{"id":"https://openalex.org/W3130649839","doi":"https://doi.org/10.1007/s10822-021-00376-8","title":"Evaluation of multi-target deep neural network models for compound potency prediction under increasingly challenging test conditions","display_name":"Evaluation of multi-target deep neural network models for compound potency prediction under increasingly challenging test conditions","publication_year":2021,"publication_date":"2021-02-17","ids":{"openalex":"https://openalex.org/W3130649839","doi":"https://doi.org/10.1007/s10822-021-00376-8","mag":"3130649839","pmid":"https://pubmed.ncbi.nlm.nih.gov/33598870"},"language":"en","primary_location":{"id":"doi:10.1007/s10822-021-00376-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10822-021-00376-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10822-021-00376-8.pdf","source":{"id":"https://openalex.org/S64621741","display_name":"Journal of Computer-Aided Molecular Design","issn_l":"0920-654X","issn":["0920-654X","1573-4951"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer-Aided Molecular Design","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10822-021-00376-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038390721","display_name":"Raquel Rodr\u00edguez-P\u00e9rez","orcid":"https://orcid.org/0000-0002-2992-3402"},"institutions":[{"id":"https://openalex.org/I1283582996","display_name":"Novartis (Switzerland)","ror":"https://ror.org/02f9zrr09","country_code":"CH","type":"company","lineage":["https://openalex.org/I1283582996"]},{"id":"https://openalex.org/I4400600974","display_name":"Novartis Institutes for BioMedical Research","ror":"https://ror.org/053gv2m95","country_code":null,"type":"funder","lineage":["https://openalex.org/I1283582996","https://openalex.org/I4400600974"]},{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["CH","DE"],"is_corresponding":true,"raw_author_name":"Raquel Rodr\u00edguez-P\u00e9rez","raw_affiliation_strings":["Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universit\u00e4t, Friedrich-Hirzebruch-Allee 6, 53115, Bonn, Germany","Novartis Institutes for Biomedical Research, Novartis Campus, 4002, Basel, Switzerland"],"affiliations":[{"raw_affiliation_string":"Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universit\u00e4t, Friedrich-Hirzebruch-Allee 6, 53115, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Novartis Institutes for Biomedical Research, Novartis Campus, 4002, Basel, Switzerland","institution_ids":["https://openalex.org/I1283582996","https://openalex.org/I4400600974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039926688","display_name":"J\u00fcrgen Bajorath","orcid":"https://orcid.org/0000-0002-0557-5714"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen Bajorath","raw_affiliation_strings":["Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universit\u00e4t, Friedrich-Hirzebruch-Allee 6, 53115, Bonn, Germany. bajorath@bit.uni-bonn.de","Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universit\u00e4t, Friedrich-Hirzebruch-Allee 6, 53115, Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universit\u00e4t, Friedrich-Hirzebruch-Allee 6, 53115, Bonn, Germany. bajorath@bit.uni-bonn.de","institution_ids":[]},{"raw_affiliation_string":"Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universit\u00e4t, Friedrich-Hirzebruch-Allee 6, 53115, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038390721"],"corresponding_institution_ids":["https://openalex.org/I1283582996","https://openalex.org/I135140700","https://openalex.org/I4400600974"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":1.6591,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85683798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"3","first_page":"285","last_page":"295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"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":1.0,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13180","display_name":"Chemistry and Chemical Engineering","score":0.9466000199317932,"subfield":{"id":"https://openalex.org/subfields/2304","display_name":"Environmental Chemistry"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantitative-structure\u2013activity-relationship","display_name":"Quantitative structure\u2013activity relationship","score":0.7341271638870239},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6566924452781677},{"id":"https://openalex.org/keywords/potency","display_name":"Potency","score":0.6555158495903015},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6050100922584534},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6015725135803223},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5957497954368591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5863199830055237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5618943572044373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5492909550666809},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5393517017364502},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5300281643867493},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49617084860801697},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47462594509124756},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42177626490592957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22323298454284668},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16601943969726562},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09358635544776917}],"concepts":[{"id":"https://openalex.org/C164126121","wikidata":"https://www.wikidata.org/wiki/Q766383","display_name":"Quantitative structure\u2013activity relationship","level":2,"score":0.7341271638870239},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6566924452781677},{"id":"https://openalex.org/C57992300","wikidata":"https://www.wikidata.org/wiki/Q2066956","display_name":"Potency","level":3,"score":0.6555158495903015},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6050100922584534},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6015725135803223},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5957497954368591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5863199830055237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5618943572044373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5492909550666809},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5393517017364502},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5300281643867493},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49617084860801697},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47462594509124756},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42177626490592957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22323298454284668},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16601943969726562},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09358635544776917},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202751555","wikidata":"https://www.wikidata.org/wiki/Q221681","display_name":"In