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 pathogenesisA comparative study of disease genes and drug targets in the human protein interactome
Sun J, Zhu K, Zheng W, Xu H. A comparative study of disease genes and drug targets in the human protein interactome. BMC Bioinformatics 2015, 16: s1. PMID: 25861037, PMCID: PMC4402590, DOI: 10.1186/1471-2105-16-s5-s1.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesDisease genesDrug targetsHuman protein-coding genesHuman protein-protein interaction networkProtein-protein interaction networkProtein-coding genesHuman protein interactomeComplex diseasesNovel drug targetsProtein interactomeAnatomical Therapeutic Chemical (ATC) classificationInteraction networksDisease proteinAssociation studiesGenesDisease categoriesInteractomeProteinMajor disease categoriesDifferent disease categoriesFirst comprehensive comparisonTargetTreatment efficacyHigh betweenness