{"id":"https://openalex.org/W7126122687","doi":"https://doi.org/10.1109/bibm66473.2025.11356745","title":"Cross-Domain Multi-Modal Transfer Learning for Target Identification of TCM's Compounds","display_name":"Cross-Domain Multi-Modal Transfer Learning for Target Identification of TCM's Compounds","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126122687","doi":"https://doi.org/10.1109/bibm66473.2025.11356745"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124252115","display_name":"Huan Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huan Gu","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124202717","display_name":"Xunpeng Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunpeng Xiao","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124289557","display_name":"Yuling Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuling Wang","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034700892","display_name":"Chongyu Wang","orcid":"https://orcid.org/0009-0001-5499-2418"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyu Wang","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085442585","display_name":"Kun Yang","orcid":"https://orcid.org/0000-0003-1700-9688"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuo Yang","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115839934","display_name":"Xuezhong Zho","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuezhong Zhou","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044"],"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Jiaotong University,Beling Key Lab of Traic Data Analysis and Mining,Department of Artificial inteligence,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124252115"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78619326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"413","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9363999962806702,"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":0.9363999962806702,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.010200000368058681,"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":0.009499999694526196,"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/transfer-of-learning","display_name":"Transfer of learning","score":0.722100019454956},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5099999904632568},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4943999946117401},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4058000147342682},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.39089998602867126},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3903999924659729},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.35569998621940613}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.722100019454956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026000022888184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6696000099182129},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5835000276565552},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5099999904632568},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4943999946117401},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4058000147342682},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3903999924659729},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C77075516","wikidata":"https://www.wikidata.org/wiki/Q6027324","display_name":"Inductive transfer","level":5,"score":0.34279999136924744},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2619999945163727},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2018518196","https://openalex.org/W2058708125","https://openalex.org/W2342603028","https://openalex.org/W2585958134","https://openalex.org/W2785947426","https://openalex.org/W2860192827","https://openalex.org/W2970628659","https://openalex.org/W3022701528","https://openalex.org/W3028589594","https://openalex.org/W3096561213","https://openalex.org/W3209185641","https://openalex.org/W4205773061","https://openalex.org/W4283259285","https://openalex.org/W4386747390","https://openalex.org/W4394735397","https://openalex.org/W4400762160"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,55,106],"of":[2,95],"compound-protein":[3],"interactions":[4],"(CPIs)":[5],"is":[6],"essential":[7],"for":[8,67,104],"drug":[9,115],"discovery.":[10,116],"In":[11],"traditional":[12],"Chinese":[13],"medicine":[14,46],"(TCM),":[15],"limited":[16,110],"and":[17,63,70],"low-quality":[18],"CPI":[19,54,105],"data":[20,111],"hinder":[21],"deep":[22],"learning":[23,27,40],"models":[24],"from":[25,49,57],"effectively":[26],"compound-target":[28],"representations.":[29],"To":[30],"address":[31],"this,":[32],"we":[33],"propose":[34],"CMTarget,":[35],"a":[36,101],"crossdomain":[37],"multi-modal":[38],"transfer":[39,74,78],"framework":[41,103],"that":[42,84],"leverages":[43],"abundant":[44],"Western":[45],"CPIs":[47],"(7,331":[48],"DrugBank)":[50],"to":[51,77],"improve":[52],"TCM":[53,108],"(901":[56],"HIT2.0).":[58],"CMTarget":[59,85],"integrates":[60],"sequence,":[61],"structure,":[62],"knowledge":[64,79],"graph":[65],"information":[66],"robust":[68],"representations":[69],"employs":[71],"an":[72],"interaction":[73],"module":[75],"(InterNet)":[76],"across":[80],"domains.":[81],"Experiments":[82],"show":[83],"significantly":[86],"outperforms":[87],"state-of-the-art":[88],"baselines.":[89],"Ablation":[90],"studies":[91],"confirm":[92],"the":[93],"effectiveness":[94],"its":[96],"components.":[97],"This":[98],"work":[99],"provides":[100],"practical":[102],"in":[107],"under":[109],"conditions,":[112],"facilitating":[113],"novel":[114]},"counts_by_year":[],"updated_date":"2026-02-01T03:34:12.195049","created_date":"2026-01-30T00:00:00"}
