{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T18:30:40Z","timestamp":1776709840689,"version":"3.51.2"},"reference-count":63,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Artificial Intelligence Graduate School Program, POSTECH","award":["2019-0-01906"],"award-info":[{"award-number":["2019-0-01906"]}]},{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","award":["2021R1A2B5B01001903"],"award-info":[{"award-number":["2021R1A2B5B01001903"]}],"id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","award":["2020R1A6A1A03047902"],"award-info":[{"award-number":["2020R1A6A1A03047902"]}],"id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,19]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Identifying cancer type-specific driver mutations is crucial for illuminating distinct pathologic mechanisms across various tumors and providing opportunities of patient-specific treatment. However, although many computational methods were developed to predict driver mutations in a type-specific manner, the methods still have room to improve. Here, we devise a novel feature based on sequence co-evolution analysis to identify cancer type-specific driver mutations and construct a machine learning (ML) model with state-of-the-art performance. Specifically, relying on 28\u00a0000 tumor samples across 66 cancer types, our ML framework outperformed current leading methods of detecting cancer driver mutations. Interestingly, the cancer mutations identified by sequence co-evolution feature are frequently observed in interfaces mediating tissue-specific protein\u2013protein interactions that are known to associate with shaping tissue-specific oncogenesis. Moreover, we provide pre-calculated potential oncogenicity on available human proteins with prediction scores of all possible residue alterations through user-friendly website (http:\/\/sbi.postech.ac.kr\/w\/cancerCE). This work will facilitate the identification of cancer type-specific driver mutations in newly sequenced tumor samples.<\/jats:p>","DOI":"10.1093\/bib\/bbac593","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T15:04:08Z","timestamp":1672153448000},"source":"Crossref","is-referenced-by-count":1,"title":["An evolution-based machine learning to identify cancer type-specific driver mutations"],"prefix":"10.1093","volume":"24","author":[{"given":"Donghyo","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Life Sciences"}]},{"given":"Doyeon","family":"Ha","sequence":"additional","affiliation":[{"name":"Department of Life Sciences"}]},{"given":"Kwanghwan","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Life Sciences"}]},{"given":"Heetak","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Life Sciences"}]},{"given":"Inhae","family":"Kim","sequence":"additional","affiliation":[{"name":"ImmunoBiome Inc. , Pohang, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3449-3814","authenticated-orcid":false,"given":"Sanguk","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Life Sciences"},{"name":"Pohang University of Science and Technology Artificial Intelligence Graduate Program, , Pohang 790-784, South Korea"},{"name":"Yonsei University Institute of Convergence Research and Education in Advanced Technology, , Seoul 120-149, South Korea"}]}],"member":"286","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"key":"2023011917135746200_ref1","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1038\/s41568-020-0290-x","article-title":"A compendium of mutational cancer driver genes","volume":"20","author":"Mart\u00ednez-Jim\u00e9nez","year":"2020","journal-title":"Nat Rev Cancer"},{"key":"2023011917135746200_ref2","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1038\/nrc.2017.5","article-title":"Tissue-specific tumorigenesis: context matters","volume":"17","author":"Schneider","year":"2017","journal-title":"Nat Rev Cancer"},{"key":"2023011917135746200_ref3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1126\/sciadv.abb6242","article-title":"Tissue-specific genetic features inform prediction of drug side effects in clinical trials","volume":"6","author":"Duffy","year":"2020","journal-title":"Sci Adv"},{"key":"2023011917135746200_ref4","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.cell.2020.02.001","article-title":"Targeting strategies for tissue-specific drug