{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T14:30:51Z","timestamp":1759847451382,"version":"3.41.2"},"reference-count":56,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T00:00:00Z","timestamp":1604102400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100001322","name":"South African Medical Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001322","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Medical Students Research Training Programme"},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["1U01HG007459-1","U24HG006941"],"award-info":[{"award-number":["1U01HG007459-1","U24HG006941"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,20]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Advances in high-throughput sequencing technologies have resulted in an exponential growth of publicly accessible biological datasets. In the \u2018big data\u2019 driven \u2018post-genomic\u2019 context, much work is being done to explore human protein\u2013protein interactions (PPIs) for a systems level based analysis to uncover useful signals and gain more insights to advance current knowledge and answer specific biological and health questions. These PPIs are experimentally or computationally predicted, stored in different online databases and some of PPI resources are updated regularly. As with many biological datasets, such regular updates continuously render older PPI datasets potentially outdated. Moreover, while many of these interactions are shared between these online resources, each resource includes its own identified PPIs and none of these databases exhaustively contains all existing human PPI maps. In this context, it is essential to enable the integration of or combining interaction datasets from different resources, to generate a PPI map with increased coverage and confidence. To allow researchers to produce an integrated human PPI datasets in real-time, we introduce the integrated human protein\u2013protein interaction network generator (IHP-PING) tool. IHP-PING is a flexible python package which generates a human PPI network from freely available online resources. This tool extracts and integrates heterogeneous PPI datasets to generate a unified PPI network, which is stored locally for further applications.<\/jats:p>","DOI":"10.1093\/bib\/bbaa277","type":"journal-article","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T11:14:31Z","timestamp":1600773271000},"source":"Crossref","is-referenced-by-count":9,"title":["IHP-PING\u2014generating integrated human protein\u2013protein interaction networks on-the-fly"],"prefix":"10.1093","volume":"22","author":[{"given":"Gaston K","family":"Mazandu","sequence":"first","affiliation":[{"name":"Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI-Africa WT Centre, University of Cape Town, Health Sciences Campus. Anzio Rd, Observatory, 7925, South Africa"},{"name":"African Institute for Mathematical Sciences, 5-7 Melrose Road, Muizenberg, 7945, Cape Town, South Africa"},{"name":"Division of Human Genetics, Department of Pathology, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory, 7925, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Hooper","sequence":"additional","affiliation":[{"name":"Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI-Africa WT Centre, University of Cape Town, Health Sciences Campus. Anzio Rd, Observatory, 7925, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenneth","family":"Opap","sequence":"additional","affiliation":[{"name":"Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI-Africa WT Centre, University of Cape Town, Health Sciences Campus. Anzio Rd, Observatory, 7925, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Funmilayo","family":"Makinde","sequence":"additional","affiliation":[{"name":"Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI-Africa WT Centre, University of Cape Town, Health Sciences Campus. Anzio Rd, Observatory, 7925, South Africa"},{"name":"African Institute for Mathematical Sciences, 5-7 Melrose Road, Muizenberg, 7945, Cape Town, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Victoria","family":"Nembaware","sequence":"additional","affiliation":[{"name":"Division of Human Genetics, Department of Pathology, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory, 7925, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas E","family":"Thomford","sequence":"additional","affiliation":[{"name":"Division of Human Genetics, Department of