{"id":"https://openalex.org/W4296483338","doi":"https://doi.org/10.1093/bib/bbac374","title":"Clustered tree regression to learn protein energy change with mutated amino acid","display_name":"Clustered tree regression to learn protein energy change with mutated amino acid","publication_year":2022,"publication_date":"2022-09-17","ids":{"openalex":"https://openalex.org/W4296483338","doi":"https://doi.org/10.1093/bib/bbac374","pmid":"https://pubmed.ncbi.nlm.nih.gov/36124753"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbac374","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbac374","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103181264","display_name":"Hongwei Tu","orcid":"https://orcid.org/0000-0001-6455-7105"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Tu","raw_affiliation_strings":["Key Laboratory of Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano Electronics, Shanghai Jiao Tong University , Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano Electronics, Shanghai Jiao Tong University , Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091692547","display_name":"Yanqiang Han","orcid":"https://orcid.org/0000-0001-5454-0617"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqiang Han","raw_affiliation_strings":["Key Laboratory of Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano Electronics, Shanghai Jiao Tong University , Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano Electronics, Shanghai Jiao Tong University , Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664786","display_name":"Zhilong Wang","orcid":"https://orcid.org/0000-0002-1910-3654"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhilong Wang","raw_affiliation_strings":["Key Laboratory of Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano Electronics, Shanghai Jiao Tong University , Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano Electronics, Shanghai Jiao Tong University , Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100657123","display_name":"Jinjin Li","orcid":"https://orcid.org/0000-0003-4661-4051"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinjin Li","raw_affiliation_strings":["Key Laboratory of Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano Electronics, Shanghai Jiao Tong University , Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Thin Film and Microfabrication of Ministry of Education, Department of Micro/Nano Electronics, Shanghai Jiao Tong University , Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100657123"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":0.2599,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52425408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"23","issue":"6","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":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","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":0.9991000294685364,"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":0.9980000257492065,"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":0.6725075244903564},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5826318264007568},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5551766157150269},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5522119402885437},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.5188339948654175},{"id":"https://openalex.org/keywords/protein-sequencing","display_name":"Protein sequencing","score":0.4834628701210022},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4512556791305542},{"id":"https://openalex.org/keywords/protein-folding","display_name":"Protein folding","score":0.4464593529701233},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.44406819343566895},{"id":"https://openalex.org/keywords/folding","display_name":"Folding (DSP implementation)","score":0.44054728746414185},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.440502405166626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43832939863204956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43598899245262146},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.4245091378688812},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4050331711769104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37234920263290405},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3491497039794922},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.34718558192253113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.295992910861969},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27568984031677246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2458229660987854},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.188799649477005},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18604984879493713},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.14570042490959167},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.11790439486503601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725075244903564},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5826318264007568},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5551766157150269},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5522119402885437},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.5188339948654175},{"id":"https://openalex.org/C10010492","wikidata":"https://www.wikidata.org/wiki/Q3142557","display_name":"Protein sequencing","level":4,"score":0.4834628701210022},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4512556791305542},{"id":"https://openalex.org/C204328495","wikidata":"https://www.wikidata.org/wiki/Q847556","display_name":"Protein folding","level":2,"score":0.4464593529701233},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.44406819343566895},{"id":"https://openalex.org/C2776545253","wikidata":"https://www.wikidata.org/wiki/Q5464292","display_name":"Folding (DSP