delivery","volume":"181","author":"Zhao","year":"2020","journal-title":"Cell"},{"key":"2023011917135746200_ref5","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1038\/s41586-020-1969-6","article-title":"Pan-cancer analysis of whole genomes","volume":"578","author":"Campbell","year":"2020","journal-title":"Nature"},{"key":"2023011917135746200_ref6","doi-asserted-by":"crossref","first-page":"21766","DOI":"10.1073\/pnas.0912499106","article-title":"Mutation patterns in cancer genomes","volume":"106","author":"Rubin","year":"2009","journal-title":"Proc Natl Acad Sci"},{"key":"2023011917135746200_ref7","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1016\/j.tips.2019.10.003","article-title":"Why are some driver mutations rare?","volume":"40","author":"Nussinov","year":"2019","journal-title":"Trends Pharmacol Sci"},{"key":"2023011917135746200_ref8","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1146\/annurev-pathol-012414-040312","article-title":"Driver and passenger mutations in cancer","volume":"10","author":"Pon","year":"2015","journal-title":"Annu Rev Pathol Mech Dis"},{"key":"2023011917135746200_ref9","doi-asserted-by":"crossref","first-page":"2650","DOI":"10.1038\/srep02650","article-title":"Comprehensive identification of mutational cancer driver genes across 12 tumor types","volume":"3","author":"Tamborero","year":"2013","journal-title":"Sci Rep"},{"key":"2023011917135746200_ref10","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1038\/s41586-021-03771-1","article-title":"In silico saturation mutagenesis of cancer genes","volume":"596","author":"Mui\u00f1os","year":"2021","journal-title":"Nature"},{"key":"2023011917135746200_ref11","doi-asserted-by":"crossref","first-page":"W452","DOI":"10.1093\/nar\/gks539","article-title":"SIFT web server: predicting effects of amino acid substitutions on proteins","volume":"40","author":"Sim","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"2023011917135746200_ref12","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1038\/nmeth0410-248","article-title":"A method and server for predicting damaging missense mutations","volume":"7","author":"Adzhubei","year":"2010","journal-title":"Nat Methods"},{"key":"2023011917135746200_ref13","doi-asserted-by":"crossref","first-page":"e46688","DOI":"10.1371\/journal.pone.0046688","article-title":"Predicting the functional effect of amino acid substitutions and Indels","volume":"7","author":"Choi","year":"2012","journal-title":"PLoS One"},{"key":"2023011917135746200_ref14","doi-asserted-by":"crossref","first-page":"e94","DOI":"10.1093\/nar\/gkz536","article-title":"Evolutionary coupling analysis identifies the impact of disease-associated variants at less-conserved sites","volume":"47","author":"Kim","year":"2019","journal-title":"Nucleic Acids Res"},{"key":"2023011917135746200_ref15","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1038\/s41592-018-0138-4","article-title":"Deep generative models of genetic variation capture the effects of mutations","volume":"15","author":"Riesselman","year":"2018","journal-title":"Nat Methods"},{"key":"2023011917135746200_ref16","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1093\/molbev\/msv211","article-title":"Coevolutionary landscape inference and the context-dependence of mutations in beta-lactamase TEM-1","volume":"33","author":"Figliuzzi","year":"2016","journal-title":"Mol Biol Evol"},{"key":"2023011917135746200_ref17","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1038\/nbt.3769","article-title":"Mutation effects predicted from sequence co-variation","volume":"35","author":"Hopf","year":"2017","journal-title":"Nat Biotechnol"},{"key":"2023011917135746200_ref18","doi-asserted-by":"crossref","first-page":"2675","DOI":"10.1093\/molbev\/msr094","article-title":"Molecular evolution of protein conformational changes revealed by a network of evolutionarily coupled residues","volume":"28","author":"Jeon","year":"2011","journal-title":"Mol Biol Evol"},{"key":"2023011917135746200_ref19","doi-asserted-by":"crossref","first-page":"2626","DOI":"10.1093\/bioinformatics\/bty1033","article-title":"Systematic characterization and prediction of post-translational modification cross-talk between proteins","volume":"35","author":"Huang","year":"2018","journal-title":"Bioinformatics"},{"key":"2023011917135746200_ref20","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1016\/j.cell.2016.05.047","article-title":"Origins of allostery and evolvability in proteins: a case