BMC Bioinformatics · 2020 · 11 citations · 31 references
Life SciencesPharmacologyClinical PharmacologyDrug DiscoveryMolecular PharmacologyDepression PharmacotherapyDrug-herb InteractionsDrug-target Interaction NetworksMedicinal Plant KnowledgeMedicinal PlantsNetwork PharmacologyEnrichment AnalysisGene Ontology AnalysisGene Ontology EnrichmentHerbal Drug DiscoveryKegg Pathway EnrichmentMedicinal HerbsProtein-protein Interaction Network AnalysisTraditional Chinese Medicine
BACKGROUND: In recent years, Traditional Chinese Medicine (TCM) and alternative medicine have been widely used along with western drugs as a complementary form of treatment. In this study, we first use the scientific literature to identify western drugs with obvious side effects. Then, we find TCM alternatives for these western drugs to ameliorate their side effects. RESULTS: We used depression as a case study. To evaluate our method, we showed the relation between herb-ingredients-target-disease for representative alternative herbs of western drugs. Further, a protein-protein interaction network of western drugs and alternative herbs was produced, and we performed enrichment analysis of the targets of the active ingredients of the herbs and examined the enrichment of Gene Ontology terms for Biological Process, Cellular Component, and Molecular Function and KEGG Pathway levels, to show how these targets affect different levels of gene expression. CONCLUSION: Our proposed method is able to select herbs that are highly relevant to the target indication (depression) and are able to treat the side effects caused by the target drug. The compounds from our selected alternative herbal medicines can therefore be complementary to the western drugs and ameliorate their side effects, which may help in the development of new drugs.
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