{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T02:09:43Z","timestamp":1723687783267},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T00:00:00Z","timestamp":1635552000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T00:00:00Z","timestamp":1635552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Front. Comput. Sci."],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s11704-021-0476-8","type":"journal-article","created":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T12:02:40Z","timestamp":1635595360000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A framework combines supervised learning and dense subgraphs discovery to predict protein complexes"],"prefix":"10.1007","volume":"16","author":[{"given":"Suyu","family":"Mei","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"issue":"2","key":"476_CR1","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/S1097-2765(04)00003-6","volume":"13","author":"N J Krogan","year":"2004","unstructured":"Krogan N J, Peng W, Cagney G, Robinson M D, Haw R, Zhong G, et al. High-definition macromolecular composition of yeast RNA-processing complexes. Molecular Cell, 2004, 13(2): 225\u2013239","journal-title":"Molecular Cell"},{"issue":"3","key":"476_CR2","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1038\/nbt1295","volume":"25","author":"K Lage","year":"2007","unstructured":"Lage K, Karlberg E O, St\u00f8rling Z M, Olason P I, Pedersen A G, Rigina O, et al. A human phenome-interactome network of protein complexes implicated in genetic disorders. Nature Biotechnology, 2007, 25(3): 309\u2013316","journal-title":"Nature Biotechnology"},{"issue":"suppl_1","key":"476_CR3","doi-asserted-by":"publisher","first-page":"D41","DOI":"10.1093\/nar\/gkh092","volume":"32","author":"H W Mewes","year":"2004","unstructured":"Mewes H W, Amid C, Arnold R, Frishman D, G\u00fcldener U, Mannhaupt G, et al. MIPS: analysis and annotation of proteins from whole genomes. Nucleic Acids Research, 2004, 32(suppl_1): D41\u2013D44","journal-title":"Nucleic Acids Research"},{"issue":"suppl_4","key":"476_CR4","doi-asserted-by":"publisher","first-page":"D497","DOI":"10.1093\/nar\/gkp914","volume":"38","author":"A Ruepp","year":"2010","unstructured":"Ruepp A, Waegele B, Lechner M, Brauner B, Dunger-Kaltenbach, Fobo G, et al. CORUM: the comprehensive resource of mammalian protein complexes\u20142009. Nucleic Acids Research, 2010, 38(suppl_4): D497\u2013D501","journal-title":"Nucleic Acids Research"},{"issue":"suppl_1","key":"476_CR5","doi-asserted-by":"publisher","first-page":"D767","DOI":"10.1093\/nar\/gkn892","volume":"37","author":"T S Keshava Prasad","year":"2009","unstructured":"Keshava Prasad T S, Goel R, Kandasamy K, Keerthikumar S, Kumar S, Mathivanan S, et al. Human Protein Reference Database\u20142009 update. Nucleic Acids Research, 2009, 37(suppl_1): D767\u2013D772","journal-title":"Nucleic Acids Research"},{"issue":"1","key":"476_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2164-11-1","volume":"11","author":"X Li","year":"2010","unstructured":"Li X, Wu M, Kwoh C K, Ng S K. Computational approaches for detecting protein complexes from protein interaction networks: a survey. BMC Genomics, 2010, 11(1): 1\u201319","journal-title":"BMC Genomics"},{"issue":"19","key":"476_CR7","doi-asserted-by":"publisher","first-page":"2590","DOI":"10.1016\/j.febslet.2015.04.026","volume":"589","author":"S Srihari","year":"2015","unstructured":"Srihari S, Yong C H, Patil A, Wong L. Methods for protein complex prediction and their contributions towards understanding the organisation, function and dynamics of complexes. FEBS Letters, 2015, 589(19): 2590\u20132602","journal-title":"FEBS Letters"},{"issue":"1","key":"476_CR8","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.ygeno.2019.01.011","volume":"112","author":"J Zahiri","year":"2020","unstructured":"Zahiri J, Emamjomeh A, Bagheri S, Ivazeh A, Mahdevar G, Sepasi H, et al. Protein complex prediction: a survey. Genomics, 2020, 112(1): 