study","volume":"166","author":"Raman","year":"2016","journal-title":"Cell"},{"key":"2023011917135746200_ref21","doi-asserted-by":"crossref","first-page":"e1004817","DOI":"10.1371\/journal.pcbi.1004817","article-title":"Evolution-based functional decomposition of proteins","volume":"12","author":"Rivoire","year":"2016","journal-title":"PLoS Comput Biol"},{"key":"2023011917135746200_ref22","doi-asserted-by":"crossref","first-page":"1282","DOI":"10.1093\/bioinformatics\/btm098","article-title":"UniRef: comprehensive and non-redundant UniProt reference clusters","volume":"23","author":"Suzek","year":"2007","journal-title":"Bioinformatics"},{"key":"2023011917135746200_ref23","doi-asserted-by":"crossref","first-page":"3389","DOI":"10.1093\/nar\/25.17.3389","article-title":"Gapped BLAST and PSI-BLAST: a new generation of protein database search programs","volume":"25","author":"Altschul","year":"1997","journal-title":"Nucleic Acids Res"},{"key":"2023011917135746200_ref24","doi-asserted-by":"crossref","first-page":"e1000522","DOI":"10.1371\/journal.pcbi.1000522","article-title":"Integration of evolutionary features for the identification of functionally important residues in major facilitator superfamily transporters","volume":"5","author":"Jeon","year":"2009","journal-title":"PLoS Comput Biol"},{"key":"2023011917135746200_ref25","doi-asserted-by":"crossref","first-page":"1792","DOI":"10.1093\/nar\/gkh340","article-title":"MUSCLE: multiple sequence alignment with high accuracy and high throughput","volume":"32","author":"Edgar","year":"2004","journal-title":"Nucleic Acids Res"},{"key":"2023011917135746200_ref26","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1006\/jmbi.1999.3208","article-title":"Effective use of sequence correlation and conservation in fold recognition","volume":"293","author":"Olmea","year":"1999","journal-title":"J Mol Biol"},{"key":"2023011917135746200_ref27","doi-asserted-by":"crossref","first-page":"3312","DOI":"10.1093\/bioinformatics\/btm515","article-title":"Co-evolving residues in membrane proteins","volume":"23","author":"Fuchs","year":"2007","journal-title":"Bioinformatics"},{"key":"2023011917135746200_ref28","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach Learn"},{"key":"2023011917135746200_ref29","doi-asserted-by":"crossref","first-page":"D187","DOI":"10.1093\/nar\/gkj161","article-title":"The universal protein resource (UniProt): an expanding universe of protein information","volume":"34","author":"Wu","year":"2006","journal-title":"Nucleic Acids Res"},{"key":"2023011917135746200_ref30","doi-asserted-by":"crossref","first-page":"8685","DOI":"10.1073\/pnas.0701361104","article-title":"The human disease network","volume":"104","author":"Goh","year":"2007","journal-title":"Proc Natl Acad Sci"},{"key":"2023011917135746200_ref31","doi-asserted-by":"crossref","first-page":"14330","DOI":"10.1073\/pnas.1616440113","article-title":"Evaluating the evaluation of cancer driver genes","volume":"113","author":"Tokheim","year":"2016","journal-title":"Proc Natl Acad Sci"},{"key":"2023011917135746200_ref32","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.cell.2018.02.060","article-title":"Comprehensive characterization of cancer driver genes and mutations","volume":"173","author":"Bailey","year":"2018","journal-title":"Cell"},{"key":"2023011917135746200_ref33","doi-asserted-by":"crossref","first-page":"20707","DOI":"10.1038\/srep20707","article-title":"Cell type-specific properties and environment shape tissue specificity of cancer genes","volume":"6","author":"Schaefer","year":"2016","journal-title":"Sci Rep"},{"key":"2023011917135746200_ref34","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1038\/ng.3168","article-title":"Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes","volume":"47","author":"Leiserson","year":"2015","journal-title":"Nat Genet"},{"key":"2023011917135746200_ref35","doi-asserted-by":"crossref","first-page":"D536","DOI":"10.1093\/nar\/gkv1115","article-title":"Integrated interactions database: tissue-specific view of the human and model organism interactomes","volume":"44","author":"Kotlyar","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"2023011917135746200_ref36","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1038\/nmeth.4540","article-title":"Interactome INSIDER: a structural interactome browser for genomic studies","volume":"15","author":"Meyer","year":"2018","journal-title":"Nat