{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T11:26:56Z","timestamp":1790162816497,"version":"4.1.0"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1011851","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T00:00:00Z","timestamp":1707436800000}}],"reference-count":55,"publisher":"Public Library of Science (PLoS)","issue":"1","license":[{"start":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T00:00:00Z","timestamp":1706572800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62231013"],"award-info":[{"award-number":["62231013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302341"],"award-info":[{"award-number":["62302341"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62301369"],"award-info":[{"award-number":["62301369"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62131004"],"award-info":[{"award-number":["62131004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62250028"],"award-info":[{"award-number":["62250028"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012165","name":"Key Technologies Research and Development Program","doi-asserted-by":"publisher","award":["2022ZD0117700"],"award-info":[{"award-number":["2022ZD0117700"]}],"id":[{"id":"10.13039\/501100012165","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Municipal Government of Quzhou","award":["2023D036"],"award-info":[{"award-number":["2023D036"]}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>The unique expression patterns of circRNAs linked to the advancement and prognosis of cancer underscore their considerable potential as valuable biomarkers. Repurposing existing drugs for new indications can significantly reduce the cost of cancer treatment. Computational prediction of circRNA-cancer and drug-cancer relationships is crucial for precise cancer therapy. However, prior computational methods fail to analyze the interaction between circRNAs, drugs, and cancer at the systematic level. It is essential to propose a method that uncover more valuable information for achieving cancer-centered multi-association prediction. In this paper, we present a novel computational method, AutoEdge-CCP, to unveil cancer-associated circRNAs and drugs. We abstract the complex relationships between circRNAs, drugs, and cancer into a multi-source heterogeneous network. In this network, each molecule is represented by two types information, one is the intrinsic attribute information of molecular features, and the other is the link information explicitly modeled by autoGNN, which searches information from both intra-layer and inter-layer of message passing neural network. The significant performance on multi-scenario applications and case studies establishes AutoEdge-CCP as a potent and promising association prediction tool.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1011851","type":"journal-article","created":{"date-parts":[[2024,1,30]],"date-time":"2024-01-30T18:34:01Z","timestamp":1706639641000},"page":"e1011851","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":21,"title":["AutoEdge-CCP: A novel approach for predicting cancer-associated circRNAs and drugs based on automated edge embedding"],"prefix":"10.1371","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0204-2725","authenticated-orcid":true,"given":"Yaojia","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiacheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6406-1142","authenticated-orcid":true,"given":"Quan","family":"Zou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2024,1,30]]},"reference":[{"issue":"1","key":"pcbi.1011851.ref001","doi-asserted-by":"crossref","first-page":"2669","DOI":"10.1038\/s41467-022-30342-3","article-title":"Proteogenomic characterization of 2002 human cancers reveals pan-cancer molecular subtypes and associated pathways","volume":"13","author":"Y Zhang","year":"2022","journal-title":"Nature Communications"},{"issue":"6","key":"pcbi.1011851.ref002","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1016\/j.cell.2015.02.014","article-title":"The RNA Binding Protein Quaking Regulates Formation of circRNAs","volume":"160","author":"J Conn Simon","year":"2015","journal-title":"Cell"},{"issue":"9","key":"pcbi.1011851.ref003","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1038\/s41419-022-05246-1","article-title":"CircSEMA4B inhibits the progression of breast cancer by encoding a novel protein SEMA4B-211aa and regulating AKT phosphorylation.","volume":"13","author":"X Wang","year":"2022","journal-title":"Cell Death & Disease."},{"issue":"1","key":"pcbi.1011851.ref004","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1186\/s12943-022-01615-8","article-title":"CircBCAR3 accelerates esophageal cancer tumorigenesis and metastasis via sponging miR-27a-3p.","volume":"21","author":"Y Xi","year":"2022","journal-title":"Molecular Cancer."