{"id":"https://openalex.org/W4376635982","doi":"https://doi.org/10.1093/bib/bbad192","title":"emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model","display_name":"emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model","publication_year":2023,"publication_date":"2023-05-16","ids":{"openalex":"https://openalex.org/W4376635982","doi":"https://doi.org/10.1093/bib/bbad192","pmid":"https://pubmed.ncbi.nlm.nih.gov/37193676"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbad192","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad192","pdf_url":"https://academic.oup.com/bib/advance-article-pdf/doi/10.1093/bib/bbad192/50345221/bbad192.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/bib/advance-article-pdf/doi/10.1093/bib/bbad192/50345221/bbad192.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034361693","display_name":"Shuang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Yang","raw_affiliation_strings":["Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China"],"affiliations":[{"raw_affiliation_string":"Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008052826","display_name":"Weikang Gong","orcid":"https://orcid.org/0000-0001-8797-784X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikang Gong","raw_affiliation_strings":["Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China"],"affiliations":[{"raw_affiliation_string":"Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053412015","display_name":"Tong Zhou","orcid":"https://orcid.org/0000-0003-4911-073X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhou","raw_affiliation_strings":["Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China"],"affiliations":[{"raw_affiliation_string":"Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088465554","display_name":"Xiaohan Sun","orcid":"https://orcid.org/0000-0003-4645-3788"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Sun","raw_affiliation_strings":["Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China"],"affiliations":[{"raw_affiliation_string":"Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755955","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0003-3068-1583"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China"],"affiliations":[{"raw_affiliation_string":"Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049415080","display_name":"Wenxue Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxue Zhou","raw_affiliation_strings":["Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China"],"affiliations":[{"raw_affiliation_string":"Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100781352","display_name":"Chunhua Li","orcid":"https://orcid.org/0000-0002-0895-3506"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunhua Li","raw_affiliation_strings":["Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China"],"affiliations":[{"raw_affiliation_string":"Faculty of Environmental and Life Sciences, Beijing University of Technology , Beijing 100124 , China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100781352"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":1.8063,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84877303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9998000264167786,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9997000098228455,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9983000159263611,"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":0.5859972834587097},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5744630694389343},{"id":"https://openalex.org/keywords/dna","display_name":"DNA","score":0.46444040536880493},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44113147258758545},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.42668572068214417},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4247274696826935},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4181225597858429},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4101994037628174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4030988812446594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.402971088886261},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.2349146604537964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1694965958595276},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.144924134016037},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10706153512001038},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.10499069094657898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5859972834587097},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5744630694389343},{"id":"https://openalex.org/C552990157","wikidata":"https://www.wikidata.org/wiki/Q7430","display_name":"DNA","level":2,"score":0.46444040536880493},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44113147258758545},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.42668572068214417},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4247274696826935},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4181225597858429},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4101994037628174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4030988812446594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.402971088886261},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.2349146604537964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1694965958595276},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.144924134016037},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10706153512001038},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.10499069094657898}],"mesh":[{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011485","descriptor_name":"Protein Binding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbad192","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad192","pdf_url":"https://academic.oup.com/bib/advance-article-pdf/doi/10.1093/bib/bbad192/50345221/bbad192.