Pathology, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory, 7925, South Africa"},{"name":"School of Medical Sciences, University of Cape Coast, PMB, Cape Coast, Ghana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emile R","family":"Chimusa","sequence":"additional","affiliation":[{"name":"Division of Human Genetics, Department of Pathology, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory, 7925, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ambroise","family":"Wonkam","sequence":"additional","affiliation":[{"name":"Division of Human Genetics, Department of Pathology, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory, 7925, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicola J","family":"Mulder","sequence":"additional","affiliation":[{"name":"Computational Biology Division, Department of Integrative Biomedical Sciences, IDM, CIDRI-Africa WT Centre, University of Cape Town, Health Sciences Campus. Anzio Rd, Observatory, 7925, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,10,31]]},"reference":[{"issue":"6","key":"2021072112310619100_ref1","first-page":"1141","article-title":"Large-scale data-driven integrative framework for extracting essential targets and processes from disease-associated gene data sets","volume":"19","author":"Mazandu","year":"2018","journal-title":"Brief Bioinform"},{"issue":"2","key":"2021072112310619100_ref2","doi-asserted-by":"crossref","first-page":"R171","DOI":"10.1093\/hmg\/ddi335","article-title":"Interactome: gateway into systems biology","volume":"14","author":"Cusick","year":"2005","journal-title":"Hum Mol Genet"},{"issue":"5","key":"2021072112310619100_ref3","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1016\/j.meegid.2011.10.027","article-title":"Using the underlying biological organization of the mycobacterium tuberculosis functional network for protein function prediction","volume":"12","author":"Mazandu","year":"2011","journal-title":"Infect Genet Evol"},{"issue":"4","key":"2021072112310619100_ref4","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1016\/j.meegid.2011.04.012","article-title":"Contribution of microarray data to the advancement of knowledge on the mycobacterium tuberculosis interactome: use of the random partial least squares approach","volume":"11","author":"Mazandu","year":"2011","journal-title":"Infect Genet Evol"},{"key":"2021072112310619100_ref5","first-page":"3","volume-title":"Artificial Intelligence - Applications in Medicine and Biology","author":"Mazandu","year":"2019"},{"issue":"2","key":"2021072112310619100_ref6","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1093\/bib\/bbz017","article-title":"Network-based methods for predicting essential genes or proteins: a survey","volume":"21","author":"Li","year":"2020","journal-title":"Brief Bioinform"},{"issue":"5","key":"2021072112310619100_ref7","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1093\/bib\/bbz085","article-title":"A comprehensive review and evaluation of computational methods for identifying protein complexes from protein-protein interaction networks","volume":"21","author":"Wu","year":"2020","journal-title":"Brief Bioinform"},{"key":"2021072112310619100_ref8","doi-asserted-by":"crossref","first-page":"777","DOI":"10.15252\/embr.201540179","article-title":"The case of the gene: Postgenomics between modernity and postmodernity","volume":"16","author":"Perbal","year":"2015","journal-title":"EMBO Rep"},{"key":"2021072112310619100_ref9","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1073\/pnas.27.11.499","article-title":"Genetic control of biochemical reactions in Neurospora","volume":"27","author":"Beadle","year":"1941","journal-title":"Proc Natl Acad Sci"},{"key":"2021072112310619100_ref10","doi-asserted-by":"crossref","first-page":"39","DOI":"10.3389\/fgene.2016.00039","article-title":"A quantitative approach to analyzing genome reductive evolution using protein\u2013protein interaction networks: a case study of mycobacterium leprae","volume":"7","author":"Akinola","year":"2016","journal-title":"Front Genet"},{"issue":"18","key":"2021072112310619100_ref11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.csbj.2014.08.006","article-title":"Using biological networks to improve our understanding of infectious diseases","volume":"11","author":"Mulder","year":"2014","journal-title":"Comput Struct Biotechnol J"},{"issue":"7","key":"2021072112310619100_ref12","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0067472","article-title":"Predicting