{"id":"https://openalex.org/W4417250738","doi":"https://doi.org/10.1109/bibe66822.2025.00012","title":"An Integrative Deep Learning Model for Drug-Target Interaction Prediction","display_name":"An Integrative Deep Learning Model for Drug-Target Interaction Prediction","publication_year":2025,"publication_date":"2025-11-06","ids":{"openalex":"https://openalex.org/W4417250738","doi":"https://doi.org/10.1109/bibe66822.2025.00012"},"language":"en","primary_location":{"id":"doi:10.1109/bibe66822.2025.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe66822.2025.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE)","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/A5120776019","display_name":"Francesco Foder\u00e0","orcid":null},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Foder\u00e0","raw_affiliation_strings":["University of Palermo,Department of Engineering,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo,Department of Engineering,Palermo,Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060079183","display_name":"Salvatore Contino","orcid":"https://orcid.org/0000-0002-7476-1545"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Salvatore Contino","raw_affiliation_strings":["University of Palermo,Department of Engineering,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo,Department of Engineering,Palermo,Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027676813","display_name":"Antonino Fiannaca","orcid":"https://orcid.org/0000-0002-0114-4984"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210130743","display_name":"Institute for Biomedical Research and Innovation","ror":"https://ror.org/03byxpq91","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130743"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonino Fiannaca","raw_affiliation_strings":["National Research Council of Italy,CNR-ICAR,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council of Italy,CNR-ICAR,Palermo,Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210130743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015541058","display_name":"Alfonso Urso","orcid":"https://orcid.org/0000-0003-3018-1458"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210130743","display_name":"Institute for Biomedical Research and Innovation","ror":"https://ror.org/03byxpq91","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130743"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alfonso Urso","raw_affiliation_strings":["National Research Council of Italy,CNR-ICAR,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council of Italy,CNR-ICAR,Palermo,Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210130743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052997301","display_name":"Massimo La Rosa","orcid":"https://orcid.org/0000-0001-6718-7269"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210130743","display_name":"Institute for Biomedical Research and Innovation","ror":"https://ror.org/03byxpq91","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210130743"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo La Rosa","raw_affiliation_strings":["National Research Council of Italy,CNR-ICAR,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council of Italy,CNR-ICAR,Palermo,Italy","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210130743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029869755","display_name":"Roberto Pirrone","orcid":"https://orcid.org/0000-0001-9453-510X"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Pirrone","raw_affiliation_strings":["University of Palermo,Department of Engineering,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo,Department of Engineering,Palermo,Italy","institution_ids":["https://openalex.org/I900890020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5120776019"],"corresponding_institution_ids":["https://openalex.org/I900890020"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38257827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.8537999987602234,"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":0.8537999987602234,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.032099999487400055,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.017400000244379044,"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/deep-learning","display_name":"Deep learning","score":0.6218000054359436},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5467000007629395},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48089998960494995},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45559999346733093},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43070000410079956},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.38350000977516174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175999879837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6915000081062317},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6218000054359436},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5467000007629395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5127999782562256},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48089998960494995},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45559999346733093},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43070000410079956},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.38350000977516174},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibe66822.2025.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibe66822.2025.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unipa.it:10447/695870","is_oa":false,"landing_page_url":"https://hdl.handle.net/10447/695870","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3410032527","display_name":null,"funder_award_id":"CUP G71 24000090006","funder_id":"https://openalex.org/F4320326083","funder_display_name":"Regione Siciliana"},{"id":"https://openalex.org/G8578680641","display_name":null,"funder_award_id":"FOE-2021 DBA.AD005.225","funder_id":"https://openalex.org/F4320332647","funder_display_name":"Center for Neuroscience Research"}],"funders":[{"id":"https://openalex.org/F4320326083","display_name":"Regione Siciliana","ror":"https://ror.org/025079t78"},{"id":"https://openalex.org/F4320332647","display_name":"Center for Neuroscience Research","ror":"https://ror.org/05wvpxv85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2035585923","https://openalex.org/W2086286404","https://openalex.org/W2153838454","https://openalex.org/W2157142295","https://openalex.org/W2885020292","https://openalex.org/W2963351448","https://openalex.org/W3029836473","https://openalex.org/W3091963033","https://openalex.org/W3177500196","https://openalex.org/W3193928500","https://openalex.org/W4242853598","https://openalex.org/W4380742954","https://openalex.org/W4389946938","https://openalex.org/W4391691890","https://openalex.org/W4392791245","https://openalex.org/W4392913700","https://openalex.org/W4404458588","https://openalex.org/W4404511389","https://openalex.org/W4410897602","https://openalex.org/W4415470850"],"related_works":[],"abstract_inverted_index":{"The":[0,49,59,94,114],"technological":[1],"advancements":[2],"in":[3,120],"modern":[4],"therapeutic":[5],"studies":[6],"enable":[7],"progressively":[8],"more":[9],"effective":[10],"approaches":[11],"to":[12,41,63],"disease":[13],"treatments.":[14],"Despite":[15],"the":[16,43,83,91,102,112,117,125],"investigation":[17],"for":[18,55,68,111,136],"drug":[19],"interactions":[20],"remaining":[21],"crucial,":[22],"it":[23],"is":[24,61],"also":[25,123],"very":[26],"expensive":[27],"and":[28,71,116,130],"time-consuming.":[29],"Considering":[30],"especially":[31],"this":[32,121],"second":[33],"aspect,":[34],"several":[35],"strategies":[36],"have":[37],"been":[38],"recently":[39],"proposed":[40],"accelerate":[42],"discovery":[44],"of":[45,107,127],"a":[46,53,97,108,132],"treatment":[47],"solution.":[48],"following":[50],"paper":[51],"introduces":[52],"model":[54,95],"drug-target":[56],"interaction":[57],"prediction.":[58,93],"architecture":[60],"conceived":[62],"generate":[64],"feature":[65],"vectors":[66],"encoding":[67],"both":[69],"drugs":[70],"targets,":[72],"using":[73],"specifically":[74],"designed":[75],"neural":[76],"networks.":[77],"Further":[78],"data":[79],"processing":[80],"works":[81],"on":[82],"two":[84],"entities":[85],"separately,":[86],"combining":[87],"them":[88],"just":[89],"before":[90],"final":[92],"calculates":[96],"Boolean":[98],"output":[99],"that":[100],"implies":[101],"possible":[103],"presence,":[104],"or":[105],"absence,":[106],"beneficial":[109],"reaction":[110],"patient.":[113],"experiment":[115],"comparisons":[118],"described":[119],"work":[122],"prove":[124],"strengths":[126],"our":[128],"method":[129],"establish":[131],"promising":[133],"starting":[134],"point":[135],"future":[137],"developments.":[138]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-11T00:00:00"}