174\u2013183","journal-title":"Genomics"},{"issue":"9","key":"476_CR9","doi-asserted-by":"publisher","first-page":"575","DOI":"10.1145\/362342.362367","volume":"16","author":"C Bron","year":"1973","unstructured":"Bron C, Kerbosch J. Finding all cliques of an undirected graph. Communications of the ACM, 1973, 16(9): 575\u2013580","journal-title":"Communications of the ACM"},{"issue":"1","key":"476_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-4-2","volume":"4","author":"G Bader","year":"2003","unstructured":"Bader G, Hogue C. An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinformatics, 2003, 4(1): 1\u201327","journal-title":"BMC Bioinformatics"},{"key":"476_CR11","unstructured":"Van Dongen S. Graph clustering by flow simulation. University of Utrecht, 2000"},{"issue":"5","key":"476_CR12","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1038\/nmeth.1938","volume":"9","author":"T Nepusz","year":"2012","unstructured":"Nepusz T, Yu H, Paccanaro A. Detecting overlapping protein complexes in protein-protein interaction networks. Nature Methods, 2012, 9(5): 471\u2013472","journal-title":"Nature Methods"},{"issue":"12","key":"476_CR13","first-page":"37","volume":"17","author":"M Pellegrini","year":"2016","unstructured":"Pellegrini M, Baglioni M, Geraci F. Protein complex prediction for large protein protein interaction networks with the Core&Peel method. BMC Bioinformatics, 2016, 17(12): 37\u201358","journal-title":"BMC Bioinformatics"},{"key":"476_CR14","doi-asserted-by":"publisher","first-page":"e0183460","DOI":"10.1371\/journal.pone.0183460","volume":"12","author":"C Hernandez","year":"2017","unstructured":"Hernandez C, Mella C, Navarro G, Olivera-Nappa A, Araya J. Protein complex prediction via dense subgraphs and false positive analysis. PLoS ONE, 2017, 12: e0183460","journal-title":"PLoS ONE"},{"issue":"11","key":"476_CR15","doi-asserted-by":"publisher","first-page":"2023","DOI":"10.1002\/prot.24365","volume":"81","author":"M Wu","year":"2013","unstructured":"Wu M, Xie Z, Li X, Kwoh C K, Zheng J. Identifying protein complexes from heterogeneous biological data. Proteins, 2013, 81(11): 2023\u20132033","journal-title":"Proteins"},{"issue":"7084","key":"476_CR16","doi-asserted-by":"publisher","first-page":"631","DOI":"10.1038\/nature04532","volume":"440","author":"A C Gavin","year":"2006","unstructured":"Gavin A C, Aloy P, Grandi P, Krause R, Boesche M, Marzioch M, et al. Proteome survey reveals modularity of the yeast cell machinery. Nature 2006, 440(7084): 631\u2013636","journal-title":"Nature"},{"issue":"1","key":"476_CR17","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1093\/bioinformatics\/btq652","volume":"27","author":"G Geva","year":"2011","unstructured":"Geva G, Sharan R. Identification of protein complexes from coimmunoprecipitation data. Bioinformatics, 2011, 27(1): 111\u2013117","journal-title":"Bioinformatics"},{"issue":"7084","key":"476_CR18","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1038\/nature04670","volume":"440","author":"N J Krogan","year":"2006","unstructured":"Krogan N J, Cagney G, Yu H, Zhong G, Guo X, Ignatchenko A, et al. Global landscape of protein complexes in the yeast Saccharomyces cerevisiae. Nature, 2006, 440(7084): 637\u2013643","journal-title":"Nature"},{"issue":"13","key":"476_CR19","doi-asserted-by":"publisher","first-page":"i250","DOI":"10.1093\/bioinformatics\/btn164","volume":"24","author":"Y Qi","year":"2008","unstructured":"Qi Y, Balem F, Faloutsos C, Klein-Seetharaman J, Bar-Joseph Z. Protein complex identification by supervised graph local clustering. Bioinformatics, 2008, 24(13): i250\u2013i268","journal-title":"Bioinformatics"},{"issue":"D1","key":"476_CR20","doi-asserted-by":"publisher","first-page":"D481","DOI":"10.1093\/nar\/gkv1351","volume":"44","author":"A Fabregat","year":"2016","unstructured":"Fabregat A, Sidiropoulos K, Garapati P, Gillespie M, Hausmann K, Haw R, et al. The Reactome pathway Knowledgebase. Nucleic Acids Research, 2016, 