and analyzing interactions between mycobacterium tuberculosis and its human host","volume":"8","author":"Rapanoel","year":"2013","journal-title":"PLoS One"},{"issue":"6","key":"2021072112310619100_ref13","doi-asserted-by":"crossref","first-page":"7283","DOI":"10.3390\/ijms13067283","article-title":"Function prediction and analysis of mycobacterium tuberculosis hypothetical proteins","volume":"13","author":"Mazandu","year":"2012","journal-title":"Int J Mol Sci"},{"key":"2021072112310619100_ref14","doi-asserted-by":"crossref","DOI":"10.1155\/2011\/801478","article-title":"Generation and analysis of large-scale data-driven mycobacterium tuberculosis functional networks for drug target identification","volume":"2011","author":"Mazandu","year":"2011","journal-title":"Advances in Bioinformatics"},{"issue":"2","key":"2021072112310619100_ref15","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1093\/bib\/bby035","article-title":"Post genome-wide association analysis: dissecting computational pathway\/network-based approaches","volume":"20","author":"Chimusa","year":"2019","journal-title":"Brief Bioinform"},{"key":"2021072112310619100_ref16","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1016\/j.cell.2005.08.029","article-title":"A human protein-protein interaction network: a resource for annotating the proteome","volume":"122","author":"Stelzl","year":"2005","journal-title":"Cell"},{"issue":"1","key":"2021072112310619100_ref17","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1038\/nmeth.1284","article-title":"Literature-curated protein interaction datasets","volume":"6","author":"Cusick","year":"2009","journal-title":"Nat Methods"},{"issue":"2","key":"2021072112310619100_ref18","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0004554","article-title":"PPI finder: a mining tool for human protein-protein interactions","volume":"4","author":"He","year":"2009","journal-title":"PLoS One"},{"issue":"4","key":"2021072112310619100_ref19","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0018607","article-title":"Scoring protein relationships in functional interaction networks predicted from sequence data","volume":"6","author":"Mazandu","year":"2011","journal-title":"PLoS One"},{"issue":"D1","key":"2021072112310619100_ref20","doi-asserted-by":"crossref","first-page":"D607","DOI":"10.1093\/nar\/gky1131","article-title":"STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets","volume":"47","author":"Szklarczyk","year":"2019","journal-title":"Nucleic Acids Res"},{"issue":"D1","key":"2021072112310619100_ref21","doi-asserted-by":"crossref","first-page":"D358","DOI":"10.1093\/nar\/gkt1115","article-title":"The MIntAct project\u2013IntAct as a common curation platform for 11 molecular interaction databases","volume":"42","author":"Orchard","year":"2014","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref22","doi-asserted-by":"crossref","first-page":"D857","DOI":"10.1093\/nar\/gkr930","article-title":"MINT, the molecular interaction database: 2012 update","volume":"40","author":"Licata","year":"2012","journal-title":"Nucleic Acids Res"},{"issue":"D1","key":"2021072112310619100_ref23","doi-asserted-by":"crossref","first-page":"D529","DOI":"10.1093\/nar\/gky1079","article-title":"The BioGRID interaction database: 2019 update","volume":"47","author":"Oughtred","year":"2019","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref24","doi-asserted-by":"crossref","first-page":"D449","DOI":"10.1093\/nar\/gkh086","article-title":"The database of interacting proteins: 2004 update","volume":"32","author":"Salwinski","year":"2004","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref25","doi-asserted-by":"crossref","first-page":"D767","DOI":"10.1093\/nar\/gkn892","article-title":"Human protein reference database\u20132009 update","volume":"37","author":"Keshava","year":"2009","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref26","doi-asserted-by":"crossref","first-page":"D220","DOI":"10.1093\/nar\/gkq1157","article-title":"MIPS: curated databases and comprehensive secondary data resources in 2010","volume":"39","author":"Mewes","year":"2006","journal-title":"Nucleic Acids Res"},{"issue":"4","key":"2021072112310619100_ref27","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1038\/nmeth.1931","article-title":"Protein interaction data curation: the international molecular exchange (IMEx) consortium","volume":"9","author":"Orchard","year":"2012","journal-title":"Nat