},{"issue":"1","key":"pcbi.1011851.ref005","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1186\/s12943-019-1069-0","article-title":"Biogenesis, functions and clinical significance of circRNAs in gastric cancer","volume":"18","author":"C Shan","year":"2019","journal-title":"Molecular Cancer"},{"issue":"1","key":"pcbi.1011851.ref006","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1186\/s12957-018-1515-2","article-title":"Progress in research on the role of circular RNAs in lung cancer","volume":"16","author":"Y Chen","year":"2018","journal-title":"World Journal of Surgical Oncology"},{"issue":"5","key":"pcbi.1011851.ref007","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1038\/nrd1382","article-title":"Key factors in the rising cost of new drug discovery and development","volume":"3","author":"M Dickson","year":"2004","journal-title":"Nature Reviews Drug Discovery"},{"issue":"1","key":"pcbi.1011851.ref008","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1038\/nrd.2018.168","article-title":"Drug repurposing: progress, challenges and recommendations.","volume":"18","author":"S Pushpakom","year":"2019","journal-title":"Nature Reviews Drug Discovery."},{"issue":"3","key":"pcbi.1011851.ref009","doi-asserted-by":"crossref","first-page":"c125","DOI":"10.1159\/000232592","article-title":"Drug Development: From Concept to Marketing!","volume":"113","author":"NAM Tamimi","year":"2009","journal-title":"Nephron Clinical Practice."},{"issue":"2","key":"pcbi.1011851.ref010","doi-asserted-by":"crossref","first-page":"153","DOI":"10.4103\/0022-3859.81870","article-title":"Drug repositioning: Re-investigating existing drugs for new therapeutic indications","volume":"57","author":"B Padhy","year":"2011","journal-title":"Journal of Postgraduate Medicine"},{"issue":"5","key":"pcbi.1011851.ref011","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1093\/bib\/bbx017","article-title":"A review of network-based approaches to drug repositioning","volume":"19","author":"M Lotfi Shahreza","year":"2018","journal-title":"Briefings in Bioinformatics"},{"issue":"4","key":"pcbi.1011851.ref012","doi-asserted-by":"crossref","first-page":"e1597","DOI":"10.1002\/wcms.1597","article-title":"Deep learning for drug repurposing: Methods, databases, and applications","volume":"12","author":"X Pan","year":"2022","journal-title":"WIREs Computational Molecular Science"},{"issue":"12","key":"pcbi.1011851.ref013","doi-asserted-by":"crossref","first-page":"100794","DOI":"10.1016\/j.xcrm.2022.100794","article-title":"Deep generative molecular design reshapes drug discovery","volume":"3","author":"X Zeng","year":"2022","journal-title":"Cell Reports Medicine"},{"issue":"14","key":"pcbi.1011851.ref014","doi-asserted-by":"crossref","first-page":"1950","DOI":"10.7150\/ijbs.28260","article-title":"Prediction of CircRNA-Disease Associations Using KATZ Model Based on Heterogeneous Networks","volume":"14","author":"C Fan","year":"2018","journal-title":"International Journal of Biological Sciences"},{"key":"pcbi.1011851.ref015","doi-asserted-by":"crossref","first-page":"83474","DOI":"10.1109\/ACCESS.2019.2920942","article-title":"Predicting CircRNA-Disease Associations Through Linear Neighborhood Label Propagation Method.","volume":"7","author":"W Zhang","year":"2019","journal-title":"IEEE Access."},{"key":"pcbi.1011851.ref016","first-page":"929","volume-title":"Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining; Vancouver, British Columbia","author":"H Vural","year":"2020"},{"issue":"14","key":"pcbi.1011851.ref017","doi-asserted-by":"crossref","first-page":"I455","DOI":"10.1093\/bioinformatics\/btz331","article-title":"Drug repositioning based on bounded nuclear norm regularization","volume":"35","author":"M Yang","year":"2019","journal-title":"Bioinformatics"},{"issue":"6","key":"pcbi.1011851.ref018","doi-asserted-by":"crossref","first-page":"997","DOI":"10.1039\/D1MO00237F","article-title":"BGMSDDA: a bipartite graph diffusion algorithm with multiple similarity integration for drug\u2013disease association prediction","volume":"17","author":"G Xie","year":"2021","journal-title":"Molecular Omics"},{"issue":"8","key":"pcbi.1011851.ref019","doi-asserted-by":"crossref","first-page":"2246","DOI":"10.1093\/bioinformatics\/btac079","article-title":"GMNN2CD: identification of circRNA\u2013disease associations based on variational inference and graph Markov neural networks","volume":"38","author":"M Niu","year":"2022","journal-title":"Bioinformatics"},{"issue":"3","key":"pcbi.1011851.ref020","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1109\/JBHI.2020.2999638","article-title":"Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations.","volume":"25","author":"C Lu","year":"2021","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"issue":"5","key":"pcbi.1011851.ref021","doi-asserted-by":"crossref","first-page":"1369","DOI":"10.1093\/bioinformatics\/btab826","article-title":"A network-based drug repurposing method via non-negative matrix factorization","volume":"38","author":"S Sadeghi","year":"2022","journal-title":"Bioinformatics"},{"issue":"4","key":"pcbi.1011851.ref022","doi-asserted-by":"crossref","first-page":"bbaa243","DOI":"10.1093\/bib\/bbaa243","article-title":"Predicting drug\u2013disease associations through layer attention graph convolutional network","volume":"22","author":"Z Yu","year":"2021","journal-title":"Briefings in Bioinformatics"},{"key":"pcbi.1011851.ref023","doi-asserted-by":"crossref","first-page":"50581","DOI":"10.1109\/ACCESS.2019.2907522","article-title":"Drug-Disease Association Prediction Based on Neighborhood Information Aggregation in Neural Networks.","volume":"7","author":"Y Wang","year":"2019","journal-title":"IEEE Access."