{"id":"https://openalex.org/W2950536891","doi":"https://doi.org/10.17615/j68j-r645","title":"Toxicity prediction using multi-disciplinary data integration and novel computational approaches","display_name":"Toxicity prediction using multi-disciplinary data integration and novel computational approaches","publication_year":2019,"publication_date":"2019-08-10","ids":{"openalex":"https://openalex.org/W2950536891","doi":"https://doi.org/10.17615/j68j-r645","mag":"2950536891"},"language":"en","primary_location":{"id":"pmh:oai:cdr.lib.unc.edu:uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","pdf_url":"https://cdr.lib.unc.edu/record/uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cdr.lib.unc.edu/record/uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080793911","display_name":"Yen Low","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Low, Yen Sia","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080793911"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08758899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T10375","display_name":"Pharmacogenetics and Drug Metabolism","score":0.9789999723434448,"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"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.978600025177002,"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":0.5026721954345703},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.4251045286655426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3741797208786011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3326405882835388},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32177919149398804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30637362599372864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5026721954345703},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4251045286655426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741797208786011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3326405882835388},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32177919149398804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30637362599372864}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:cdr.lib.unc.edu:uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","pdf_url":"https://cdr.lib.unc.edu/record/uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"mag:2950536891","is_oa":false,"landing_page_url":"https://cdr.lib.unc.edu/concern/dissertations/bz60cw55r","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null},{"id":"doi:10.17615/j68j-r645","is_oa":true,"landing_page_url":"https://doi.org/10.17615/j68j-r645","pdf_url":null,"source":{"id":"https://openalex.org/S7407051488","display_name":"UNC Libraries","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"thesis"}],"best_oa_location":{"id":"pmh:oai:cdr.lib.unc.edu:uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","is_oa":true,"landing_page_url":"https://cdr.lib.unc.edu/record/uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","pdf_url":"https://cdr.lib.unc.edu/record/uuid:37864ace-5cda-4f4e-996e-b0a4bb2cceab","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2950536891.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1495913478","https://openalex.org/W1969401290","https://openalex.org/W2005205901","https://openalex.org/W2011726136","https://openalex.org/W2015487160","https://openalex.org/W2047390009","https://openalex.org/W2047708582","https://openalex.org/W2049391326","https://openalex.org/W2067943075","https://openalex.org/W2068596603","https://openalex.org/W2095253522","https://openalex.org/W2147334256","https://openalex.org/W2153060852","https://openalex.org/W2316836294"],"related_works":["https://openalex.org/W2492632155","https://openalex.org/W3044810794","https://openalex.org/W3101388790","https://openalex.org/W3094294995","https://openalex.org/W2487516684","https://openalex.org/W2736496403","https://openalex.org/W3156991543","https://openalex.org/W3134408755","https://openalex.org/W783868446","https://openalex.org/W3026604081","https://openalex.org/W2050458321","https://openalex.org/W2920351531","https://openalex.org/W2284176509","https://openalex.org/W1631