Methods"},{"key":"2021072112310619100_ref28","doi-asserted-by":"crossref","first-page":"bar036","DOI":"10.1093\/database\/bar036","article-title":"ppiTrim: constructing non-redundant and up-to-date interactomes","volume":"2011","author":"Stojmirovi\u0107","year":"2011","journal-title":"Database"},{"issue":"10","key":"2021072112310619100_ref29","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1006474","article-title":"Genomic data integration systematically biases interactome mapping","volume":"14","author":"Skinnider","year":"2018","journal-title":"PLoS Comput Biol"},{"issue":"6","key":"2021072112310619100_ref30","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1000807","article-title":"Protein-protein interactions essentials: key concepts to building and analyzing interactome networks","volume":"6","author":"De Las Rivas","year":"2010","journal-title":"PLoS Comput Biol"},{"issue":"1","key":"2021072112310619100_ref31","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1038\/nmeth.4083","article-title":"A scored human protein-protein interaction network to catalyze genomic interpretation","volume":"14","author":"Li","year":"2017","journal-title":"Nat Methods"},{"issue":"1","key":"2021072112310619100_ref32","first-page":"15","article-title":"Protein-protein interaction databases: an overall view on interactome organization. International journal of analytical, pharmaceutical and biomedical","volume":"4","author":"Safari-Alighiarloo","year":"2015","journal-title":"Sciences"},{"key":"2021072112310619100_ref33","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1038\/nmeth.1637","article-title":"PSICQUIC and PSISCORE: accessing and scoring molecular interactions","volume":"8","author":"Aranda","year":"2011","journal-title":"Nat Methods"},{"issue":"Web Server issue","key":"2021072112310619100_ref34","doi-asserted-by":"crossref","first-page":"W601","DOI":"10.1093\/nar\/gkt392","article-title":"New reference implementation of the PSICQUIC web service","volume":"41","author":"del-Toro","year":"2013","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref35","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1038\/nbt1324","article-title":"The minimum information required for reporting a molecular interaction experiment (MIMIx)","volume":"25","author":"Orchard","year":"2007","journal-title":"Nat Biotechnol"},{"issue":"10","key":"2021072112310619100_ref36","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0186039","article-title":"PICKLE 2.0: a human protein-protein interaction meta-database employing data integration via genetic information ontology","volume":"12","author":"Gioutlakis","year":"2017","journal-title":"PLoS One"},{"issue":"D1","key":"2021072112310619100_ref37","doi-asserted-by":"crossref","first-page":"D567","DOI":"10.1093\/nar\/gkx1116","article-title":"Molecular interaction search tool (MIST): an integrated resource for mining gene and protein interaction data","volume":"46","author":"Hu","year":"2018","journal-title":"Nucleic Acids Res"},{"volume-title":"Python Language Reference, version 2.7","author":"Python Software Foundation","key":"2021072112310619100_ref38"},{"key":"2021072112310619100_ref39","doi-asserted-by":"crossref","first-page":"D651","DOI":"10.1093\/nar\/gkn870","article-title":"PIPs: human protein-protein interactions prediction database","volume":"37","author":"McDowall","year":"2009","journal-title":"Nucleic Acids Res"},{"issue":"17","key":"2021072112310619100_ref40","doi-asserted-by":"crossref","first-page":"3273","DOI":"10.1093\/bioinformatics\/bth366","article-title":"POINT: a database for the prediction of protein-protein interactions based on the orthologous interactome","volume":"20","author":"Huang","year":"2004","journal-title":"Bioinformatics"},{"issue":"1","key":"2021072112310619100_ref41","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1186\/1752-0509-6-92","article-title":"HINT: high-quality protein interactomes and their applications in understanding human disease","volume":"6","author":"Das","year":"2012","journal-title":"BMC Syst Biol"},{"key":"2021072112310619100_ref42","doi-asserted-by":"crossref","first-page":"D408","DOI":"10.1093\/nar\/gkw985","article-title":"HIPPIE v2.0: enhancing meaningfulness and reliability of protein-protein interaction networks","volume":"45","author":"Alanis-Lobato","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref43","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":"2021072112310619100_ref44","doi-asserted-by":"crossref","first-page":"baz005","DOI":"10.1093\/database\/baz005","article-title":"APID