44(D1): D481\u2013D487","journal-title":"Nucleic Acids Research"},{"issue":"5","key":"476_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/gb-2010-11-5-r53","volume":"11","author":"G Wu","year":"2010","unstructured":"Wu G, Feng X, Stein L. A human functional protein interaction network and its application to cancer data analysis. Genome Biology, 2010, 11(5): 1\u201323","journal-title":"Genome Biology"},{"issue":"D1","key":"476_CR22","doi-asserted-by":"publisher","first-page":"D470","DOI":"10.1093\/nar\/gku1204","volume":"43","author":"A Chatr-Aryamontri","year":"2015","unstructured":"Chatr-Aryamontri A, Breitkreutz B J, Oughtred R, Boucher L, Heinicke S, Chen D, et al. The BioGRID interaction database: 2015 update. Nucleic Acids Research, 2015, 43(D1): D470\u2013D478","journal-title":"Nucleic Acids Research"},{"issue":"D1","key":"476_CR23","doi-asserted-by":"publisher","first-page":"D358","DOI":"10.1093\/nar\/gkt1115","volume":"42","author":"S Orchard","year":"2014","unstructured":"Orchard S, Ammari M, Aranda B, Breuza L, Briganti L, Broackes-Carter F, et al. The MIntAct project\u2013IntAct as a common curation platform for 11 molecular interaction databases. Nucleic Acids Research, 2014, 42(D1): D358\u2013D363","journal-title":"Nucleic Acids Research"},{"issue":"3","key":"476_CR24","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1074\/mcp.M600381-MCP200","volume":"6","author":"S R Collins","year":"2007","unstructured":"Collins S R, Kemmeren P, Zhao X C, Greenblatt J F, Spencer F, Holstege F C, et al. Toward a comprehensive atlas of the physical interactome of Saccharomyces cerevisiae. Molecular & Cellular Proteomics, 2007, 6(3): 439\u2013450","journal-title":"Molecular & Cellular Proteomics"},{"issue":"5898","key":"476_CR25","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1126\/science.1158684","volume":"322","author":"H Yu","year":"2008","unstructured":"Yu H, Braun P, Yildirim M A, Lemmens I, Venkatesan K, Sahalie J, et al. High-quality binary protein interaction map of the yeast interactome network. Science, 2008, 322(5898): 104\u2013110","journal-title":"Science"},{"issue":"8","key":"476_CR26","doi-asserted-by":"publisher","first-page":"4569","DOI":"10.1073\/pnas.061034498","volume":"98","author":"T Ito","year":"2001","unstructured":"Ito T, Chiba T, Ozawa R, Yoshida M, Hattori M, Sakaki Y. A comprehensive two-hybrid analysis to explore the yeast protein interactome. Proceedings of the National Academy of Sciences of The United States of America, 2001, 98(8): 4569\u20134574","journal-title":"Proceedings of the National Academy of Sciences of The United States of America"},{"issue":"6770","key":"476_CR27","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1038\/35001009","volume":"403","author":"P Uetz","year":"2000","unstructured":"Uetz P, Giot L, Cagney G, Mansfield T A, Judson R S, Knight J R, et al. A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae. Nature, 2000, 403(6770): 623\u2013627","journal-title":"Nature"},{"issue":"3","key":"476_CR28","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1093\/nar\/gkn1005","volume":"37","author":"S Pu","year":"2009","unstructured":"Pu S, Wong J, Turner B, Cho E, Wodak S J. Up-to-date catalogues of yeast protein complexes. Nucleic Acids Research, 2009, 37(3): 825\u2013831","journal-title":"Nucleic Acids Research"},{"issue":"1","key":"476_CR29","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1093\/bioinformatics\/btr610","volume":"28","author":"S Maetschke","year":"2012","unstructured":"Maetschke S, Simonsen M, Davis M, Ragan M A. Gene ontology-driven inference of protein-protein interactions using inducers. Bioinformatics, 2012, 28(1): 69\u201375","journal-title":"Bioinformatics"},{"issue":"18","key":"476_CR30","doi-asserted-by":"publisher","first-page":"i645","DOI":"10.1093\/bioinformatics\/btq394","volume":"26","author":"Y Qi","year":"2010","unstructured":"Qi Y, Tastan O, Carbonell J G, Klein-Seetharaman J, Weston J. Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins. Bioinformatics, 2010, 26(18): i645\u2013i652","journal-title":"Bioinformatics"},{"key":"476_CR31","doi-asserted-by":"publisher","first-page":"8034","DOI":"10.1038\/srep08034","volume":"5","author":"S Mei","year":"2015","unstructured":"Mei S, Zhu H. A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks. Scientific Reports, 2015, 5: 8034","journal-title":"Scientific Reports"},{"issue":"5","key":"476_CR32","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1021\/acs.jproteome.7b00702","volume":"17","author":"S Mei","year":"2018","unstructured":"Mei S. In silico enhancing M. tuberculosis protein interaction networks in STRING to predict drug-resistance pathways and pharmacological risks. Journal of Proteome Research, 2018, 17(5): 1749\u20131760","journal-title":"Journal of Proteome Research"},{"issue":"1","key":"476_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12864-018-4873-9","volume":"19","author":"S Mei","year":"2018","unstructured":"Mei S, Flemington E K, Zhang K. Transferring knowledge of bacterial protein interaction networks to predict pathogen targeted human genes and immune signaling pathways: a case study on M. tuberculosis. BMC Genomics, 2018, 19(1): 1\u201321","journal-title":"BMC Genomics"},{"issue":"17","key":"476_CR34","doi-asserted-by":"publisher","first-page":"3389","DOI":"10.1093\/nar\/25.17.3389","volume":"25","author":"S F Altschul","year":"1997","unstructured":"Altschul S F, Madden T L, Sch\u00e4ffer A A, Zhang J, Zhang Z. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Research, 1997, 25(17): 3389\u20133402","journal-title":"Nucleic Acids Research"},{"issue":"1","key":"476_CR35","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1093\/nar\/gkg095","volume":"31","author":"B Boeckmann","year":"2003","unstructured":"Boeckmann B, Bairoch A, Apweiler R, Blatter M C, Estreicher A, Gasteiger E, et al. The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003. Nucleic Acids Research, 2003, 31(1): 365\u2013370","journal-title":"Nucleic Acids Research"},{"issue":"D1","key":"476_CR36","doi-asserted-by":"publisher","first-page":"D396","DOI":"10.1093\/nar\/gkn803","volume":"37","author":"D Barrell","year":"2009","unstructured":"Barrell D, Dimmer E, Huntley R P, Binns D, O\u2019Donovan C, Apweiler R, et al. The GOA database in 2009\u2013an integrated gene ontology annotation resource. Nucleic Acids Research, 2009, 37(D1): D396\u2013D403","journal-title":"Nucleic Acids Research"},{"key":"476_CR37","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s10994-010-5221-8","volume":"85","author":"F Yu","year":"2011","unstructured":"Yu F, Huang F, Lin C. Dual coordinate descent methods for logistic regression and maximum entropy models. Machine Learning, 2011, 85: 41\u201375","journal-title":"Machine Learning"},{"issue":"2","key":"476_CR38","first-page":"1871","volume":"9","author":"R Fan","year":"2008","unstructured":"Fan R, Chang K, Hsieh C, Wang X, Lin C. LIBLINEAR: a library for large linear classification. Machine Learning Research, 2008, 9(2): 1871\u20131874","journal-title":"Machine Learning Research"},{"issue":"7043","key":"476_CR39","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1038\/nature03607","volume":"435","author":"G Palla","year":"2005","unstructured":"Palla G, Der\u00e9nyi I, Farkas I, Vicsek T. Uncovering the overlapping community structure of complex networks in nature and society. Nature, 2005, 435(7043): 814\u2013818","journal-title":"Nature"},{"issue":"8","key":"476_CR40","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1093\/bioinformatics\/btl039","volume":"22","author":"B Adamcsek","year":"2006","unstructured":"Adamcsek B, Palla G, Farkas I J, Der\u00e9nyi I, Vicsek T. CFinder: locating cliques and overlapping modules in biological networks. Bioinformatics, 2006, 22(8): 1021\u20131023","journal-title":"Bioinformatics"},{"key":"476_CR41","doi-asserted-by":"crossref","unstructured":"Noack A, Rotta R. Multi-level algorithms for modularity clustering. In: Proceedings of the 8th International Symposium on Experimental Algorithms. 