Prediction of drug combinations by integrating molecular and pharmacological data
about
Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewSynergy Maps: exploring compound combinations using network-based visualizationBiomolecular Network-Based Synergistic Drug Combination DiscoveryCDA: combinatorial drug discovery using transcriptional response modulesCombination of a proteomics approach and reengineering of meso scale network models for prediction of mode-of-action for tyrosine kinase inhibitorsSystematic prediction of pharmacodynamic drug-drug interactions through protein-protein-interaction networkTarget inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathwaysA network inference method for large-scale unsupervised identification of novel drug-drug interactionsA network flow-based method to predict anticancer drug sensitivityA Network-Based Target Overlap Score for Characterizing Drug Combinations: High Correlation with Cancer Clinical Trial ResultsA Drug-Centric View of Drug Development: How Drugs Spread from Disease to DiseaseNLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised LearningPharmacogenomic and clinical data link non-pharmacokinetic metabolic dysregulation to drug side effect pathogenesisIntegrative analysis for identifying joint modular patterns of gene-expression and drug-response data.Combinatorial therapy discovery using mixed integer linear programming.Characterization of p38 MAPK isoforms for drug resistance study using systems biology approach.Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseasesA systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening.Exploring drug combinations in genetic interaction networkThe drug cocktail networkSystems pharmacology augments drug safety surveillanceDIGRE: Drug-Induced Genomic Residual Effect Model for Successful Prediction of Multidrug Effects.Ensemble inference and inferability of gene regulatory networks.A community computational challenge to predict the activity of pairs of compoundsSystematic synergy modeling: understanding drug synergy from a systems biology perspective.Combining genomic and network characteristics for extended capability in predicting synergistic drugs for cancer.Predicting new indications for approved drugs using a proteochemometric method.The exploration of network motifs as potential drug targets from post-translational regulatory networksAn Integrative Pharmacogenomic Approach Identifies Two-drug Combination Therapies for Personalized Cancer Medicine.Prediction of effective drug combinations by chemical interaction, protein interaction and target enrichment of KEGG pathways.Statistical and Ontological Analysis of Adverse Events Associated with Monovalent and Combination Vaccines against Hepatitis A and B Diseases.Predicting cooperative drug effects through the quantitative cellular profiling of response to individual drugs.GEAR: A database of Genomic Elements Associated with drug Resistance.Large-scale prediction of microRNA-disease associations by combinatorial prioritization algorithm.Network-based drug repositioning.Network pharmacology strategies toward multi-target anticancer therapies: from computational models to experimental design principles.Drug-pathway interaction prediction via multiple feature fusion.Unconventional screening approaches for antibiotic discovery.Advances in computational approaches in identifying synergistic drug combinations.Current Trends in Multidrug Optimization.
P2860
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P2860
Prediction of drug combinations by integrating molecular and pharmacological data
description
2011 nî lūn-bûn
@nan
2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Prediction of drug combinations by integrating molecular and pharmacological data
@ast
Prediction of drug combinations by integrating molecular and pharmacological data
@en
Prediction of drug combinations by integrating molecular and pharmacological data
@nl
type
label
Prediction of drug combinations by integrating molecular and pharmacological data
@ast
Prediction of drug combinations by integrating molecular and pharmacological data
@en
Prediction of drug combinations by integrating molecular and pharmacological data
@nl
prefLabel
Prediction of drug combinations by integrating molecular and pharmacological data
@ast
Prediction of drug combinations by integrating molecular and pharmacological data
@en
Prediction of drug combinations by integrating molecular and pharmacological data
@nl
P2860
P50
P3181
P1476
Prediction of drug combinations by integrating molecular and pharmacological data
@en
P2093
Michael Kuhn
Xing-Ming Zhao
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1002323
P407
P577
2011-12-29T00:00:00Z