2017
A systematic analysis of FDA-approved anticancer drugs
Sun J, Wei Q, Zhou Y, Wang J, Liu Q, Xu H. A systematic analysis of FDA-approved anticancer drugs. BMC Systems Biology 2017, 11: 87. PMID: 28984210, PMCID: PMC5629554, DOI: 10.1186/s12918-017-0464-7.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic AgentsDrug ApprovalHumansMolecular Targeted TherapyNeoplasmsUnited StatesUnited States Food and Drug AdministrationConceptsDrug-cancer associationsAnticancer drugsTarget-based drugsEfficient anticancer drugsTarget-based approachCancer typesNew anticancer drugsNovel anticancer drugsClinical trial studyPharmaceutical researchTrial studyMore cancer typesUS FoodDrug AdministrationCytotoxic drugsPatient treatmentPotential candidateDrug mechanismsDrugsDrug repurposingSystematic investigationAssociationDrug targetsTyrosine kinaseSystematic discoveryCATTLE (CAncer treatment treasury with linked evidence): An integrated knowledge base for personalized oncology research and practice
Soysal E, Lee H, Zhang Y, Huang L, Chen X, Wei Q, Zheng W, Chang J, Cohen T, Sun J, Xu H. CATTLE (CAncer treatment treasury with linked evidence): An integrated knowledge base for personalized oncology research and practice. CPT Pharmacometrics & Systems Pharmacology 2017, 6: 188-196. PMID: 28296354, PMCID: PMC5351410, DOI: 10.1002/psp4.12174.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic AgentsBiomedical ResearchClinical Trials as TopicDatabases, FactualDrug DiscoveryHumansKnowledge BasesNeoplasmsPrecision Medicine
2016
Automated identification of molecular effects of drugs (AIMED)
Fathiamini S, Johnson A, Zeng J, Araya A, Holla V, Bailey A, Litzenburger B, Sanchez N, Khotskaya Y, Xu H, Meric-Bernstam F, Bernstam E, Cohen T. Automated identification of molecular effects of drugs (AIMED). Journal Of The American Medical Informatics Association 2016, 23: 758-765. PMID: 27107438, PMCID: PMC4926748, DOI: 10.1093/jamia/ocw030.Peer-Reviewed Original ResearchToward Repurposing Metformin as a Precision Anti-Cancer Therapy Using Structural Systems Pharmacology
Hart T, Dider S, Han W, Xu H, Zhao Z, Xie L. Toward Repurposing Metformin as a Precision Anti-Cancer Therapy Using Structural Systems Pharmacology. Scientific Reports 2016, 6: 20441. PMID: 26841718, PMCID: PMC4740793, DOI: 10.1038/srep20441.Peer-Reviewed Original ResearchConceptsPrecision anti-cancer therapyMolecular basisAnti-cancer therapyStructural systems pharmacologyProtein-protein interactionsDrug target identificationNetwork biology analysisMolecular targetsInteractomic dataGenetic interactionsStructural proteomeGenetic networksKey molecular targetsPhenotypic responsesKinase targetsBiology analysisCancer mutationsPleiotropic effectsAnti-cancer effectsNetwork biomarkersTarget identificationGenetic biomarkersSystems pharmacology approachKey nodesTarget
2015
Deciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin Action
Sun J, Zhao M, Jia P, Wang L, Wu Y, Iverson C, Zhou Y, Bowton E, Roden D, Denny J, Aldrich M, Xu H, Zhao Z. Deciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin Action. PLOS Computational Biology 2015, 11: e1004202. PMID: 26083494, PMCID: PMC4470683, DOI: 10.1371/journal.pcbi.1004202.Peer-Reviewed Original ResearchConceptsGWAS datasetsPathway networkDisease genesGenome-wide association study datasetDrug targetsSignal transduction networksSignal transduction cascadeMultiple signaling pathwaysDrug-induced gene expressionNovel drug targetsTransduction networksTransduction cascadeEnrichment analysisGene expressionCommon genesMolecular mechanismsSignaling pathwaysGenesNovel MycLiterature miningMolecular modePathwayMetformin actionDrug actionDisease pathogenesisColorectal cancer drug target prediction using ontology-based inference and network analysis
Tao C, Sun J, Zheng W, Chen J, Xu H. Colorectal cancer drug target prediction using ontology-based inference and network analysis. Database 2015, 2015: bav015. PMID: 25818893, PMCID: PMC4375358, DOI: 10.1093/database/bav015.Peer-Reviewed Original ResearchMeSH KeywordsAntineoplastic AgentsColorectal NeoplasmsDatabases, FactualDrug Delivery SystemsDrug DesignHumansNeoplasm ProteinsConceptsColorectal cancer