{"id":"https://openalex.org/W3205106126","doi":"https://doi.org/10.1109/cibcb49929.2021.9562802","title":"Predicting Drug-Drug Interactions Using Meta-path Based Similarities","display_name":"Predicting Drug-Drug Interactions Using Meta-path Based Similarities","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3205106126","doi":"https://doi.org/10.1109/cibcb49929.2021.9562802","mag":"3205106126"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb49929.2021.9562802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb49929.2021.9562802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038658652","display_name":"Farhan Tanvir","orcid":"https://orcid.org/0009-0008-8526-8159"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Farhan Tanvir","raw_affiliation_strings":["Department of Computer Science, Oklahoma State University, Stillwater, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076972917","display_name":"Muhammad Ifte Khairul Islam","orcid":"https://orcid.org/0009-0008-1293-400X"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Ifte Khairul Islam","raw_affiliation_strings":["Department of Computer Science, Oklahoma State University, Stillwater, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080080406","display_name":"Esra Akba\u015f","orcid":"https://orcid.org/0000-0002-8817-2442"},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Esra Akbas","raw_affiliation_strings":["Department of Computer Science, Oklahoma State University, Stillwater, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038658652"],"corresponding_institution_ids":["https://openalex.org/I115475287"],"apc_list":null,"apc_paid":null,"fwci":1.7756,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87020038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.7425256371498108},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323042154312134},{"id":"https://openalex.org/keywords/drug-drug-interaction","display_name":"Drug-drug interaction","score":0.6781269311904907},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.550395667552948},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4947904944419861},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.44671133160591125},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.4175300598144531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39553359150886536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3745715022087097},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.2168847620487213},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17148447036743164}],"concepts":[{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.7425256371498108},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323042154312134},{"id":"https://openalex.org/C2910466267","wikidata":"https://www.wikidata.org/wiki/Q718753","display_name":"Drug-drug interaction","level":3,"score":0.6781269311904907},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.550395667552948},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4947904944419861},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.44671133160591125},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.4175300598144531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39553359150886536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3745715022087097},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.2168847620487213},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17148447036743164},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb49929.2021.9562802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb49929.2021.9562802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1786203129","https://openalex.org/W1996087298","https://openalex.org/W2022580894","https://openalex.org/W2091439417","https://openalex.org/W2109480754","https://openalex.org/W2109482131","https://openalex.org/W2154851992","https://openalex.org/W2166468869","https://openalex.org/W2203034355","https://openalex.org/W2242818087","https://openalex.org/W2336207313","https://openalex.org/W2417677256","https://openalex.org/W2492705755","https://openalex.org/W2625343706","https://openalex.org/W2743159750","https://openalex.org/W2753758798","https://openalex.org/W2767560037","https://openalex.org/W2786016794","https://openalex.org/W2808154606","https://openalex.org/W2943714799","https://openalex.org/W2962756421","https://openalex.org/W2997159096","https://openalex.org/W3007103258","https://openalex.org/W3035011799","https://openalex.org/W3104097132","https://openalex.org/W3106159631","https://openalex.org/W3125958120","https://openalex.org/W3154625936","https://openalex.org/W6687599110","https://openalex.org/W6716936452","https://openalex.org/W6779393347"],"related_works":["https://openalex.org/W3082755771","https://openalex.org/W2395332729","https://openalex.org/W2407625558","https://openalex.org/W2485789143","https://openalex.org/W2040338448","https://openalex.org/W2415873281","https://openalex.org/W2463344692","https://openalex.org/W4248267070","https://openalex.org/W2341529717","https://openalex.org/W4251539487"],"abstract_inverted_index":{"Drug-drug":[0],"interaction":[1],"(DDI)":[2],"indicates":[3],"the":[4,29,37,68,125,159],"event":[5],"where":[6],"a":[7,64,85,111],"particular":[8],"drug's":[9],"desired":[10],"course":[11],"of":[12,32,140,161],"action":[13],"is":[14,48,55,171],"modified":[15],"when":[16],"taken":[17],"together":[18],"with":[19,164],"other":[20,97,165],"drugs":[21,95,177],"(s).":[22],"DDIs":[23,62],"may":[24],"hamper,":[25],"enhance,":[26],"or":[27],"reduce":[28],"expected":[30],"effect":[31],"either":[33],"drug":[34,66],"or,":[35],"at":[36],"worst":[38],"possible":[39,61],"scenario,":[40],"cause":[41],"an":[42],"adverse":[43],"side":[44,104],"effect.":[45],"While":[46],"it":[47,54,194],"crucial":[49],"to":[50,58,116,144,155,202],"identify":[51],"drug-drug":[52],"interactions,":[53],"quite":[56,172],"impossible":[57],"detect":[59],"all":[60],"for":[63,77,89,106,147],"new":[65,176,189],"during":[67],"clinical":[69],"trial.":[70],"Therefore,":[71],"many":[72],"computational":[73],"methods":[74,199],"are":[75,142],"proposed":[76],"this":[78,81],"task.":[79],"In":[80],"paper,":[82],"we":[83,123,151],"propose":[84],"novel":[86],"method,":[87],"HIN-DDI":[88,170,186],"discovering":[90],"DDIs.":[91],"This":[92],"method":[93],"considers":[94],"and":[96,103,157,191],"biomedical":[98],"entities":[99,131],"like":[100],"proteins,":[101],"pathways,":[102],"effects,":[105],"DDI":[107,148],"prediction.":[108,149],"We":[109],"design":[110],"heterogeneous":[112],"information":[113],"network":[114],"(HIN)":[115],"model":[117],"relations":[118],"between":[119],"these":[120,130],"entities.":[121],"Afterward,":[122],"extract":[124],"rich":[126],"semantic":[127],"relationships":[128],"among":[129],"using":[132],"different":[133,145],"meta-path-based":[134],"topological":[135],"features.":[136],"An":[137],"extensive":[138,153],"set":[139],"features":[141],"fed":[143],"classifiers":[146],"Moreover,":[150],"run":[152],"experiments":[154],"compare":[156],"evaluate":[158],"effectiveness":[160],"HIN-DD":[162],"I":[163],"methods.":[166],"Results":[167],"exhibit":[168],"that":[169],"effective":[173],"in":[174],"predicting":[175],"as":[178,180],"well":[179],"existing":[181,184],"drugs.":[182],"Unlike":[183],"works,":[185],"can":[187,195],"predict":[188],"drugs,":[190],"more":[192],"importantly,":[193],"impressively":[196],"outmatch":[197],"baseline":[198],"by":[200],"up":[201],"63%.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}