},{"issue":"1","key":"pcbi.1011851.ref024","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1186\/s12859-022-04694-y","article-title":"Predicting circRNA-drug sensitivity associations via graph attention auto-encoder","volume":"23","author":"L Deng","year":"2022","journal-title":"BMC Bioinformatics"},{"key":"pcbi.1011851.ref025","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1145\/2623330.2623732","volume-title":"Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","author":"B Perozzi","year":"2014"},{"key":"pcbi.1011851.ref026","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1145\/2939672.2939754","volume-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"A Grover","year":"2016"},{"key":"pcbi.1011851.ref027","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1145\/2736277.2741093","volume-title":"Proceedings of the 24th International Conference on World Wide Web; Florence","author":"J Tang","year":"2015"},{"key":"pcbi.1011851.ref028","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1145\/2939672.2939753","volume-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"D Wang","year":"2016"},{"issue":"2","key":"pcbi.1011851.ref029","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.bbrc.2019.06.044","article-title":"CircRAD23B facilitates proliferation and invasion of esophageal cancer cells by sponging miR-5095","volume":"516","author":"X Lan","year":"2019","journal-title":"Biochemical and Biophysical Research Communications"},{"issue":"2","key":"pcbi.1011851.ref030","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1007\/s10620-021-06859-w","article-title":"Knockdown of circRAD23B Exerts Antitumor Response in Colorectal Cancer via the Regulation of miR-1205\/TRIM44 axis","volume":"67","author":"B Han","year":"2022","journal-title":"Digestive Diseases and Sciences"},{"issue":"5","key":"pcbi.1011851.ref031","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1111\/1759-7714.14319","article-title":"Knockdown of circ-RAD23B inhibits non-small cell lung cancer progression via the miR-142-3p\/MAP4K3 axis.","volume":"13","author":"Q Zhuang","year":"2022","journal-title":"Thoracic Cancer."},{"issue":"7","key":"pcbi.1011851.ref032","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1111\/j.1349-7006.2011.01944.x","article-title":"Antitumor activity of NVP-AUY922, a novel heat shock protein 90 inhibitor, in human gastric cancer cells is mediated through proteasomal degradation of client proteins","volume":"102","author":"K-H Lee","year":"2011","journal-title":"Cancer Science"},{"issue":"2","key":"pcbi.1011851.ref033","doi-asserted-by":"crossref","first-page":"R33","DOI":"10.1186\/bcr1996","article-title":"NVP-AUY922: a small molecule HSP90 inhibitor with potent antitumor activity in preclinical breast cancer models","volume":"10","author":"MR Jensen","year":"2008","journal-title":"Breast Cancer Research"},{"issue":"6","key":"pcbi.1011851.ref034","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1158\/1535-7163.MCT-12-0998","article-title":"The HSP90 Inhibitor NVP-AUY922 Potently Inhibits Non\u2013Small Cell Lung Cancer Growth","volume":"12","author":"EB Garon","year":"2013","journal-title":"Molecular Cancer Therapeutics"},{"issue":"2","key":"pcbi.1011851.ref035","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.cellsig.2014.11.013","article-title":"HSP90 inhibitor NVP-AUY922 enhances TRAIL-induced apoptosis by suppressing the JAK2-STAT3-Mcl-1 signal transduction pathway in colorectal cancer cells","volume":"27","author":"D-H Lee","year":"2015","journal-title":"Cellular Signalling"},{"issue":"9","key":"pcbi.1011851.ref036","first-page":"1557","article-title":"A dominant negative mutation of transforming growth factor- \u03b2 receptor type II gene in microsatellite stable oesophageal carcinoma","volume":"82","author":"S Tanaka","year":"2000","journal-title":"British Journal of Cancer"},{"issue":"9","key":"pcbi.1011851.ref037","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1038\/ng.3356","article-title":"Genomic landscape of cutaneous T cell lymphoma","volume":"47","author":"J Choi","year":"2015","journal-title":"Nature Genetics"},{"issue":"3","key":"pcbi.1011851.ref038","article-title":"Platelet 12-lipoxygenase Arg261Gln polymorphism: functional characterization and association with risk of esophageal squamous cell carcinoma in combination with COX-2 polymorphisms.","volume":"17","author":"Y Guo","year":"2007","journal-title":"Pharmacogenetics and Genomics."