{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["6"],"submitter":["Udrescu L"],"pubmed_abstract":["Analyzing drug-drug interactions may unravel previously unknown drug action patterns, leading to the development of new drug discovery tools. We present a new approach to analyzing drug-drug interaction networks, based on clustering and topological community detection techniques that are specific to complex network science. Our methodology uncovers functional drug categories along with the intricate relationships between them. Using modularity-based and energy-model layout community detection algorithms, we link the network clusters to 9 relevant pharmacological properties. Out of the 1141 drugs from the DrugBank 4.1 database, our extensive literature survey and cross-checking with other databases such as Drugs.com, RxList, and DrugBank 4.3 confirm the predicted properties for 85% of the d"],"journal":["Scientific reports"],"pagination":["32745"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5013446"],"repository":["biostudies-literature"],"pubmed_title":["Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing."],"pmcid":["PMC5013446"],"pubmed_authors":["Topirceanu A","Sbarcea L","Udrescu M","Bogdan P","Kurunczi L","Iovanovici A","Udrescu L"],"additional_accession":[]},"is_claimable":false,"name":"Clustering drug-drug interaction networks with energy model layouts: community analysis and drug repurposing.","description":"Analyzing drug-drug interactions may unravel previously unknown drug action patterns, leading to the development of new drug discovery tools. We present a new approach to analyzing drug-drug interaction networks, based on clustering and topological community detection techniques that are specific to complex network science. Our methodology uncovers functional drug categories along with the intricate relationships between them. Using modularity-based and energy-model layout community detection algorithms, we link the network clusters to 9 relevant pharmacological properties. Out of the 1141 drugs from the DrugBank 4.1 database, our extensive literature survey and cross-checking with other databases such as Drugs.com, RxList, and DrugBank 4.3 confirm the predicted properties for 85% of the d","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Sep","modification":"2025-04-21T19:05:54.403Z","creation":"2019-03-27T02:23:36Z"},"accession":"S-EPMC5013446","cross_references":{"pubmed":["27599720"],"doi":["10.1038/srep32745"]}}