{"id":"https://openalex.org/W4308055023","doi":"https://doi.org/10.1021/acs.jcim.2c00926","title":"DyScore: A Boosting Scoring Method with Dynamic Properties for Identifying True Binders and Nonbinders in Structure-Based Drug Discovery","display_name":"DyScore: A Boosting Scoring Method with Dynamic Properties for Identifying True Binders and Nonbinders in Structure-Based Drug Discovery","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4308055023","doi":"https://doi.org/10.1021/acs.jcim.2c00926","pmid":"https://pubmed.ncbi.nlm.nih.gov/36327102"},"language":"en","primary_location":{"id":"doi:10.1021/acs.jcim.2c00926","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.2c00926","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":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9983328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100382119","display_name":"Yanjun Li","orcid":"https://orcid.org/0000-0002-6277-4189"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjun Li","raw_affiliation_strings":["Baidu Research USA, Sunnyvale, California94089, United States","NSF Center for Big Learning, University of Florida, Gainesville, Florida32611, United States"],"affiliations":[{"raw_affiliation_string":"Baidu Research USA, Sunnyvale, California94089, United States","institution_ids":[]},{"raw_affiliation_string":"NSF Center for Big Learning, University of Florida, Gainesville, Florida32611, United States","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781093","display_name":"Daohong Zhou","orcid":"https://orcid.org/0000-0002-2400-6461"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daohong Zhou","raw_affiliation_strings":["Department of Pharmacodynamics, Univerity of Florida, Gainesville, Florida32611, United States"],"affiliations":[{"raw_affiliation_string":"Department of Pharmacodynamics, Univerity of Florida, Gainesville, Florida32611, United States","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058794772","display_name":"Guangrong Zheng","orcid":"https://orcid.org/0000-0002-8106-6663"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangrong Zheng","raw_affiliation_strings":["Department of Medicinal Chemistry, University of Florida, Gainesville, Florida32611, United States"],"affiliations":[{"raw_affiliation_string":"Department of Medicinal Chemistry, University of Florida, Gainesville, Florida32611, United States","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353846","display_name":"Xiaolin Li","orcid":"https://orcid.org/0000-0002-3368-159X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolin Li","raw_affiliation_strings":["Cognization Lab, Palo Alto, California94306, United States"],"affiliations":[{"raw_affiliation_string":"Cognization Lab, Palo Alto, California94306, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001469325","display_name":"Dapeng Wu","orcid":"https://orcid.org/0000-0003-1755-0183"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dapeng Wu","raw_affiliation_strings":["NSF Center for Big Learning, University of Florida, Gainesville, Florida32611, United States"],"affiliations":[{"raw_affiliation_string":"NSF Center for Big Learning, University of Florida, Gainesville, Florida32611, United States","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046581115","display_name":"Yaxia Yuan","orcid":"https://orcid.org/0000-0001-7094-4419"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yaxia Yuan","raw_affiliation_strings":["Department of Pharmacodynamics, Univerity of Florida, Gainesville, Florida32611, United States"],"affiliations":[{"raw_affiliation_string":"Department of Pharmacodynamics, Univerity of Florida, Gainesville, Florida32611, United States","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5001469325","https://openalex.org/A5046581115"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":1.4608,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84290349,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"62","issue":"22","first_page":"5550","last_page":"5567"},"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/T10044","display_name":"Protein Structure and Dynamics","score":0.9954000115394592,"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/T10911","display_name":"Chemical Synthesis and Analysis","score":0.9623000025749207,"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/virtual-screening","display_name":"Virtual screening","score":0.7190406322479248},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.6416940689086914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5975633859634399},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5268346667289734},{"id":"https://openalex.org/keywords/protein-ligand","display_name":"Protein ligand","score":0.5154434442520142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45913225412368774},{"id":"https://openalex.org/keywords/ligand","display_name":"Ligand (biochemistry)","score":0.4254376292228699},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3876407742500305},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3699290454387665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33722424507141113},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.323685884475708},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.21932348608970642},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.2127039134502411},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11954545974731445}],"concepts":[{"id":"https://openalex.org/C103697762","wikidata":"https://www.wikidata.org/wiki/Q4112105","display_name":"Virtual screening","level":3,"score":0.7190406322479248},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.6416940689086914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5975633859634399},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5268346667289734},{"id":"https://openalex.org/C109095088","wikidata":"https://www.wikidata.org/wiki/Q899107","display_name":"Protein ligand","level":2,"score":0.5154434442520142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45913225412368774},{"id":"https://openalex.org/C116569031","wikidata":"https://www.wikidata.org/wiki/Q899107","display_name":"Ligand (biochemistry)","level":3,"score":0.4254376292228699},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3876407742500305},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3699290454387665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33722424507141113},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.323685884475708},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.21932348608970642},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.2127039134502411},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11954545974731445},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008024","descriptor_name":"Ligands","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":"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":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055808","descriptor_name":"Drug Discovery","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1021/acs.jcim.2c00926","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.jcim.2c00926","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:36327102","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36327102","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},{"id":"pmh:oai:pubmedcentral.nih.gov:9983328","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9983328","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Chem Inf Model","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9983328","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9983328","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Chem Inf Model","raw_type":"Text"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G5615350433","display_name":null,"funder_award_id":"R01 CA242003","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G921510897","display_name":null,"funder_award_id":"R01 AG063801","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"}],"funders":[{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1512801428","https://openalex.org/W1538011504","https://openalex.org/W1608506719","https://openalex.org/W1656114533","https://openalex.org/W1968319881","https://openalex.org/W1972148009","https://openalex.org/W1987012451","https://openalex.org/W1988111902","https://openalex.org/W1993285168","https://openalex.org/W1998568556","https://openalex.org/W2003356525","https://openalex.org/W2010882262","https://openalex.org/W2012084558","https://openalex.org/W2013085020","https://openalex.org/W2018294192","https://openalex.org/W2022998385","https://openalex.org/W2030609780","https://openalex.org/W2040617462","https://openalex.org/W2042110087","https://openalex.org/W2056070858","https://openalex.org/W2072682248","https://openalex.org/W2073746700","https://openalex.org/W2075020622","https://openalex.org/W2078374001","https://openalex.org/W2079331631","https://openalex.org/W2093313511","https://openalex.org/W2095719702","https://openalex.org/W2096541451","https://openalex.org/W2098208486","https://openalex.org/W2128332459","https://openalex.org/W2134967712","https://openalex.org/W2147421370","https://openalex.org/W2158698691","https://openalex.org/W2169678694","https://openalex.org/W2176516200","https://openalex.org/W2295598076","https://openalex.org/W2334483166","https://openalex.org/W2478468367","https://openalex.org/W2554099577","https://openalex.org/W2562202281","https://openalex.org/W2583907533","https://openalex.org/W2608559058","https://openalex.org/W2784213390","https://openalex.org/W2799327292","https://openalex.org/W2893435209","https://openalex.org/W2911964244","https://openalex.org/W2918239264","https://openalex.org/W2969325194","https://openalex.org/W3005043246","https://openalex.org/W3015572666","https://openalex.org/W3104705366","https://openalex.org/W4402843978"],"related_works":["https://openalex.org/W2059230675","https://openalex.org/W2376003823","https://openalex.org/W2594726310","https://openalex.org/W2355193834","https://openalex.org/W2907597838","https://openalex.org/W2108257090","https://openalex.org/W1485106526","https://openalex.org/W1979602801","https://openalex.org/W2152722060","https://openalex.org/W4220695049"],"abstract_inverted_index":{"The":[0,135,249],"accurate":[1],"prediction":[2,63],"of":[3,12,19,35,47,73,111,119,154,252],"protein-ligand":[4,40,49,86,112,155],"binding":[5,50,61,80,87,113],"affinity":[6,62],"is":[7,23,52,123],"critical":[8],"for":[9,106,239],"the":[10,17,44,48,74,79,84,108,116,120,131,139,151,179,225],"success":[11,240],"computer-aided":[13],"drug":[14,247],"discovery.":[15],"However,":[16],"accuracy":[18],"current":[20,132],"scoring":[21,56,133,167],"functions":[22,168],"usually":[24,53],"unsatisfactory":[25],"due":[26],"to":[27,125,130,169,184,224,259],"their":[28],"rough":[29],"approximation":[30],"or":[31,190],"sometimes":[32],"even":[33],"omittance":[34],"many":[36],"factors":[37],"involved":[38],"in":[39,55,78,96,200,241],"binding.":[41,156],"For":[42],"instance,":[43],"intrinsic":[45],"dynamics":[46],"state":[51],"disregarded":[54],"function":[57],"because":[58],"these":[59,160],"rapid":[60],"approaches":[64],"are":[65,90,256],"only":[66],"based":[67,114],"on":[68,115,206,233],"a":[69,93,127,143,146,171,236],"representative":[70],"complex":[71,88],"structure":[72,118],"protein":[75,144],"and":[76,145,203,212,244,254],"ligand":[77,147],"state.":[81],"That":[82],"is,":[83],"dynamic":[85,109,152],"ensembles":[89],"simplified":[91],"as":[92,148,150,188],"static":[94,117],"snapshot":[95],"calculation.":[97],"In":[98],"this":[99],"study,":[100],"two":[101,136,161],"novel":[102,162,219],"features":[103,137,163,220],"were":[104],"proposed":[105,218],"characterizing":[107],"properties":[110],"complex,":[121],"which":[122],"expected":[124],"be":[126],"valuable":[128],"complement":[129],"functions.":[134],"demonstrate":[138],"geometry-shape":[140],"matching":[141],"between":[142],"well":[149],"stability":[153],"We":[157,192],"further":[158],"combined":[159],"with":[164,216],"several":[165],"classical":[166],"develop":[170],"binary":[172],"classification":[173],"model":[174],"called":[175],"DyScore":[176,196,229,253],"that":[177,195],"uses":[178],"Extreme":[180],"Gradient":[181],"Boosting":[182],"algorithm":[183],"classify":[185],"compound":[186],"poses":[187],"binders":[189],"non-binders.":[191],"have":[193],"found":[194],"achieves":[197],"state-of-the-art":[198],"performance":[199,232],"distinguishing":[201],"active":[202],"decoy":[204],"ligands":[205],"both":[207,217],"enhanced":[208],"DUD":[209],"data":[210],"set":[211],"external":[213],"test":[214],"sets":[215],"showing":[221],"significant":[222],"contributions":[223],"improved":[226],"performance.":[227],"Especially,":[228],"exhibits":[230],"superior":[231],"early":[234],"recognition,":[235],"crucial":[237],"requirement":[238],"virtual":[242],"screening":[243],"<i>de":[245],"novo</i>":[246],"design.":[248],"standalone":[250],"version":[251],"Dyscore-MF":[255],"freely":[257],"available":[258],"all":[260],"at:":[261],"https://github.com/YanjunLi-CS/dyscore.":[262]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}