Methods"},{"key":"2023011917135746200_ref37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1200\/PO.17.00011","article-title":"OncoKB: a precision oncology knowledge base","volume":"2017","author":"Chakravarty","year":"2017","journal-title":"JCO Precis Oncol"},{"key":"2023011917135746200_ref38","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1038\/335440a0","article-title":"Bcl-2 gene promotes haemopoietic cell survival and cooperates with c-myc to immortalize pre-B cells","volume":"335","author":"Vaux","year":"1988","journal-title":"Nature"},{"key":"2023011917135746200_ref39","doi-asserted-by":"crossref","first-page":"983","DOI":"10.1126\/science.275.5302.983","article-title":"Structure of Bcl-xL-Bak peptide complex: recognition between regulators of apoptosis","volume":"275","author":"Sattler","year":"1997","journal-title":"Science"},{"key":"2023011917135746200_ref40","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1182\/blood-2014-04-571786","article-title":"BCL2 mutations are associated with increased risk of transformation and shortened survival in follicular lymphoma","volume":"125","author":"Correia","year":"2015","journal-title":"Blood"},{"key":"2023011917135746200_ref41","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/978-1-4419-8023-6_5","article-title":"Dysregulation of the Wnt pathway in solid tumors","volume":"53","author":"Prosperi","year":"2011","journal-title":"Targeting Wnt Pathway Cancer"},{"key":"2023011917135746200_ref42","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.cels.2019.05.005","article-title":"CHASMplus reveals the scope of somatic missense mutations driving human cancers","volume":"9","author":"Tokheim","year":"2019","journal-title":"Cell Syst"},{"key":"2023011917135746200_ref43","doi-asserted-by":"crossref","first-page":"S3","DOI":"10.1186\/1471-2164-14-S3-S3","article-title":"Identifying mendelian disease genes with the variant effect scoring tool","volume":"14 Suppl 3","author":"Carter","year":"2013","journal-title":"BMC Genomics"},{"key":"2023011917135746200_ref44","doi-asserted-by":"crossref","first-page":"D886","DOI":"10.1093\/nar\/gky1016","article-title":"CADD: predicting the deleteriousness of variants throughout the human genome","volume":"47","author":"Rentzsch","year":"2019","journal-title":"Nucleic Acids Res"},{"key":"2023011917135746200_ref45","doi-asserted-by":"crossref","first-page":"5668","DOI":"10.1128\/MCB.00418-08","article-title":"The protein kinase C-responsive inhibitory domain of CARD11 functions in NF-\u03baB activation to regulate the association of multiple signaling cofactors that differentially depend on Bcl10 and MALT1 for association","volume":"28","author":"McCully","year":"2008","journal-title":"Mol Cell Biol"},{"key":"2023011917135746200_ref46","doi-asserted-by":"crossref","DOI":"10.1126\/science.1260419","article-title":"Tissue-based map of the human proteome","volume":"347","author":"Uhl\u00e9n","year":"2015","journal-title":"Science"},{"key":"2023011917135746200_ref47","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1038\/onc.2009.330","article-title":"MdmX is a substrate for the deubiquitinating enzyme USP2a","volume":"29","author":"Allende-Vega","year":"2010","journal-title":"Oncogene"},{"key":"2023011917135746200_ref48","doi-asserted-by":"crossref","first-page":"1500","DOI":"10.1093\/carcin\/bgu015","article-title":"Ubiquitin-specific protease 2a stabilizes MDM4 and facilitates the p53-mediated intrinsic apoptotic pathway in glioblastoma","volume":"35","author":"Wang","year":"2014","journal-title":"Carcinogenesis"},{"key":"2023011917135746200_ref49","doi-asserted-by":"crossref","first-page":"36295","DOI":"10.1074\/jbc.M006023200","article-title":"Critical role of Smads and AP-1 complex in transforming growth factor-\u03b2-dependent apoptosis","volume":"275","author":"Yamamura","year":"2000","journal-title":"J Biol Chem"},{"key":"2023011917135746200_ref50","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1016\/S0006-291X(03)01066-0","article-title":"Role of Smad4 (DPC4) inactivation in human cancer","volume":"306","author":"Miyaki","year":"2003","journal-title":"Biochem Biophys Res Commun"},{"issue":"6432","key":"2023011917135746200_ref51","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1126\/science.aaw3472","article-title":"Tissue-specificity in cancer: the rule, not the