{"id":"https://openalex.org/W4387846599","doi":"https://doi.org/10.1145/3583780.3615309","title":"Knowledge-enhanced Artificial Intelligence in Drug Discovery (KAIDD)","display_name":"Knowledge-enhanced Artificial Intelligence in Drug Discovery (KAIDD)","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846599","doi":"https://doi.org/10.1145/3583780.3615309"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","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/A5052391290","display_name":"Qingpeng Zhang","orcid":"https://orcid.org/0000-0002-6819-0686"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Qingpeng Zhang","raw_affiliation_strings":["The University of Hong Kong, Hong Kong SAR, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077519796","display_name":"Jiannan Yang","orcid":"https://orcid.org/0000-0002-0964-3462"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Jiannan Yang","raw_affiliation_strings":["The University of Hong Kong, Hong Kong SAR, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052391290"],"corresponding_institution_ids":["https://openalex.org/I177725633","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.2017,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56702081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5308","last_page":"5310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9975000023841858,"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":0.9975000023841858,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9014000296592712,"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/computer-science","display_name":"Computer science","score":0.6952234506607056},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.613398015499115},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5448212623596191},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.507665753364563},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.49517694115638733},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.4483430087566376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.447476327419281},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4436112642288208},{"id":"https://openalex.org/keywords/applications-of-artificial-intelligence","display_name":"Applications of artificial intelligence","score":0.4406474232673645},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.09961456060409546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952234506607056},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.613398015499115},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5448212623596191},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.507665753364563},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.49517694115638733},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.4483430087566376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.447476327419281},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4436112642288208},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.4406474232673645},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.09961456060409546},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2357854711","https://openalex.org/W4243448361","https://openalex.org/W2051700896","https://openalex.org/W1552255772","https://openalex.org/W2111524952","https://openalex.org/W2054759342","https://openalex.org/W4234690372","https://openalex.org/W4239551281","https://openalex.org/W2103484298","https://openalex.org/W1996233288"],"abstract_inverted_index":{"Artificial":[0,115],"Intelligence":[1,116],"(AI)":[2],"in":[3,58,71,117,191],"drug":[4,27,74,142],"discovery":[5,75],"is":[6,64],"a":[7,25,77,111,184],"rapidly":[8],"evolving":[9],"field":[10],"that":[11,68,158],"combines":[12],"computational":[13],"methods":[14],"with":[15,165],"biological":[16],"knowledge":[17,88,132],"and":[18,31,36,55,73,82,98,155,188],"applications.":[19],"Traditionally,":[20],"the":[21,47,53,96,101,126,135,147,160,174,195],"process":[22,187],"of":[23,39,43,80,86,100,106,129,137,162,169,180,194],"developing":[24],"new":[26],"has":[28],"been":[29],"time-consuming":[30],"expensive,":[32],"spanning":[33],"several":[34],"years":[35],"costing":[37],"billions":[38],"dollars.":[40],"The":[41,84],"emergence":[42],"AI":[44,69,90,139,163],"technologies":[45],"offers":[46],"potential":[48,189],"to":[49,66,94,124,149,176],"significantly":[50],"reduce":[51],"both":[52],"timeline":[54],"cost":[56],"involved":[57],"this":[59],"critical":[60],"endeavour.":[61],"However,":[62],"it":[63],"crucial":[65],"acknowledge":[67],"applications":[70,157],"pharmacy":[72],"require":[76],"high":[78],"degree":[79],"interpretability":[81],"transparency.":[83],"integration":[85],"domain":[87],"into":[89,134,151],"models":[91,140],"becomes":[92],"paramount":[93],"ensure":[95],"reliability":[97],"trustworthiness":[99],"generated":[102],"results.":[103],"In":[104],"light":[105],"these":[107],"considerations,":[108],"we":[109],"propose":[110],"workshop":[112,122],"on":[113],"\"Knowledge-enhanced":[114],"Drug":[118],"Discovery":[119],"(KAIDD).\"":[120],"This":[121],"aims":[123],"explore":[125],"profound":[127],"impact":[128],"incorporating":[130],"various":[131],"databases":[133],"development":[136],"explainable":[138],"for":[141,183],"discovery.":[143],"Participants":[144],"will":[145,172],"have":[146,173],"opportunity":[148,175],"delve":[150],"cutting-edge":[152],"research,":[153],"methodologies,":[154],"practical":[156],"leverage":[159],"fusion":[161],"techniques":[164],"domain-specific":[166],"knowledge.":[167],"Authors":[168],"accepted":[170],"papers":[171],"submit":[177],"extended":[178],"versions":[179],"their":[181],"work":[182],"full-paper":[185],"review":[186],"publication":[190],"Philosophical":[192],"Transactions":[193],"Royal":[196],"Society":[197],"B.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}