database: redefining protein\u2013protein interaction experimental evidences and binary interactomes","volume":"2019","author":"Alonso-L\u00f3pez","year":"2019","journal-title":"Database"},{"key":"2021072112310619100_ref45","doi-asserted-by":"crossref","first-page":"D862","DOI":"10.1093\/nar\/gkr967","article-title":"PINA v2.0: mining interactome modules","volume":"40","author":"Cowley","year":"2012","journal-title":"Nucleic Acids Res"},{"issue":"6","key":"2021072112310619100_ref46","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0100385","article-title":"IIS \u2013 integrated interactome system: a web-based platform for the annotation, analysis and visualization of protein-metabolite-gene-drug interactions by integrating a variety of data sources and tools","volume":"9","author":"Carazzolle","year":"2014","journal-title":"PLoS One"},{"key":"2021072112310619100_ref47","doi-asserted-by":"crossref","first-page":"D408","DOI":"10.1093\/nar\/gkt1100","article-title":"UniHI 7: an enhanced database for retrieval and interactive analysis of human molecular interaction networks","volume":"42","author":"Kalathur","year":"2014","journal-title":"Nucleic Acids Res"},{"issue":"suppl 1","key":"2021072112310619100_ref48","doi-asserted-by":"crossref","first-page":"D504","DOI":"10.1093\/nar\/gkj126","article-title":"Pathguide: a pathway resource list","volume":"34","author":"Bader","year":"2006","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref49","doi-asserted-by":"crossref","first-page":"D351","DOI":"10.1093\/nar\/gky1100","article-title":"InterPro in 2019: improving coverage, classification and access to protein sequence annotations","volume":"47","author":"Mitchell","year":"2019","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref50","doi-asserted-by":"crossref","first-page":"D506","DOI":"10.1093\/nar\/gky1049","article-title":"UniProt: a worldwide hub of protein knowledge","volume":"47","author":"UniProt Consortium","year":"2019","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref51","doi-asserted-by":"crossref","first-page":"397","DOI":"10.2174\/1389202911314060004","article-title":"Computational prediction of protein-protein interaction networks: algorithms and resources","volume":"14","author":"Zahiri","year":"2013","journal-title":"Curr Genomics"},{"key":"2021072112310619100_ref52","first-page":"1","volume-title":"Power Laws, Scale-Free Networks and Genome Biology (Molecular Biology Intelligence Unit)","author":"Almaas","year":"2006"},{"key":"2021072112310619100_ref53","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1038\/35075138","article-title":"Lethality and centrality in protein networks","volume":"411","author":"Jeong","year":"2001","journal-title":"Nature"},{"key":"2021072112310619100_ref54","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1038\/35036627","article-title":"The large-scale organization of metabolic networks","volume":"407","author":"Jeong","year":"2000","journal-title":"Nature"},{"issue":"Database issue","key":"2021072112310619100_ref55","doi-asserted-by":"crossref","first-page":"D220","DOI":"10.1093\/nar\/gkq1157","article-title":"MIPS: curated databases and comprehensive secondary data resources in 2010","volume":"39","author":"Mewes","year":"2011","journal-title":"Nucleic Acids Res"},{"key":"2021072112310619100_ref56","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1186\/s13059-019-1758-4","article-title":"Cytoscape automation: empowering workflow-based network analysis","volume":"20","author":"Otasek","year":"2019","journal-title":"Genome Biol"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/bib\/article-pdf\/22\/4\/bbaa277\/39129389\/bbaa277.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/academic.oup.com\/bib\/article-pdf\/22\/4\/bbaa277\/39129389\/bbaa277.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T12:35:50Z","timestamp":1626870950000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbaa277\/5943797"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,31]]},"references-count":56,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,7,20]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbaa277","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"type":"print","value":"1467-5463"},{"type":"electronic","value":"1477-4054"}],"subject":[],"published-other":{"date-parts":[[2021,7]]},"published":{"date-parts":[[2020,10,31]]},"article-number":"bbaa277"}}