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:37193676","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37193676","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":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1093/bib/bbad192","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbad192","pdf_url":"https://academic.oup.com/bib/advance-article-pdf/doi/10.1093/bib/bbad192/50345221/bbad192.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4777356863","display_name":null,"funder_award_id":"32271294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5657665892","display_name":null,"funder_award_id":"31971180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376635982.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W611848211","https://openalex.org/W1625910593","https://openalex.org/W1948562438","https://openalex.org/W1950993160","https://openalex.org/W1967580419","https://openalex.org/W1975580333","https://openalex.org/W1976260744","https://openalex.org/W1991340088","https://openalex.org/W1993046136","https://openalex.org/W2007272508","https://openalex.org/W2008708467","https://openalex.org/W2017337590","https://openalex.org/W2019691413","https://openalex.org/W2028702957","https://openalex.org/W2029667189","https://openalex.org/W2041541639","https://openalex.org/W2051082589","https://openalex.org/W2070493638","https://openalex.org/W2098312592","https://openalex.org/W2108257090","https://openalex.org/W2111387452","https://openalex.org/W2112391609","https://openalex.org/W2115161731","https://openalex.org/W2122401542","https://openalex.org/W2125677968","https://openalex.org/W2132625528","https://openalex.org/W2135815512","https://openalex.org/W2154447604","https://openalex.org/W2155380261","https://openalex.org/W2156125289","https://openalex.org/W2277931613","https://openalex.org/W2295598076","https://openalex.org/W2416974941","https://openalex.org/W2604303204","https://openalex.org/W2643648096","https://openalex.org/W2774582173","https://openalex.org/W2911964244","https://openalex.org/W2969023103","https://openalex.org/W2970862234","https://openalex.org/W3005404186","https://openalex.org/W3023091054","https://openalex.org/W3081249922","https://openalex.org/W3204054344","https://openalex.org/W4212883601","https://openalex.org/W6818724931"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W2322875716","https://openalex.org/W1807784185","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2101914902"],"abstract_inverted_index":{"Protein-deoxyribonucleic":[0],"acid":[1],"(DNA)":[2],"interactions":[3],"are":[4,64],"important":[5,137],"in":[6,27,121],"a":[7,189],"variety":[8],"of":[9,20,81,147,171,178],"biological":[10],"processes.":[11],"Accurately":[12],"predicting":[13],"protein-DNA":[14,193],"binding":[15,98,128,141,194],"affinity":[16,142,195],"has":[17,188],"been":[18],"one":[19,60],"the":[21,31,71,79,91,107,122,136,155,163,167,174],"most":[22],"attractive":[23],"and":[24,78,94,100,173,198],"challenging":[25],"issues":[26],"computational":[28],"biology.":[29],"However,":[30],"existing":[32],"approaches":[33],"still":[34],"have":[35],"much":[36],"room":[37],"for":[38,48,135,140,192],"improvement.":[39],"In":[40],"this":[41],"work,":[42],"we":[43],"propose":[44],"an":[45],"ensemble":[46],"model":[47],"Protein-DNA":[49],"Binding":[50],"Affinity":[51],"prediction":[52],"(emPDBA),":[53],"which":[54],"combines":[55],"six":[56],"base":[57],"models":[58],"with":[59,90,150,166],"meta-model.":[61],"The":[62,130,144,181,200],"complexes":[63],"classified":[65],"into":[66],"four":[67],"types":[68],"based":[69],"on":[70,154],"DNA":[72],"structure":[73],"(double-stranded":[74],"or":[75],"other":[76,151],"forms)":[77],"percentage":[80],"interface":[82],"residues.":[83],"For":[84],"each":[85],"type,":[86],"emPDBA":[87,161],"is":[88,113,133,203],"trained":[89],"sequence-based,":[92],"structure-based":[93],"energy":[95],"features":[96],"from":[97],"partners":[99],"complex":[101,131],"structures.":[102],"Through":[103],"feature":[104,138],"selection":[105,110],"by":[106],"sequential":[108],"forward":[109],"method,":[111],"it":[112],"found":[114],"that":[115,160,185],"there":[116],"do":[117],"exist":[118],"considerable":[119],"differences":[120],"key":[123],"factors":[124],"contributing":[125],"to":[126],"intermolecular":[127],"affinity.":[129],"classification":[132],"beneficial":[134],"extraction":[139],"prediction.":[143,196],"performance":[145,191],"comparison":[146],"our":[148,186],"method":[149,187],"peer":[152],"ones":[153],"independent":[156],"testing":[157],"dataset":[158],"shows":[159],"outperforms":[162],"state-of-the-art":[164],"methods":[165],"Pearson":[168],"correlation":[169],"coefficient":[170],"0.53":[172],"mean":[175],"absolute":[176],"error":[177],"1.11":[179],"kcal/mol.":[180],"comprehensive":[182],"results":[183],"demonstrate":[184],"good":[190],"Availability":[197],"implementation:":[199],"source":[201],"code":[202],"available":[204],"at":[205],"https://github.com/ChunhuaLiLab/emPDBA/.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
