{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T01:59:00Z","timestamp":1775613540015,"version":"3.50.1"},"reference-count":39,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2023,12,9]],"date-time":"2023-12-09T00:00:00Z","timestamp":1702080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62225209"],"award-info":[{"award-number":["62225209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Drug repositioning is an effective strategy to identify new indications for existing drugs, providing the quickest possible transition from bench to bedside. With the rapid development of deep learning, graph convolutional networks (GCNs) have been widely adopted for drug repositioning tasks. However, prior GCNs based methods exist limitations in deeply integrating node features and topological structures, which may hinder the capability of GCNs.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In this study, we propose an adaptive GCNs approach, termed AdaDR, for drug repositioning by deeply integrating node features and topological structures. Distinct from conventional graph convolution networks, AdaDR models interactive information between them with adaptive graph convolution operation, which enhances the expression of model. Concretely, AdaDR simultaneously extracts embeddings from node features and topological structures and then uses the attention mechanism to learn adaptive importance weights of the embeddings. Experimental results show that AdaDR achieves better performance than multiple baselines for drug repositioning. Moreover, in the case study, exploratory analyses are offered for finding novel drug\u2013disease associations.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>The soure code of AdaDR\u00a0is available at: https:\/\/github.com\/xinliangSun\/AdaDR.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad748","type":"journal-article","created":{"date-parts":[[2023,12,8]],"date-time":"2023-12-08T18:13:15Z","timestamp":1702059195000},"source":"Crossref","is-referenced-by-count":53,"title":["Drug repositioning with adaptive graph convolutional networks"],"prefix":"10.1093","volume":"40","author":[{"given":"Xinliang","family":"Sun","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Central South University , Changsha, Hunan 410083, China"}]},{"given":"Xiao","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University , Changsha, Hunan 410083, China"}]},{"given":"Zhangli","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University , Changsha, Hunan 410083, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7480-7710","authenticated-orcid":false,"given":"Jing","family":"Tang","sequence":"additional","affiliation":[{"name":"Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki , FI00014 Helsinki, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0188-1394","authenticated-orcid":false,"given":"Min","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University , Changsha, Hunan 410083, 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