{"id":"https://openalex.org/W7126038705","doi":"https://doi.org/10.1109/bibm66473.2025.11356735","title":"Heterogeneous Knowledge and Global-Local Structure Integration Framework for Drug Repositioning","display_name":"Heterogeneous Knowledge and Global-Local Structure Integration Framework for Drug Repositioning","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126038705","doi":"https://doi.org/10.1109/bibm66473.2025.11356735"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356735","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/A5124267905","display_name":"Xukun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xukun Zhang","raw_affiliation_strings":["School of Software and Microelectronics, Peking University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics, Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679043","display_name":"Hongzhi Liu","orcid":"https://orcid.org/0000-0001-7102-6855"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhi Liu","raw_affiliation_strings":["School of Software and Microelectronics, Peking University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Software and Microelectronics, Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114194211","display_name":"zhonghai wu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghai Wu","raw_affiliation_strings":["National Engineering Research Center for Software Engineering, Peking University,Beijing,China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Software Engineering, Peking University,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124267905"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.75496706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1965","last_page":"1969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.8687999844551086,"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":0.8687999844551086,"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":0.03790000081062317,"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":0.030899999663233757,"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/graph","display_name":"Graph","score":0.5931000113487244},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5800999999046326},{"id":"https://openalex.org/keywords/drug-repositioning","display_name":"Drug repositioning","score":0.5544000267982483},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.51419997215271},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4357999861240387},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3977999985218048},{"id":"https://openalex.org/keywords/knowledge-integration","display_name":"Knowledge integration","score":0.39169999957084656},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.3815000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440000176429749},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5931000113487244},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5800999999046326},{"id":"https://openalex.org/C103637391","wikidata":"https://www.wikidata.org/wiki/Q5308921","display_name":"Drug repositioning","level":3,"score":0.5544000267982483},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.51419997215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4569999873638153},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3977999985218048},{"id":"https://openalex.org/C56289545","wikidata":"https://www.wikidata.org/wiki/Q6423376","display_name":"Knowledge integration","level":3,"score":0.39169999957084656},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3815000057220459},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36629998683929443},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C2988224531","wikidata":"https://www.wikidata.org/wiki/Q20830730","display_name":"Network structure","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33399999141693115},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C110903229","wikidata":"https://www.wikidata.org/wiki/Q7449064","display_name":"Semantic integration","level":4,"score":0.29600000381469727},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.2632000148296356},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.25}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356735","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":[{"id":"https://openalex.org/G7677721048","display_name":null,"funder_award_id":"2022YFB2703301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1984084871","https://openalex.org/W2100929382","https://openalex.org/W2346950316","https://openalex.org/W2790385355","https://openalex.org/W2940524715","https://openalex.org/W2960557205","https://openalex.org/W3000082418","https://openalex.org/W3042221936","https://openalex.org/W3137864305","https://openalex.org/W3179782236","https://openalex.org/W4200140951","https://openalex.org/W4206547282","https://openalex.org/W4212876221","https://openalex.org/W4285041843","https://openalex.org/W4384616577","https://openalex.org/W4388595306","https://openalex.org/W4393360806","https://openalex.org/W4401179776","https://openalex.org/W4412008192"],"related_works":[],"abstract_inverted_index":{"Drug":[0],"repositioning":[1,119],"offers":[2],"a":[3,38,66],"cost-effective":[4],"strategy":[5],"for":[6,11,47,70],"identifying":[7],"new":[8],"therapeutic":[9],"uses":[10],"existing":[12,15],"drugs.":[13],"However,":[14],"methods":[16,128],"struggle":[17],"to":[18,26,55,84],"fully":[19],"utilize":[20],"domain":[21],"knowledge":[22,58,71],"and":[23,30,41,62,100,136],"structural":[24,107],"information":[25,102],"capture":[27,91],"complex":[28,92],"network":[29,93],"entity":[31],"features.":[32],"In":[33],"this":[34],"work,":[35],"we":[36,74],"propose":[37],"Heterogeneous":[39],"Knowledge":[40],"Global-Local":[42],"Structure":[43],"Integration":[44],"Framework":[45],"(HKGLS)":[46],"drug":[48,118],"repositioning.":[49],"HKGLS":[50,95,123],"leverages":[51],"graph":[52,68,110],"neural":[53,111],"networks":[54],"represent":[56],"multi-source":[57],"from":[59],"proteins,":[60],"diseases,":[61],"drugs,":[63],"then":[64],"utilizes":[65],"heterogeneous":[67],"structure":[69,77],"fusion.":[72],"Specifically,":[73],"constructed":[75],"protein":[76,87],"graphs":[78],"based":[79],"on":[80,115],"binding":[81],"pocket":[82],"residues":[83],"achieve":[85],"fine-grained":[86],"representation.":[88],"To":[89],"comprehensively":[90],"structures,":[94],"also":[96],"integrates":[97],"global":[98],"semantic":[99],"pharmacological":[101],"as":[103,105],"well":[104],"local":[106],"features":[108],"through":[109],"networks.":[112],"Extensive":[113],"experiments":[114],"three":[116],"public":[117],"datasets":[120],"show":[121],"that":[122],"outperforms":[124],"eight":[125],"state-of-the-art":[126],"baseline":[127],"across":[129],"various":[130],"evaluation":[131],"metrics,":[132],"validating":[133],"its":[134],"effectiveness":[135],"superiority.":[137]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}