{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T03:20:58Z","timestamp":1778210458576,"version":"3.51.4"},"reference-count":41,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T00:00:00Z","timestamp":1701820800000},"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":["61972451"],"award-info":[{"award-number":["61972451"]}],"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":["62272288"],"award-info":[{"award-number":["62272288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012476","name":"Fundamental Research Funds for Central Universities of the Central South University","doi-asserted-by":"publisher","award":["GK202103091"],"award-info":[{"award-number":["GK202103091"]}],"id":[{"id":"10.13039\/501100012476","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["GK202302006"],"award-info":[{"award-number":["GK202302006"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>RNA modification is a post transcriptional modification that occurs in all organisms and plays a crucial role in the stages of RNA life, closely related to many life processes. As one of the newly discovered modifications, N1-methyladenosine (m<jats:sup>1<\/jats:sup>A) plays an important role in gene expression regulation, closely related to the occurrence and development of diseases. However, due to the low abundance of m<jats:sup>1<\/jats:sup>A, verifying the associations between m<jats:sup>1<\/jats:sup>As and diseases through wet experiments requires a great quantity of manpower and resources. In this study, we proposed a computational method for predicting the associations of<jats:bold>R<\/jats:bold>NA<jats:bold>m<\/jats:bold>ethylation and<jats:bold>d<\/jats:bold>isease based on<jats:bold>g<\/jats:bold>raph<jats:bold>c<\/jats:bold>onvolutional<jats:bold>n<\/jats:bold>etwork (RMDGCN) with attention mechanism. We build an adjacency matrix through the collected m<jats:sup>1<\/jats:sup>As and diseases associations, and use positive-unlabeled learning to increase the number of positive samples. By extracting the features of m<jats:sup>1<\/jats:sup>As and diseases, a heterogeneous network is constructed, and a GCN with attention mechanism is adopted to predict the associations between m<jats:sup>1<\/jats:sup>As and diseases. The experimental results indicate that under a 5-fold cross validation, RMDGCN is superior to other methods (AUC = 0.9892 and AUPR = 0.8682). In addition, case studies indicate that RMDGCN can predict the relationships between unknown m<jats:sup>1<\/jats:sup>As and diseases. In summary, RMDGCN is an effective method for predicting the associations between m<jats:sup>1<\/jats:sup>As and diseases.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1011677","type":"journal-article","created":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T18:29:06Z","timestamp":1701887346000},"page":"e1011677","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":10,"title":["RMDGCN: Prediction of RNA methylation and disease associations based on graph convolutional network with attention 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