{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T23:58:29Z","timestamp":1778975909374,"version":"3.51.4"},"reference-count":63,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2022,12,29]],"date-time":"2022-12-29T00:00:00Z","timestamp":1672272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Science & ICT","award":["2022M3A9B6017511"],"award-info":[{"award-number":["2022M3A9B6017511"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>Adverse drug reactions (ADRs) are a major issue in drug development and clinical pharmacology. As most ADRs are caused by unintended activity at off-targets of drugs, the identification of drug targets responsible for ADRs becomes a key process for resolving ADRs. Recently, with the increase in the number of ADR-related data sources, several computational methodologies have been proposed to analyze ADR\u2013protein relations. However, the identification of ADR-related proteins on a large scale with high reliability remains an important challenge.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In this article, we suggest a computational approach, Large-scale ADR-related Proteins Identification with Network Embedding (LAPINE). LAPINE combines a novel concept called single-target compound with a network embedding technique to enable large-scale prediction of ADR-related proteins for any proteins in the protein\u2013protein interaction network. Analysis of benchmark datasets confirms the need to expand the scope of potential ADR-related proteins to be analyzed, as well as LAPINE\u2019s capability for high recovery of known ADR-related proteins. Moreover, LAPINE provides more reliable predictions for ADR-related proteins (Value-added positive predictive value\u2009=\u20090.12), compared to a previously proposed method (P &amp;lt; 0.001). Furthermore, two case studies show that most predictive proteins related to ADRs in LAPINE are supported by literature evidence. Overall, LAPINE can provide reliable insights into the relationship between ADRs and proteomes to understand the mechanism of ADRs leading to their prevention.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>The source code is available at GitHub (https:\/\/github.com\/rupinas\/LAPINE) and Figshare (https:\/\/figshare.com\/articles\/software\/LAPINE\/21750245) to facilitate its use.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btac843","type":"journal-article","created":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T14:58:56Z","timestamp":1672239536000},"source":"Crossref","is-referenced-by-count":10,"title":["Large-scale prediction of adverse drug reactions-related proteins with network embedding"],"prefix":"10.1093","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4905-5980","authenticated-orcid":false,"given":"Jaesub","family":"Park","sequence":"first","affiliation":[{"name":"Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology , Daejeon 34141, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3260-4285","authenticated-orcid":false,"given":"Sangyeon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology , Daejeon 34141, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1951-8921","authenticated-orcid":false,"given":"Kwansoo","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology , Daejeon 34141, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3222-2965","authenticated-orcid":false,"given":"Jaegyun","family":"Jung","sequence":"additional","affiliation":[{"name":"Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology , Daejeon 34141, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9070-4316","authenticated-orcid":false,"given":"Doheon","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology , Daejeon 34141, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,12,29]]},"reference":[{"key":"2023010806154032900_btac843-B1","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1093\/ajh\/hpu235","article-title":"Plasma renin activity and resting heart rate in a population of community-dwelling Japanese: the Tanushimaru Study","volume":"28","author":"Adachi","year":"2015","journal-title":"Am. J. Hypertens"},{"key":"2023010806154032900_btac843-B2","doi-asserted-by":"crossref","first-page":"909","DOI":"10.1038\/nrd3845","article-title":"Reducing safety-related drug attrition: the use of in vitro pharmacological profiling","volume":"11","author":"Bowes","year":"2012","journal-title":"Nat. Rev. Drug Discov"},{"key":"2023010806154032900_btac843-B3","doi-asserted-by":"crossref","first-page":"109","DOI":"10.2165\/00002018-199920020-00002","article-title":"The medical dictionary for regulatory activities (MEDDRA)","volume":"20","author":"Brown","year":"2012","journal-title":"Drug Safety"},{"key":"2023010806154032900_btac843-B4","first-page":"891","volume-title":"International Conference on Information and Knowledge Management, Proceedings,","author":"Cao","year":"2015"},{"key":"2023010806154032900_btac843-B5","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1111\/bcp.12720","article-title":"Treatment of drug-induced seizures","volume":"81","author":"Chen","year":"2016","journal-title":"Br. J. Clin. Pharmacol"},{"key":"2023010806154032900_btac843-B6","doi-asserted-by":"crossref","first-page":"36325","DOI":"10.1038\/srep36325","article-title":"Large-scale identification of adverse drug reaction-related proteins through a random walk model","volume":"6","author":"Chen","year":"2016","journal-title":"Sci. Rep"},{"key":"2023010806154032900_btac843-B7","doi-asserted-by":"crossref","first-page":"481","DOI":"10.7861\/clinmedicine.16-5-481","article-title":"Adverse drug reactions","volume":"16","author":"Coleman","year":"2016","journal-title":"Clin. Med. (Lond.)"