{"id":"https://openalex.org/W4313707003","doi":"https://doi.org/10.1093/bib/bbac596","title":"Predicting circRNA-drug sensitivity associations by learning multimodal networks using graph auto-encoders and attention mechanism","display_name":"Predicting circRNA-drug sensitivity associations by learning multimodal networks using graph auto-encoders and attention mechanism","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313707003","doi":"https://doi.org/10.1093/bib/bbac596","pmid":"https://pubmed.ncbi.nlm.nih.gov/36617209"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbac596","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbac596","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"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/A5100453376","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0003-4210-8864"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["School of Software, East China Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, East China Jiaotong University","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741607","display_name":"Hailin Chen","orcid":"https://orcid.org/0000-0002-5119-4517"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hailin Chen","raw_affiliation_strings":["School of Software, East China Jiaotong University"],"raw_orcid":"https://orcid.org/0000-0002-5119-4517","affiliations":[{"raw_affiliation_string":"School of Software, East China Jiaotong University","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100741607"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":3.959,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.95102211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"24","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11765","display_name":"Circular RNAs in diseases","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11765","display_name":"Circular RNAs in diseases","score":0.9994999766349792,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/computer-science","display_name":"Computer science","score":0.7044135332107544},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6973521709442139},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5171232223510742},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.5144686698913574},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5026202201843262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4969020187854767},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.4765515923500061},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3743838667869568},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16045185923576355},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14423322677612305},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.11277827620506287},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06975716352462769}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7044135332107544},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6973521709442139},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5171232223510742},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5144686698913574},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5026202201843262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4969020187854767},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.4765515923500061},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3743838667869568},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16045185923576355},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14423322677612305},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.11277827620506287},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06975716352462769},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000079962","descriptor_name":"RNA, Circular","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbac596","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbac596","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:36617209","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36617209","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2224960039","display_name":"\u57fa\u4e8e\u9776\u6807miRNA\u7684\u836f\u7269\u91cd\u5b9a\u4f4d\u9884\u6d4b\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61862026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1742190155","https://openalex.org/W2003436246","https://openalex.org/W2034305079","https://openalex.org/W2058835062","https://openalex.org/W2064165694","https://openalex.org/W2106029302","https://openalex.org/W2108068107","https://openalex.org/W2220553089","https://openalex.org/W2752131265","https://openalex.org/W2799307902","https://openalex.org/W2888193765","https://openalex.org/W2916534270","https://openalex.org/W2951438079","https://openalex.org/W2964015378","https://openalex.org/W2969715183","https://openalex.org/W3034800021","https://openalex.org/W3093030756","https://openalex.org/W3109958717","https://openalex.org/W3125047755","https://openalex.org/W3157330827","https://openalex.org/W3187582009","https://openalex.org/W3195247250","https://openalex.org/W3212148037","https://openalex.org/W3217673092","https://openalex.org/W4225752318","https://openalex.org/W4229005146","https://openalex.org/W4237456957","https://openalex.org/W4285803631","https://openalex.org/W4286795917","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6726873649","https://openalex.org/W6789792382","https://openalex.org/W6797464607","https://openalex.org/W6804401174"],"related_works":["https://openalex.org/W3120440802","https://openalex.org/W4287763734","https://openalex.org/W3035116611","https://openalex.org/W2134482271","https://openalex.org/W3044354590","https://openalex.org/W4212923699","https://openalex.org/W2744136723","https://openalex.org/W2923818335","https://openalex.org/W3094605108","https://openalex.org/W2893186803"],"abstract_inverted_index":{"Recent":[0],"studies":[1,153],"have":[2],"shown":[3],"that":[4,141,155],"the":[5,19,105,117,127,172],"expression":[6],"of":[7,13,21,79,130,176],"circRNAs":[8,44,82,101,121,131],"would":[9],"affect":[10],"drug":[11,46,123],"sensitivity":[12,47,68,124,164,181],"cells":[14],"and":[15,32,45,51,83,102,122,132],"thus":[16],"significantly":[17],"influence":[18],"efficacy":[20],"drugs.":[22,133],"Traditional":[23],"biomedical":[24,72],"experiments":[25],"to":[26,39,64,85,96,115],"validate":[27],"such":[28],"relationships":[29],"are":[30],"time-consuming":[31],"costly.":[33],"Therefore,":[34],"developing":[35],"effective":[36,159],"computational":[37],"methods":[38],"predict":[40,65,116],"potential":[41],"associations":[42,69,165],"between":[43,120],"is":[48,113,157],"an":[49,109,158],"important":[50],"urgent":[52],"task.":[53],"In":[54],"this":[55],"study,":[56],"we":[57],"propose":[58],"a":[59],"novel":[60],"method,":[61],"called":[62],"MNGACDA,":[63],"possible":[66],"circRNA-drug":[67,163,180],"for":[70,100,161],"further":[71],"screening.":[73],"First,":[74],"MNGACDA":[75,142,156,177],"uses":[76],"multiple":[77],"sources":[78],"information":[80],"from":[81,104],"drugs":[84,103],"construct":[86],"multimodal":[87,106],"networks.":[88,107],"It":[89],"then":[90],"employs":[91],"node-level":[92],"attention":[93],"graph":[94],"auto-encoders":[95],"obtain":[97],"low-dimensional":[98],"embeddings":[99],"Finally,":[108],"inner":[110],"product":[111],"decoder":[112],"applied":[114],"association":[118],"scores":[119],"based":[125,137],"on":[126,138],"embedding":[128],"representations":[129],"Extensive":[134],"experimental":[135],"results":[136,170],"cross-validations":[139],"show":[140],"outperforms":[143],"six":[144],"other":[145],"state-of-the-art":[146],"methods.":[147],"Furthermore,":[148],"excellent":[149],"performance":[150],"in":[151,166,178],"case":[152],"demonstrates":[154],"tool":[160],"predicting":[162],"real":[167],"situations.":[168],"These":[169],"confirm":[171],"reliable":[173],"prediction":[174],"ability":[175],"revealing":[179],"associations.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":8}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}