exception","volume":"363","author":"Haigis","year":"2019","journal-title":"Science"},{"key":"2023011917135746200_ref52","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/ve\/veaa006","article-title":"Coevolution analysis of amino-acids reveals diversified drug-resistance solutions in viral sequences: a case study of hepatitis B virus","volume":"6","author":"Teppa","year":"2020","journal-title":"Virus Evol"},{"key":"2023011917135746200_ref53","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1109\/34.75512","article-title":"Small sample size effects in statistical pattern recognition: recommendations for practitioners","volume":"13","author":"Raudys","year":"1991","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2023011917135746200_ref54","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-021-21636-z","article-title":"Large-scale discovery of protein interactions at residue resolution using co-evolution calculated from genomic sequences","volume":"12","author":"Green","year":"2021","journal-title":"Nat Commun"},{"key":"2023011917135746200_ref55","doi-asserted-by":"crossref","DOI":"10.1126\/science.aaw6718","article-title":"Protein interaction networks revealed by proteome coevolution downloaded from","volume":"365","author":"Cong","year":"2019","journal-title":"Science"},{"key":"2023011917135746200_ref56","doi-asserted-by":"crossref","first-page":"e8591","DOI":"10.1371\/journal.pone.0008591","article-title":"Structural and functional roles of coevolved sites in proteins","volume":"5","author":"Chakrabarti","year":"2010","journal-title":"PLoS One"},{"key":"2023011917135746200_ref57","doi-asserted-by":"crossref","first-page":"863","DOI":"10.1002\/prot.21972","article-title":"Analysis of the residue-residue coevolution network and the functionally important residues in proteins","volume":"72","author":"Lee","year":"2008","journal-title":"Proteins Struct Funct Genet"},{"key":"2023011917135746200_ref58","doi-asserted-by":"crossref","first-page":"e1002510","DOI":"10.1371\/journal.pgen.1002510","article-title":"Rewiring of PDZ domain-ligand interaction network contributed to eukaryotic evolution","volume":"8","author":"Kim","year":"2012","journal-title":"PLoS Genet"},{"key":"2023011917135746200_ref59","doi-asserted-by":"crossref","first-page":"e25","DOI":"10.1371\/journal.pcbi.0030025","article-title":"Specificity and evolvability in eukaryotic protein interaction networks","volume":"3","author":"Beltrao","year":"2007","journal-title":"PLoS Comput Biol"},{"key":"2023011917135746200_ref60","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1007\/s00018-013-1458-2","article-title":"The functional importance of co-evolving residues in proteins","volume":"71","author":"Sandler","year":"2014","journal-title":"Cell Mol Life Sci"},{"key":"2023011917135746200_ref61","doi-asserted-by":"crossref","first-page":"e1004518","DOI":"10.1371\/journal.pcbi.1004518","article-title":"A pan-cancer catalogue of cancer driver protein interaction interfaces","volume":"11","author":"Porta-Pardo","year":"2015","journal-title":"PLoS Comput Biol"},{"key":"2023011917135746200_ref62","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.molcel.2018.06.012","article-title":"A systematic p53 mutation library links differential functional impact to cancer mutation pattern and evolutionary conservation","volume":"71","author":"Kotler","year":"2018","journal-title":"Mol Cell"},{"key":"2023011917135746200_ref63","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1038\/nature24284","article-title":"Association analysis identifies 65 new breast cancer risk loci","volume":"551","author":"Michailidou","year":"2017","journal-title":"Nature"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/24\/1\/bbac593\/48782074\/bbac593.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/24\/1\/bbac593\/48782074\/bbac593.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,3]],"date-time":"2023-12-03T15:56:15Z","timestamp":1701618975000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbac593\/6961611"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,27]]},"references-count":63,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1,19]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbac593","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"value":"1467-5463","type":"print"},{"value":"1477-4054","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,1]]},"published":{"date-parts":[[2022,12,27]]},"article-number":"bbac593"}}