{"id":"https://openalex.org/W7125379767","doi":"https://doi.org/10.1021/acs.jcim.5c02637","title":"DeepDBPI: DNA-Binding Protein Identifier Using a Deep Learning Model with Transformed Denoised Features","display_name":"DeepDBPI: DNA-Binding Protein Identifier Using a Deep Learning Model with Transformed Denoised Features","publication_year":2026,"publication_date":"2026-01-22","ids":{"openalex":"https://openalex.org/W7125379767","doi":"https://doi.org/10.1021/acs.jcim.5c02637","pmid":"https://pubmed.ncbi.nlm.nih.gov/41566703"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.5c02637","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.5c02637","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kamran Arshad","orcid":"https://orcid.org/0009-0006-0941-0999"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kamran Arshad","raw_affiliation_strings":["Nanjing University of Science and Technology","School of Computer Science and Engineering"],"raw_orcid":"https://orcid.org/0009-0006-0941-0999","affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123590813","display_name":"Muhammad Arif","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144839","display_name":"Hamad bin Khalifa University","ror":"https://ror.org/03eyq4y97","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210144839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Muhammad Arif","raw_affiliation_strings":["College of Science and Engineering","Hammad Bin Khalefa University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Engineering","institution_ids":[]},{"raw_affiliation_string":"Hammad Bin Khalefa University","institution_ids":["https://openalex.org/I4210144839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123622774","display_name":"Dong-Jun Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong-Jun Yu","raw_affiliation_strings":["Nanjing University of Science and Technology","School of Computer Science and Engineering"],"raw_orcid":"https://orcid.org/0000-0002-6786-8053","affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5123622774"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06073298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"66","issue":"3","first_page":"1920","last_page":"1932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9864000082015991,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9864000082015991,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.0031999999191612005,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.00139999995008111,"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":0.6215000152587891},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5227000117301941},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4851999878883362},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46779999136924744},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42480000853538513},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.398499995470047},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.3952000141143799},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.3781999945640564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408000230789185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6837999820709229},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6215000152587891},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4851999878883362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4812000095844269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46779999136924744},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42480000853538513},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3188000023365021},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.3059000074863434},{"id":"https://openalex.org/C64903051","wikidata":"https://www.wikidata.org/wiki/Q2198549","display_name":"Drug development","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2989108626","wikidata":"https://www.wikidata.org/wiki/Q904407","display_name":"Drug target","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.25360000133514404}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098437","descriptor_name":"Prediction Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D004247","descriptor_name":"DNA","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D004268","descriptor_name":"DNA-Binding Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1021/acs.jcim.5c02637","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.5c02637","pdf_url":null,"source":{"id":"https://openalex.org/S167262187","display_name":"Journal of Chemical Information and Modeling","issn_l":"1549-9596","issn":["1549-9596","1549-960X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Chemical Information and Modeling","raw_type":"journal-article"},{"id":"pmid:41566703","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41566703","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 chemical information and