{"id":"https://openalex.org/W4409149303","doi":"https://doi.org/10.1145/3690624.3709389","title":"Cross-Species Insights: Transforming Drug Efficacy from Rats to Humans Using Tissue-Specific Generative Models","display_name":"Cross-Species Insights: Transforming Drug Efficacy from Rats to Humans Using Tissue-Specific Generative Models","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409149303","doi":"https://doi.org/10.1145/3690624.3709389"},"language":"en","primary_location":{"id":"doi:10.1145/3690624.3709389","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709389","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3690624.3709389","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093106438","display_name":"Sally Turutov","orcid":"https://orcid.org/0009-0001-0346-8763"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Sally Turutov","raw_affiliation_strings":["Technion - Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029708595","display_name":"Kira Radinsky","orcid":"https://orcid.org/0009-0007-7918-2204"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Kira Radinsky","raw_affiliation_strings":["Technion - Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion - Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5093106438"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08671481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2618","last_page":"2627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9596999883651733,"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/T10375","display_name":"Pharmacogenetics and Drug Metabolism","score":0.9505000114440918,"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/drug","display_name":"Drug","score":0.5664120316505432},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5316798090934753},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5256386995315552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4710913598537445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33467501401901245},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.31899791955947876},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.31731635332107544}],"concepts":[{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.5664120316505432},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5316798090934753},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5256386995315552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4710913598537445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33467501401901245},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.31899791955947876},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.31731635332107544}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690624.3709389","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709389","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3690624.3709389","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709389","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1988037271","https://openalex.org/W2151697120","https://openalex.org/W2735246657","https://openalex.org/W2913351693","https://openalex.org/W2972741532","https://openalex.org/W2997058986","https://openalex.org/W3100358278","https://openalex.org/W3168385357","https://openalex.org/W3174976929","https://openalex.org/W3205106126","https://openalex.org/W3209951118","https://openalex.org/W4230007416","https://openalex.org/W4378909195","https://openalex.org/W4392061709","https://openalex.org/W4393158492"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2380075625","https://openalex.org/W4390718435","https://openalex.org/W4390549206","https://openalex.org/W3137171911","https://openalex.org/W4379540039","https://openalex.org/W4237784285","https://openalex.org/W2374712251","https://openalex.org/W4383031710","https://openalex.org/W3211753092"],"abstract_inverted_index":{"Within":[0],"the":[1,6,76,88,106,114,144,148,157],"realm":[2],"of":[3],"drug":[4,158],"development,":[5],"transition":[7],"from":[8,103,117],"successful":[9],"animal":[10,27],"trials":[11],"to":[12,55,72,99,112,119,135,146],"human":[13,69],"clinical":[14],"efficacy":[15,61,133],"remains":[16],"a":[17,40,50,91],"daunting":[18],"challenge.":[19],"While":[20],"initial":[21],"outcomes":[22],"may":[23],"appear":[24],"promising":[25],"in":[26,32,62,67],"studies,":[28],"ensuring":[29],"similar":[30],"effectiveness":[31],"humans,":[33],"especially":[34],"across":[35,125],"specific":[36,68],"target":[37],"tissues,":[38,105,127],"presents":[39],"significant":[41],"obstacle.":[42],"To":[43],"address":[44],"this":[45,141],"pressing":[46],"concern,":[47],"we":[48],"introduce":[49],"novel":[51,92],"generative":[52,107],"model":[53,108,129,142],"tailored":[54],"optimize":[56],"molecules":[57,101],"that":[58,140],"have":[59],"demonstrated":[60],"rats":[63,118],"for":[64,150],"enhanced":[65,79],"performance":[66],"tissues.":[70],"Central":[71],"our":[73,128],"solution":[74],"is":[75],"transformer":[77],"architecture,":[78],"with":[80],"intricate":[81],"mechanisms":[82],"such":[83],"as":[84],"molecule":[85],"self-attention":[86],"within":[87],"encoder":[89],"and":[90,152],"dedicated":[93],"tissue-specific":[94],"generator.":[95],"Intuitively,":[96],"by":[97],"learning":[98],"generate":[100],"simultaneously":[102],"multiple":[104],"enhances":[109],"its":[110],"ability":[111],"perform":[113],"necessary":[115],"adaptations":[116],"humans.":[120],"Through":[121],"rigorous":[122],"empirical":[123],"evaluation":[124],"various":[126],"consistently":[130],"exhibits":[131],"remarkable":[132],"compared":[134],"existing":[136],"methods.":[137],"We":[138],"anticipate":[139],"has":[143],"potential":[145],"minimize":[147],"requirement":[149],"lengthy":[151],"inconclusive":[153],"trials,":[154],"thereby":[155],"streamlining":[156],"development":[159],"process.":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}