vitro","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004353","descriptor_name":"Drug Evaluation, Preclinical","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004353","descriptor_name":"Drug Evaluation, Preclinical","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004353","descriptor_name":"Drug Evaluation, Preclinical","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021281","descriptor_name":"Quantitative Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021281","descriptor_name":"Quantitative Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021281","descriptor_name":"Quantitative Structure-Activity Relationship","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1007/s10822-021-00376-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10822-021-00376-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10822-021-00376-8.pdf","source":{"id":"https://openalex.org/S64621741","display_name":"Journal of Computer-Aided Molecular Design","issn_l":"0920-654X","issn":["0920-654X","1573-4951"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer-Aided Molecular Design","raw_type":"journal-article"},{"id":"pmid:33598870","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33598870","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of computer-aided molecular design","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7982389","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7982389","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Comput Aided Mol Des","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10822-021-00376-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10822-021-00376-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10822-021-00376-8.pdf","source":{"id":"https://openalex.org/S64621741","display_name":"Journal of Computer-Aided Molecular Design","issn_l":"0920-654X","issn":["0920-654X","1573-4951"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer-Aided Molecular Design","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3130649839.pdf","grobid_xml":"https://content.openalex.org/works/W3130649839.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W1988037271","https://openalex.org/W1988195734","https://openalex.org/W1996327711","https://openalex.org/W1999798000","https://openalex.org/W2005518172","https://openalex.org/W2033757486","https://openalex.org/W2096541451","https://openalex.org/W2101234009","https://openalex.org/W2156909104","https://openalex.org/W2436108096","https://openalex.org/W2497919018","https://openalex.org/W2557283755","https://openalex.org/W2731161895","https://openalex.org/W2740946158","https://openalex.org/W2751756351","https://openalex.org/W2761058956","https://openalex.org/W2790808809","https://openalex.org/W2801991413","https://openalex.org/W2802419764","https://openalex.org/W2803318906","https://openalex.org/W2806547269","https://openalex.org/W2892653600","https://openalex.org/W2896556344","https://openalex.org/W2911964244","https://openalex.org/W2914746235","https://openalex.org/W2915792373","https://openalex.org/W2953384591","https://openalex.org/W2964677890","https://openalex.org/W2993913064","https://openalex.org/W4230674625","https://openalex.org/W4239943352"],"related_works":["https://openalex.org/W2552368679","https://openalex.org/W2145045309","https://openalex.org/W1983510392","https://openalex.org/W2055461258","https://openalex.org/W3207991896","https://openalex.org/W2895516988","https://openalex.org/W2091858309","https://openalex.org/W2033669961","https://openalex.org/W2080075000","https://openalex.org/W2083497194"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"enables":[3],"modeling":[4],"of":[5,36,88,122,162,177,198,210],"quantitative":[6],"structure-activity":[7],"relationships":[8],"(QSAR)":[9],"and":[10,47,58,102,131,153],"compound":[11,24,70,170,192],"potency":[12,25,71,199],"predictions.":[13],"Recently,":[14],"multi-target":[15,51,59],"QSAR":[16,40],"models":[17,41,61,107,181],"have":[18],"been":[19,84],"gaining":[20],"increasing":[21],"attention.":[22],"Simultaneous":[23],"predictions":[26,73],"for":[27,74,150,166,201],"multiple":[28,202],"targets":[29,203],"can":[30],"be":[31],"carried":[32],"out":[33],"using":[34,50],"ensembles":[35],"independently":[37],"derived":[38],"target-based":[39],"or":[42,137,193],"in":[43,69,134],"a":[44,66,85,135,190],"more":[45],"integrated":[46],"advanced":[48],"manner":[49,140],"deep":[52],"neural":[53],"networks":[54],"(MT-DNNs).":[55],"Herein,":[56],"single-target":[57,95,187],"ML":[60,118,163,211],"were":[62,108,113,127,155],"systematically":[63],"compared":[64,185],"on":[65],"large":[67],"scale":[68],"value":[72],"270":[75],"human":[76],"targets.":[77],"By":[78],"design,":[79],"this":[80],"large-magnitude":[81],"evaluation":[82,154],"has":[83],"special":[86],"feature":[87],"our":[89],"study.":[90],"To":[91],"these":[92,117],"ends,":[93],"MT-DNN,":[94],"DNN":[96],"(ST-DNN),":[97],"support":[98],"vector":[99],"regression":[100,105],"(SVR),":[101],"random":[103],"forest":[104],"(RFR)":[106],"implemented.":[109],"Different":[110],"test":[111,132,191],"systems":[112],"defined":[114],"to":[115,157,186],"benchmark":[116],"methods":[119],"under":[120],"conditions":[121],"varying":[123],"complexity.":[124],"Source":[125],"compounds":[126],"divided":[128],"into":[129,144],"training":[130,152],"sets":[133],"compound-":[136],"analog":[138],"series-based":[139],"taking":[141],"target":[142],"information":[143],"account.":[145],"Data":[146],"partitioning":[147],"approaches":[148],"used":[149],"model":[151,205],"shown":[156],"influence":[158,209],"the":[159,167,175,196,208],"relative":[160],"performance":[161,176,184],"methods,":[164],"especially":[165],"most":[168],"challenging":[169],"data":[171],"sets.":[172],"For":[173,189],"example,":[174],"MT-DNNs":[178],"with":[179],"per-target":[180],"yielded":[182],"superior":[183],"models.":[188],"its":[194],"analogs,":[195],"availability":[197],"measurements":[200],"affected":[204],"performance,":[206],"revealing":[207],"synergies.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