},{"issue":"1","key":"pcbi.1011851.ref039","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1093\/nar\/28.1.235","article-title":"The Protein Data Bank","volume":"28","author":"HM Berman","year":"2000","journal-title":"Nucleic Acids Research"},{"issue":"5797","key":"pcbi.1011851.ref040","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1126\/science.1133427","article-title":"The Consensus Coding Sequences of Human Breast and Colorectal Cancers","volume":"314","author":"T Sj\u00f6blom","year":"2006","journal-title":"Science"},{"issue":"5307","key":"pcbi.1011851.ref041","doi-asserted-by":"crossref","first-page":"1787","DOI":"10.1126\/science.275.5307.1787","article-title":"Activation of \u03b2-Catenin-Tcf Signaling in Colon Cancer by Mutations in \u03b2-Catenin or APC","volume":"275","author":"PJ Morin","year":"1997","journal-title":"Science"},{"issue":"5","key":"pcbi.1011851.ref042","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1007\/s004399900160","article-title":"Missense mutations in hMLH1 associated with colorectal cancer","volume":"105","author":"T Liu","year":"1999","journal-title":"Human Genetics"},{"issue":"1","key":"pcbi.1011851.ref043","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1038\/s41467-017-00680-8","article-title":"A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information","volume":"8","author":"Y Luo","year":"2017","journal-title":"Nature Communications"},{"issue":"10","key":"pcbi.1011851.ref044","doi-asserted-by":"crossref","first-page":"e1010671","DOI":"10.1371\/journal.pcbi.1010671","article-title":"iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network","volume":"18","author":"J Hou","year":"2022","journal-title":"PLOS Computational Biology"},{"issue":"11","key":"pcbi.1011851.ref045","doi-asserted-by":"crossref","first-page":"e1011597","DOI":"10.1371\/journal.pcbi.1011597","article-title":"A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks","volume":"19","author":"S Jin","year":"2023","journal-title":"PLOS Computational Biology"},{"issue":"NEURIPS 2021","key":"pcbi.1011851.ref046","article-title":"AutoGEL: An Automated Graph Neural Network with Explicit Link Information","volume":"34","author":"ZL Wang","year":"2021","journal-title":"ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS"},{"key":"pcbi.1011851.ref047","doi-asserted-by":"crossref","first-page":"1029307","DOI":"10.3389\/fdata.2022.1029307","article-title":"Auto-GNN: Neural architecture search of graph neural networks.","volume":"5","author":"K Zhou","year":"2022","journal-title":"Frontiers in Big Data"},{"key":"pcbi.1011851.ref048","article-title":"DeepGCNs: Can GCNs Go As Deep As CNNs?","author":"G Li","year":"2019","journal-title":"2019 IEEE\/CVF International Conference on Computer Vision (ICCV); 2019 27 Oct.-"},{"key":"pcbi.1011851.ref049","first-page":"3538","article-title":"Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning.","author":"QM Li","journal-title":"THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE \/ THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE \/ EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE2018."},{"key":"pcbi.1011851.ref050","article-title":"SNAS: stochastic neural architecture search","author":"S Xie","year":"2018","journal-title":"arXiv preprint arXiv:181209926."},{"issue":"10","key":"pcbi.1011851.ref051","doi-asserted-by":"crossref","first-page":"1854","DOI":"10.1587\/transinf.E94.D.1854","article-title":"A Short Introduction to Learning to Rank","volume":"E94.D","author":"H. Li","year":"2011","journal-title":"IEICE Transactions on Information and Systems"},{"issue":"4","key":"pcbi.1011851.ref052","doi-asserted-by":"crossref","first-page":"bbac224","DOI":"10.1093\/bib\/bbac224","article-title":"idenMD-NRF: a ranking framework for miRNA-disease association identification","volume":"23","author":"W Zhang","year":"2022","journal-title":"Briefings in Bioinformatics"},{"issue":"7","key":"pcbi.1011851.ref053","doi-asserted-by":"crossref","first-page":"1964","DOI":"10.1093\/bioinformatics\/btac048","article-title":"NerLTR-DTA: drug\u2013target binding affinity prediction based on neighbor relationship and learning to rank","volume":"38","author":"X Ru","year":"2022","journal-title":"Bioinformatics"},{"issue":"14","key":"pcbi.1011851.ref054","doi-asserted-by":"crossref","first-page":"2465","DOI":"10.1093\/bioinformatics\/bty130","article-title":"GOLabeler: improving sequence-based large-scale protein function prediction by learning to rank","volume":"34","author":"R You","year":"2018","journal-title":"Bioinformatics"},{"issue":"7","key":"pcbi.1011851.ref055","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1093\/bioinformatics\/btaa772","article-title":"SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection","volume":"37","author":"X Jin","year":"2021","journal-title":"Bioinformatics"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1011851","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T00:00:00Z","timestamp":1707436800000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1011851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T18:37:29Z","timestamp":1707503849000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1011851"}},"subtitle":[],"editor":[{"given":"Renzhi","family":"Cao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2024,1,30]]},"references-count":55,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,1,30]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1011851","relation":{"new_version":[{"id-type":"doi","id":"10.1371\/journal.pcbi.1011851","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,30]]}}}