modeling","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1913164630","https://openalex.org/W1940872118","https://openalex.org/W1975292706","https://openalex.org/W1991141438","https://openalex.org/W2009470087","https://openalex.org/W2010688088","https://openalex.org/W2015085699","https://openalex.org/W2021312899","https://openalex.org/W2021465030","https://openalex.org/W2043338013","https://openalex.org/W2053411993","https://openalex.org/W2070980386","https://openalex.org/W2076048958","https://openalex.org/W2097606916","https://openalex.org/W2102945860","https://openalex.org/W2121090558","https://openalex.org/W2122401542","https://openalex.org/W2125527601","https://openalex.org/W2131774270","https://openalex.org/W2133036743","https://openalex.org/W2141259072","https://openalex.org/W2145084154","https://openalex.org/W2154447604","https://openalex.org/W2156875887","https://openalex.org/W2163612361","https://openalex.org/W2173801226","https://openalex.org/W2194775991","https://openalex.org/W2605548712","https://openalex.org/W2612935389","https://openalex.org/W2804549231","https://openalex.org/W2807896518","https://openalex.org/W2885195348","https://openalex.org/W2888408766","https://openalex.org/W2901314256","https://openalex.org/W2949541494","https://openalex.org/W2972178360","https://openalex.org/W2984633739","https://openalex.org/W3012353262","https://openalex.org/W3081987387","https://openalex.org/W3086768476","https://openalex.org/W3112376646","https://openalex.org/W3142241514","https://openalex.org/W3157397027","https://openalex.org/W3164662270","https://openalex.org/W4200031065","https://openalex.org/W4212870326","https://openalex.org/W4224130789","https://openalex.org/W4291109241","https://openalex.org/W4318670004","https://openalex.org/W4387082832","https://openalex.org/W4391607533","https://openalex.org/W4393993406","https://openalex.org/W4395663162","https://openalex.org/W4396937918","https://openalex.org/W4400966320","https://openalex.org/W4401743487","https://openalex.org/W4405444480","https://openalex.org/W4405693958","https://openalex.org/W4407179841","https://openalex.org/W4408417595","https://openalex.org/W4409825581","https://openalex.org/W4410431138","https://openalex.org/W4410503612","https://openalex.org/W4412132067"],"related_works":[],"abstract_inverted_index":{"Motivation:":[0],"DNA-binding":[1],"proteins":[2],"(DBPs)":[3],"play":[4],"a":[5,21,51,81],"significant":[6],"role":[7],"in":[8],"the":[9,44,98,133,140,147,163,170,199,204,207,223],"entire":[10],"biological":[11],"system.":[12],"Many":[13],"DNA-related":[14],"studies":[15],"actively":[16],"investigate":[17],"to":[18,24,31,58,68,138,150],"understand":[19],"whether":[20],"protein":[22,104],"binds":[23],"DNA.":[25],"Conventionally,":[26],"wet-lab":[27],"experiments":[28],"are":[29,38,230],"conducted":[30],"characterize":[32],"DBP":[33,91],"functions.":[34],"However,":[35],"these":[36],"methods":[37],"often":[39],"expensive":[40],"and":[41,100,120,126,156,183,195,216,228],"time-intensive.":[42],"With":[43],"rapid":[45],"advancement":[46],"of":[47,103,206],"bioinformatics,":[48],"there":[49],"is":[50],"growing":[52],"demand":[53],"for":[54,75,89,213],"efficient":[55],"computational":[56,63],"protocols":[57],"predict":[59,69],"DBPs.":[60],"Several":[61],"sequence-based":[62],"tools":[64],"have":[65],"been":[66],"designed":[67],"DBPs;":[70],"however,":[71],"research":[72],"gaps":[73],"persist":[74],"further":[76],"improvement.":[77],"Method:":[78],"We":[79,145,202],"developed":[80,208],"novel":[82,107],"deep":[83],"learning":[84],"(DL)-based":[85],"predictor,":[86],"called":[87],"DeepDBPI,":[88],"enhancing":[90],"prediction.":[92],"The":[93,159],"proposed":[94,186],"DeepDBPI":[95,160],"model":[96,161,187],"leverages":[97],"evolutionary":[99],"graphical-based":[101],"properties":[102],"sequences":[105],"using":[106,169],"descriptors,":[108],"namely":[109],"covariance":[110],"correlation-based":[111],"position-specific":[112],"scoring":[113],"matrix":[114],"(CC-PSSM),":[115],"binary-profile-based":[116],"(BP-PSSM),":[117],"Trigram":[118],"(TRG-PSSM),":[119],"feature":[121,225],"encoding":[122,173],"based":[123],"on":[124,198],"graphical":[125],"statistical":[127],"(FEGS)":[128],"methods.":[129],"Then,":[130],"we":[131],"applied":[132],"wavelet":[134],"denoising":[135],"(WD)":[136],"algorithm":[137],"remove":[139],"noise":[141],"from":[142],"sequence-derived":[143],"features.":[144],"fed":[146],"filtered":[148],"features":[149],"ResNet,":[151],"LSTM,":[152],"BiLSTM,":[153],"RNN,":[154],"BiRNN,":[155],"BiGRU.":[157],"Results:":[158],"achieved":[162,188],"best":[164],"prediction":[165],"performance":[166],"with":[167],"Bi-GRU":[168],"denoised-based":[171],"FEGS":[172],"method":[174],"under":[175],"5-fold":[176],"cross-validation,":[177],"evaluated":[178],"by":[179],"ACC,":[180,190],"SN,":[181,192],"SP,":[182,194],"MCC.":[184],"Our":[185],"92.13%":[189],"93.07%":[191],"91.19%":[193],"0.8427":[196],"MCC":[197],"independent":[200],"test.":[201],"believe":[203],"effectiveness":[205],"bioinformatics":[209],"protocol":[210],"provides":[211],"insights":[212],"drug":[214],"discovery":[215],"other":[217],"proteomic":[218],"problems.":[219],"All":[220],"data,":[221],"including":[222],"dataset,":[224],"extraction":[226],"techniques,":[227],"models,":[229],"available":[231],"at:":[232],"https://doi.org/10.5281/zenodo.17496063":[233]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2026-01-23T00:00:00"}
