{"id":"https://openalex.org/W4205760186","doi":"https://doi.org/10.1109/bibm52615.2021.9669392","title":"A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms","display_name":"A Meta-Path based Drug-Target Prediction Model with Collaborative Attention Mechanisms","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4205760186","doi":"https://doi.org/10.1109/bibm52615.2021.9669392"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669392","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103757287","display_name":"Bing Hu","orcid":"https://orcid.org/0009-0006-9078-5076"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Hu","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102998273","display_name":"Feng Xia","orcid":"https://orcid.org/0000-0002-4172-254X"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xia","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016093001","display_name":"Ruolan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruolan Chen","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015486123","display_name":"Shuting Jin","orcid":"https://orcid.org/0000-0002-8113-9367"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuting Jin","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026771763","display_name":"Xiangrong Liu","orcid":"https://orcid.org/0000-0001-9885-1978"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":null,"first_page":"678","last_page":"681"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10375","display_name":"Pharmacogenetics and Drug Metabolism","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9341930150985718},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.8279420137405396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7049279808998108},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6380568742752075},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5967535376548767},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5802670121192932},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.5507984757423401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5256772637367249},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.5092180967330933},{"id":"https://openalex.org/keywords/drug-target","display_name":"Drug target","score":0.4272230863571167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36130690574645996},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.17951032519340515},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.1585659682750702},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1347091794013977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10319045186042786}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9341930150985718},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.8279420137405396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7049279808998108},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6380568742752075},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5967535376548767},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5802670121192932},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.5507984757423401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5256772637367249},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.5092180967330933},{"id":"https://openalex.org/C2989108626","wikidata":"https://www.wikidata.org/wiki/Q904407","display_name":"Drug target","level":2,"score":0.4272230863571167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36130690574645996},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.17951032519340515},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.1585659682750702},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1347091794013977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10319045186042786},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669392","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1979537657","https://openalex.org/W1986995673","https://openalex.org/W1998898494","https://openalex.org/W2066201825","https://openalex.org/W2087064593","https://openalex.org/W2117235735","https://openalex.org/W2122863289","https://openalex.org/W2139736926","https://openalex.org/W2145578524","https://openalex.org/W2153838454","https://openalex.org/W2161607603","https://openalex.org/W2753953057","https://openalex.org/W2767891136","https://openalex.org/W2899070097","https://openalex.org/W2899903294","https://openalex.org/W2952522777","https://openalex.org/W2963351448","https://openalex.org/W2966787092","https://openalex.org/W3093194543"],"related_works":["https://openalex.org/W2553548503","https://openalex.org/W1967404732","https://openalex.org/W2226749982","https://openalex.org/W3045995536","https://openalex.org/W1968386238","https://openalex.org/W4308253407","https://openalex.org/W4310831746","https://openalex.org/W3206915023","https://openalex.org/W2119629574","https://openalex.org/W4379010217"],"abstract_inverted_index":{"The":[0],"discovery":[1],"and":[2,23,46,56,70],"confirmation":[3],"o":[4],"f":[5],"d":[6],"rug-target":[7],"interactions":[8],"plays":[9],"an":[10,65],"important":[11],"role":[12],"for":[13],"multiple":[14],"pharmacology,":[15],"drug":[16,18,24,55],"discovery,":[17],"repositioning,":[19],"side":[20],"effect":[21],"prediction":[22,35],"resistance.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29],"propose":[30],"a":[31],"meta-path-based":[32],"collaborative":[33],"attention":[34],"model":[36,63],"that":[37,61],"effectively":[38],"learns":[39],"the":[40,51,62],"explicit":[41],"representation":[42],"of":[43],"drugs,":[44],"targets,":[45],"meta-path":[47],"contexts":[48],"to":[49],"predict":[50],"potential":[52],"relationships":[53],"between":[54],"target.":[57],"Experimental":[58],"results":[59],"prove":[60],"has":[64],"excellent":[66],"performance":[67],"in":[68],"predictability":[69],"interpretability.":[71]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}