implementation)","level":2,"score":0.44054728746414185},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.440502405166626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43832939863204956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43598899245262146},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.4245091378688812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4050331711769104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37234920263290405},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3491497039794922},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.34718558192253113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.295992910861969},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27568984031677246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2458229660987854},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.188799649477005},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18604984879493713},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.14570042490959167},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.11790439486503601},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000596","descriptor_name":"Amino Acids","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000596","descriptor_name":"Amino Acids","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D000596","descriptor_name":"Amino Acids","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D017510","descriptor_name":"Protein Folding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017510","descriptor_name":"Protein Folding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017510","descriptor_name":"Protein Folding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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:10.1093/bib/bbac374","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbac374","pdf_url":null,"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:36124753","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36124753","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":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G6604631876","display_name":null,"funder_award_id":"21901157","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W236727897","https://openalex.org/W637241130","https://openalex.org/W1524608481","https://openalex.org/W1678356000","https://openalex.org/W1969051510","https://openalex.org/W2031553026","https://openalex.org/W2052137302","https://openalex.org/W2064488723","https://openalex.org/W2070335845","https://openalex.org/W2092387745","https://openalex.org/W2099672241","https://openalex.org/W2100752660","https://openalex.org/W2103459989","https://openalex.org/W2103868202","https://openalex.org/W2108028755","https://openalex.org/W2109984174","https://openalex.org/W2136513422","https://openalex.org/W2142678478","https://openalex.org/W2143877481","https://openalex.org/W2157142295","https://openalex.org/W2165186407","https://openalex.org/W2172034373","https://openalex.org/W2187089797","https://openalex.org/W2262896633","https://openalex.org/W2309551856","https://openalex.org/W2329374371","https://openalex.org/W2428593791","https://openalex.org/W2600041718","https://openalex.org/W2615841538","https://openalex.org/W2739999456","https://openalex.org/W2768617092","https://openalex.org/W3012929814","https://openalex.org/W3069883202","https://openalex.org/W3104081477","https://openalex.org/W3152482832","https://openalex.org/W3162659354","https://openalex.org/W3186118520","https://openalex.org/W3186298983","https://openalex.org/W3193575414","https://openalex.org/W3212747460","https://openalex.org/W4200057279","https://openalex.org/W4206135757","https://openalex.org/W4206743557","https://openalex.org/W6674788010"],"related_works":["https://openalex.org/W2898752095","https://openalex.org/W2079000291","https://openalex.org/W3035714756","https://openalex.org/W1481357612","https://openalex.org/W4387310732","https://openalex.org/W2034313881","https://openalex.org/W2049477284","https://openalex.org/W2047083294","https://openalex.org/W4367302423","https://openalex.org/W1789072987"],"abstract_inverted_index":{"Accurate":[0],"and":[1,13,24,35,47,61,86,92,96,111],"effective":[2],"prediction":[3,37],"of":[4,14,28,72,109,116],"mutation-induced":[5,51],"protein":[6,52,98,128,136],"energy":[7,55],"change":[8,56],"remains":[9],"a":[10,42],"great":[11,15],"challenge":[12],"interest":[16],"in":[17,135],"computational":[18],"biology.":[19],"However,":[20],"high":[21],"resource":[22],"consumption":[23],"insufficient":[25],"structural":[26,140],"information":[27],"proteins":[29],"severely":[30],"limit":[31],"the":[32,50,75,125],"experimental":[33],"techniques":[34],"structure-based":[36],"methods.":[38],"Here,":[39],"we":[40],"design":[41],"structure-independent":[43],"protocol":[44,69],"to":[45],"accurately":[46],"effectively":[48,73],"predict":[49],"folding":[53],"free":[54],"with":[57,100,103,138],"only":[58,123],"sequence,":[59],"physicochemical":[60],"evolutionary":[62],"features.":[63],"The":[64,118],"proposed":[65,119],"clustered":[66],"tree":[67,88],"regression":[68,89],"is":[70],"capable":[71],"exploiting":[74],"inherent":[76],"data":[77],"patterns":[78],"by":[79,84],"integrating":[80],"unsupervised":[81],"feature":[82],"clustering":[83],"K-means":[85],"supervised":[87],"using":[90],"XGBoost,":[91],"thus":[93],"enabling":[94],"fast":[95],"accurate":[97],"predictions":[99,137],"different":[101],"mutations,":[102],"an":[104,112],"average":[105,113],"Pearson":[106],"correlation":[107],"coefficient":[108],"0.83":[110],"root-mean-square":[114],"error":[115],"0.94kcal/mol.":[117],"sequence-based":[120],"method":[121],"not":[122],"eliminates":[124],"dependence":[126],"on":[127],"structures,":[129],"but":[130],"also":[131],"has":[132],"potential":[133],"applications":[134],"rare":[139],"information.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
