2017
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports
Cai R, Liu M, Hu Y, Melton B, Matheny M, Xu H, Duan L, Waitman L. Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports. Artificial Intelligence In Medicine 2017, 76: 7-15. PMID: 28363289, PMCID: PMC6438384, DOI: 10.1016/j.artmed.2017.01.004.Peer-Reviewed Original ResearchConceptsDrug-drug interactionsTraditional association rule mining methodsAssociation rule mining methodAssociation rule discoveryAssociation rule miningRule mining methodAdverse Event Reporting SystemAdverse drug-drug interactionsAdverse event reportsAdverse eventsData-driven discoveryHigher-order associationsRule miningRule discoveryDrug safety surveillanceMining methodsBayesian networkDrug combinationsChallenging taskCausal associationDrug Administration Adverse Event Reporting SystemDDI identificationAdverse drug reactionsCombination of drugsEvent Reporting System
2016
Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature
Zhang Y, Wu H, Xu J, Wang J, Soysal E, Li L, Xu H. Leveraging syntactic and semantic graph kernels to extract pharmacokinetic drug drug interactions from biomedical literature. BMC Systems Biology 2016, 10: 67. PMID: 27585838, PMCID: PMC5009562, DOI: 10.1186/s12918-016-0311-2.Peer-Reviewed Original ResearchMeSH KeywordsBiomedical ResearchComputational BiologyComputer GraphicsData MiningDrug InteractionsPharmacokineticsPublicationsSemanticsConceptsPaths graph kernelGraph kernelsSemantic classesSemantic informationBiomedical literatureShallow semantic representationsText mining techniquesBest F-scoreAutomatic DDI extractionProblem of sparsenessDependency structureSemantic graphDDI detectionKnowledge basesDDI corpusF-scoreDDI extractionSemantic representationNovel approachExperimental resultsKernelHigh precisionInformationSparsenessGraphExtracting drug-enzyme relation from literature as evidence for drug drug interaction
Zhang Y, Wu H, Du J, Xu J, Wang J, Tao C, Li L, Xu H. Extracting drug-enzyme relation from literature as evidence for drug drug interaction. Journal Of Biomedical Semantics 2016, 7: 11. PMID: 26955465, PMCID: PMC4780188, DOI: 10.1186/s13326-016-0052-6.Peer-Reviewed Original Research
2014
Network‐Assisted Prediction of Potential Drugs for Addiction
Sun J, Huang L, Xu H, Zhao Z. Network‐Assisted Prediction of Potential Drugs for Addiction. BioMed Research International 2014, 2014: 258784. PMID: 24689033, PMCID: PMC3932722, DOI: 10.1155/2014/258784.Peer-Reviewed Original Research
2012
DTome: a web-based tool for drug-target interactome construction
Sun J, Wu Y, Xu H, Zhao Z. DTome: a web-based tool for drug-target interactome construction. BMC Bioinformatics 2012, 13: s7. PMID: 22901092, PMCID: PMC3372450, DOI: 10.1186/1471-2105-13-s9-s7.Peer-Reviewed Original ResearchConceptsWeb-based toolUser-friendly web interfaceWeb-based queriesRich data sourceDifferent knowledge basesDatabase schemaWeb interfaceVisualization processKnowledge basesComputational workflowDiscovery processData sourcesNetworkDrug-target interactionsDrugs' primary targetsDrug-target networkWorkflowEarly-stage drug discoveryNetwork analysisQueriesToolPromising approachDrug discovery processSchemaDetailed network analysisNetwork‐Assisted Investigation of Antipsychotic Drugs and Their Targets
Sun J, Xu H, Zhao Z. Network‐Assisted Investigation of Antipsychotic Drugs and Their Targets. Chemistry & Biodiversity 2012, 9: 900-910. PMID: 22589091, DOI: 10.1002/cbdv.201100356.Peer-Reviewed Original ResearchConceptsAdverse drug interactionsAntipsychotic drugsDrug interactionsDrug actionAtypical antipsychotic drugsTreatment of schizophreniaSevere mental disordersMolecular mechanismsPsychiatric medicationsReceptor profileMental disordersAntipsychoticsDrug-gene networkDrugsMolecular actionsDifferent molecular mechanismsDrugBank database