citeshttps://doi.org/10.1007/s11095-018-2439-9openalex-snapshot
Naïve Bayesian Models for Vero Cell Cytotoxicity
inferred← citeshttps://doi.org/10.1016/j.addr.2008.12.002openalex-snapshot
Genomics: Applications in mechanism elucidation
inferred← citeshttps://doi.org/10.1016/j.chemolab.2010.06.008openalex-snapshot
Automatic feature subset selection for decision tree-based ensemble methods in the prediction of bioactivity
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Network-based characterization of drug-regulated genes, drug targets, and toxicity
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Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction
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Comparative Analysis of QSAR Models for Predicting pKa of Organic Oxygen Acids and Nitrogen Bases from Molecular Structure
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Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization
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pKa Prediction of Monoprotic Small Molecules the SMARTS Way
inferred← citeshttps://doi.org/10.1038/ncomms15932openalex-snapshot
A transcriptomics data-driven gene space accurately predicts liver cytopathology and drug-induced liver injury
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Predicting the Reliability of Drug-target Interaction Predictions with Maximum Coverage of Target Space
inferred← citeshttps://doi.org/10.1038/s41598-020-80561-1openalex-snapshot
Exploring gene knockout strategies to identify potential drug targets using genome-scale metabolic models
inferred← citeshttps://doi.org/10.1039/c6gc01058jopenalex-snapshot
Probabilistic diagram for designing chemicals with reduced potency to incur cytotoxicity
inferred← citeshttps://doi.org/10.1039/c6tx00252hopenalex-snapshot
Modelling compound cytotoxicity using conformal prediction and PubChem HTS data
inferred← citeshttps://doi.org/10.1039/c8ra00242hopenalex-snapshot
LC-MS based cell metabolic profiling of tumor cells: a new predictive method for research on the mechanism of action of anticancer candidates
inferred← citeshttps://doi.org/10.1080/1062936x.2016.1208272openalex-snapshot
Predictive models of cytotoxicity as mediated by exposure to chemicals or drugs
inferred← citeshttps://doi.org/10.1093/bioinformatics/btq550openalex-snapshot
Investigating the correlations among the chemical structures, bioactivity profiles and molecular targets of small molecules
inferred← citeshttps://doi.org/10.1101/2023.07.26.550714openalex-snapshot
Assessing the basal gene expression of cancer cell lines for in vitro transcriptomic toxicology screening
inferred← citeshttps://doi.org/10.1186/1758-2946-2-11openalex-snapshot
Predicting cytotoxicity from heterogeneous data sources with Bayesian learning
inferred← citeshttps://doi.org/10.1186/s12920-018-0336-zopenalex-snapshot
Unearthing new genomic markers of drug response by improved measurement of discriminative power
inferred← citeshttps://doi.org/10.12688/f1000research.10529.1openalex-snapshot
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data
inferred← citeshttps://doi.org/10.12688/f1000research.10529.2openalex-snapshot
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data
inferred← citeshttps://doi.org/10.1371/journal.pone.0044631openalex-snapshot
Integrating Constitutive Gene Expression and Chemoactivity: Mining the NCI60 Anticancer Screen
inferred← citeshttps://doi.org/10.2174/1389450120666190923162203openalex-snapshot
Bioinformatics Approaches for Anti-cancer Drug Discovery
inferred← citeshttps://doi.org/10.2174/156802610790232224openalex-snapshot
Two-Dimensional (2D) In Silico Models for Absorption, Distribution, Metabolism, Excretion and Toxicity (ADME/T) in Drug Discovery
inferred← citeshttps://doi.org/10.3390/medicina61101731openalex-snapshot
Novel 1-(2-Aryl-2-adamantyl)piperazine Derivatives Exhibit In Vitro Anticancer Activity Across Various Human Cancer Cell Lines, with Selective Efficacy Against Melanoma
inferred← citeshttps://doi.org/10.5483/bmbrep.2013.46.2.226openalex-snapshot
Somatic mutation patterns and compound response in cancers
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Développement d'une plateforme de prédiction in silico des propriétés ADME-Tox
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