154015","https://openalex.org/W2947906353","https://openalex.org/W2583595613","https://openalex.org/W2596304523","https://openalex.org/W1524850258","https://openalex.org/W3131630894","https://openalex.org/W3097158334"],"abstract_inverted_index":{"Current":[0],"predictive":[1,144,280],"tools":[2],"used":[3,100],"for":[4,42,170,220,261,293,313],"human":[5],"health":[6,37,207],"assessment":[7],"of":[8,55,89,194,204,265,298,304,320],"potential":[9,213],"chemical":[10,16,31,44,94,116,166],"hazards":[11],"rely":[12],"primarily":[13],"on":[14,159],"either":[15],"structural":[17],"information":[18],"(i.e.,":[19,24],"cheminformatics)":[20],"or":[21,108],"bioassay":[22],"data":[23,27,66,81,98,162,324],"bioinformatics).":[25],"Emerging":[26],"sources":[28,82],"such":[29],"as":[30,46,244,246],"libraries,":[32],"high":[33,290],"throughput":[34],"assays":[35],"and":[36,50,87,96,117,145,167,172,216,251,267,281],"databases":[38],"offer":[39],"new":[40,65],"possibilities":[41],"evaluating":[43],"toxicity":[45],"an":[47,180,199],"integrated":[48],"system":[49],"overcome":[51],"the":[52,64,71,85,115,129,155,173,308,321],"limited":[53],"predictivity":[54],"current":[56],"fragmented":[57],"efforts;":[58],"yet,":[59],"few":[60],"studies":[61],"have":[62,256],"combined":[63],"streams.":[67],"This":[68,127],"dissertation":[69],"tested":[70],"hypothesis":[72],"that":[73,132,141,183,227,274,316],"integrative":[74,136,181,275,314],"computational":[75],"toxicology":[76],"approaches":[77,276],"drawing":[78],"upon":[79],"diverse":[80],"would":[83],"improve":[84],"prediction":[86,122,186],"interpretation":[88,111,171],"chemically":[90],"induced":[91],"diseases.":[92],"First,":[93],"structures":[95,248],"toxicogenomics":[97,109],"were":[99,230],"to":[101,143,149,241],"predict":[102,242],"hepatotoxicity.":[103],"Compared":[104],"with":[105,187,233],"conventional":[106],"cheminformatics":[107,185],"models,":[110],"was":[112,152],"enriched":[113],"by":[114],"biological":[118,168],"insights":[119],"even":[120],"though":[121],"accuracy":[123],"did":[124],"not":[125],"improve.":[126],"motivated":[128],"second":[130],"project":[131],"developed":[133,179],"a":[134,191,258],"novel":[135],"method,":[137],"chemical-biological":[138,161],"read-across":[139],"(CBRA),":[140],"led":[142],"interpretable":[146,282],"models":[147,158,210,285],"amenable":[148],"visualization.":[150],"CBRA":[151],"consistently":[153],"among":[154],"most":[156],"accurate":[157],"four":[160],"sets.":[163],"It":[164],"highlighted":[165],"features":[169],"visualizations":[174],"aided":[175],"transparency.":[176],"Third,":[177],"we":[178,255,311],"workflow":[182],"interfaced":[184],"pharmacoepidemiology":[188,222],"validation":[189],"using":[190],"case":[192],"study":[193,264],"Stevens":[195],"Johnson":[196],"Syndrome":[197],"(SJS),":[198],"adverse":[200],"drug":[201,247],"reaction":[202],"(ADR)":[203],"major":[205],"public":[206],"concern.":[208],"Cheminformatics":[209],"first":[211],"predicted":[212,228],"SJS":[214,235,243,266],"inducers":[215],"non-inducers,":[217],"prioritizing":[218],"them":[219],"subsequent":[221],"evaluation,":[223],"which":[224],"then":[225,287],"confirmed":[226],"non-inducers":[229],"statistically":[231],"associated":[232],"fewer":[234],"occurrences.":[236],"By":[237],"combining":[238],"cheminformatics'":[239],"ability":[240],"soon":[245],"are":[249],"known,":[250],"pharmacoepidemiology's":[252],"statistical":[253],"rigor,":[254],"provided":[257],"universal":[259],"scheme":[260],"more":[262,279],"effective":[263],"other":[268],"ADRs.":[269],"Overall,":[270],"this":[271,305],"work":[272],"demonstrated":[273],"could":[277],"deliver":[278],"models.":[283],"These":[284],"can":[286],"reliably":[288],"prioritize":[289],"risk":[291],"chemicals":[292],"further":[294],"testing,":[295],"allowing":[296],"optimization":[297],"testing":[299],"resources.":[300],"A":[301],"broader":[302],"implication":[303],"research":[306],"is":[307],"growing":[309],"role":[310],"envision":[312],"methods":[315],"will":[317],"take":[318],"advantage":[319],"various":[322],"emerging":[323],"sources.":[325]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}