2009, 257\u2013268","DOI":"10.1007\/978-3-642-02011-7_24"},{"key":"476_CR42","first-page":"34","volume":"152","author":"F Rossi","year":"2011","unstructured":"Rossi F, Villa-Vialaneix N. Repr\u00e9sentation d\u2019un grand r\u00e9seau \u00e0 partir d\u2019une classification hi\u00e9rarchique de ses sommets. Journal de la Soci\u00e9t\u00e9 Fran\u00e7aise de Statistique, 2011, 152: 34\u201365","journal-title":"Journal de la Soci\u00e9t\u00e9 Fran\u00e7aise de Statistique"},{"key":"476_CR43","doi-asserted-by":"publisher","first-page":"036104","DOI":"10.1103\/PhysRevE.74.036104","volume":"74","author":"M E Newman","year":"2006","unstructured":"Newman M E. Finding community structure in networks using the eigenvectors of matrices. Physical Review E, 2006, 74: 036104","journal-title":"Physical Review E"},{"issue":"1","key":"476_CR44","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-5-1","volume":"5","author":"L V Zhang","year":"2004","unstructured":"Zhang L V, Wong S L, King O D, Roth F P. Predicting co-complexed protein pairs using genomic and proteomic data integration. BMC Bioinformatics, 2004, 5(1): 1\u201315","journal-title":"BMC Bioinformatics"},{"issue":"4","key":"476_CR45","doi-asserted-by":"publisher","first-page":"e1000054","DOI":"10.1371\/journal.pcbi.1000054","volume":"4","author":"J Qiu","year":"2008","unstructured":"Qiu J, Noble W S. Predicting co-complexed protein pairs from heterogeneous data. PLoS Computational Biology, 2008, 4(4): e1000054","journal-title":"PLoS Computational Biology"},{"issue":"Suppl 2","key":"476_CR46","doi-asserted-by":"publisher","first-page":"S7","DOI":"10.1186\/1752-0509-6-S2-S7","volume":"6","author":"S Kikugawa","year":"2012","unstructured":"Kikugawa S, Nishikata K, Murakami K, Sato Y, Suzuki M, Altaf-Ul-Amin M, et al. PCDq: human protein complex database with quality index which summarizes different levels of evidences of protein complexes predicted from H-Invitational protein-protein interactions integrative dataset. BMC Systems Biology, 2012, 6(Suppl 2): S7","journal-title":"BMC Systems Biology"},{"issue":"11","key":"476_CR47","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1002\/jcc.25780","volume":"40","author":"S Romero-Molina","year":"2019","unstructured":"Romero-Molina S, Ruiz-Blanco Y B, Harms M, M\u00fcnch J, Sanchez-Garcia E. PPI-Detect: a support vector machine model for sequence-based prediction of protein-protein interactions. Journal of Computational Chemistry, 2019, 40(11): 1233\u20131242","journal-title":"Journal of Computational Chemistry"},{"issue":"14","key":"476_CR48","doi-asserted-by":"publisher","first-page":"i305","DOI":"10.1093\/bioinformatics\/btz328","volume":"35","author":"M Chen","year":"2019","unstructured":"Chen M, Ju C J, Zhou G, Chen X, Zhang T, Chang K W, et al. Multifaceted protein-protein interaction prediction based on Siamese residual RCNN. Bioinformatics, 2019, 35(14): i305\u2013i314","journal-title":"Bioinformatics"}],"container-title":["Frontiers of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-021-0476-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11704-021-0476-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11704-021-0476-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T22:14:14Z","timestamp":1679523254000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11704-021-0476-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,30]]},"references-count":48,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["476"],"URL":"https:\/\/doi.org\/10.1007\/s11704-021-0476-8","relation":{},"ISSN":["2095-2228","2095-2236"],"issn-type":[{"value":"2095-2228","type":"print"},{"value":"2095-2236","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,30]]},"assertion":[{"value":"24 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 March 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 October 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"161901"}}