},{"key":"2023010806154032900_btac843-B8","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1136\/adc.2006.111633","article-title":"Quantifying how tests reduce diagnostic uncertainty","volume":"92","author":"Coulthard","year":"2007","journal-title":"Arch. Dis. Child"},{"key":"2023010806154032900_btac843-B9","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1111\/j.1365-2036.2006.02987.x","article-title":"Oesophageal acid exposure and altered neurocardiac function in patients with gerd and idiopathic cardiac dysrhythmias","volume":"24","author":"Cuomo","year":"2006","journal-title":"Aliment. Pharmacol. Ther"},{"key":"2023010806154032900_btac843-B10","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/S1086-5802(16)31229-3","article-title":"Drug-related morbidity and mortality: updating the cost-of-illness model","volume":"41","author":"Ernst","year":"2001","journal-title":"J. Am. Pharm. Assoc. (1996)"},{"key":"2023010806154032900_btac843-B11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/database\/baab068","article-title":"Mining drug\u2013target and drug\u2013adverse drug reaction databases to identify target\u2013adverse drug reaction relationships","volume":"2021","author":"Galletti","year":"2021","journal-title":"Database"},{"key":"2023010806154032900_btac843-B12","doi-asserted-by":"crossref","first-page":"70","DOI":"10.3389\/fbinf.2022.906644","article-title":"Prediction of adverse drug reaction linked to protein targets using network-based information and machine learning","volume":"2","author":"Galletti","year":"2022","journal-title":"Front. Bioinform"},{"key":"2023010806154032900_btac843-B13","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1186\/s12906-019-2769-0","article-title":"Clinical evidence-guided network pharmacology analysis reveals a critical contribution of beta1-adrenoreceptor upregulation to Bradycardia alleviation by Shenxian-Shengmai","volume":"19","author":"Gao","year":"2019","journal-title":"BMC Complement. Altern. Med"},{"key":"2023010806154032900_btac843-B14","doi-asserted-by":"crossref","first-page":"1896","DOI":"10.1111\/bcp.13294","article-title":"Pharmacogenomics of off-target adverse drug reactions","volume":"83","author":"Garon","year":"2017","journal-title":"Br. J. Clin. Pharmacol"},{"key":"2023010806154032900_btac843-B15","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1111\/bcp.12763","article-title":"Calcium channel antagonist and beta-blocker overdose: antidotes and adjunct therapies","volume":"81","author":"Graudins","year":"2016","journal-title":"Br. J. Clin. Pharmacol"},{"key":"2023010806154032900_btac843-B16","doi-asserted-by":"crossref","first-page":"1500","DOI":"10.1016\/S0140-6736(05)66422-7","article-title":"Refining clinical diagnosis with likelihood ratios","volume":"365","author":"Grimes","year":"2005","journal-title":"Lancet"},{"key":"2023010806154032900_btac843-B17","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":"Grover","year":"2016"},{"key":"2023010806154032900_btac843-B18","first-page":"52","volume-title":"IEEE Data Engineering Bulletin","author":"Hamilton","year":"2017"},{"key":"2023010806154032900_btac843-B19","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1016\/j.yjmcc.2007.10.001","article-title":"Neuropeptide y reduces acetylcholine release and vagal Bradycardia via a Y2 receptor-mediated, protein kinase C-dependent pathway","volume":"44","author":"Herring","year":"2008","journal-title":"J. Mol. Cell. Cardiol"},{"key":"2023010806154032900_btac843-B20","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1093\/chemse\/25.2.149","article-title":"Effects of various taste stimuli on heart rate in humans","volume":"25","author":"Horio","year":"2000","journal-title":"Chem. Senses"},{"key":"2023010806154032900_btac843-B21","doi-asserted-by":"crossref","first-page":"D911","DOI":"10.1093\/nar\/gkx899","article-title":"ADReCS-target: target profiles for aiding drug safety research and application","volume":"46","author":"Huang","year":"2018","journal-title":"Nucleic Acids Res"},{"key":"2023010806154032900_btac843-B22","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1113\/jphysiol.2005.085845","article-title":"The role of Central 5-HT3 receptors in vagal reflex inputs to neurones in the nucleus tractus solitarius of anaesthetized rats","volume":"566","author":"Jeggo","year":"2005","journal-title":"J. Physiol"},{"key":"2023010806154032900_btac843-B23","doi-asserted-by":"crossref","first-page":"343","DOI":"10.14740\/cr785","article-title":"Influence of beta-1 adrenergic receptor genotype on cardiovascular response to exercise in healthy subjects","volume":"9","author":"Kelley","year":"2018","journal-title":"Cardiol. Res"},{"key":"2023010806154032900_btac843-B24","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1111\/jnc.13975","article-title":"The three-finger toxin fold: a multifunctional structural scaffold able to modulate cholinergic functions","volume":"142","author":"Kessler","year":"2017","journal-title":"J. Neurochem"},{"key":"2023010806154032900_btac843-B25","volume-title":"Bayesian Deep Learning Workshop","author":"Kipf","year":"2016"},{"key":"2023010806154032900_btac843-B26","first-page":"1","author":"Kuhn","year":"2013"},{"key":"2023010806154032900_btac843-B27","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1038\/msb.2013.10","article-title":"Systematic identification of proteins that elicit drug side effects","volume":"9","author":"Kuhn","year":"2013","journal-title":"Mol. Syst. Biol"},{"key":"2023010806154032900_btac843-B28","doi-asserted-by":"crossref","first-page":"D1075","DOI":"10.1093\/nar\/gkv1075","article-title":"The sider database of drugs and side effects","volume":"44","author":"Kuhn","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"2023010806154032900_btac843-B29","doi-asserted-by":"crossref","first-page":"W90","DOI":"10.1093\/nar\/gkw377","article-title":"Enrichr: a comprehensive gene set enrichment analysis web server 2016 update","volume":"44","author":"Kuleshov","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"2023010806154032900_btac843-B30","doi-asserted-by":"crossref","first-page":"3579","DOI":"10.1093\/bioinformatics\/btab252","article-title":"Evaluating disease similarity based on gene network reconstruction and representation","volume":"37","author":"Li","year":"2021","journal-title":"Bioinformatics"},{"key":"2023010806154032900_btac843-B31","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1161\/CIRCRESAHA.113.300308","article-title":"Adrenergic nervous system in heart failure: pathophysiology and therapy","volume":"113","author":"Lymperopoulos","year":"2013","journal-title":"Circ. Res"},{"key":"2023010806154032900_btac843-B32","doi-asserted-by":"crossref","first-page":"1015","DOI":"10.1111\/bcp.14247","article-title":"Cyp2d6 polymorphism and its impact on the clinical response to metoprolol: a systematic review and meta-analysis","volume":"86","author":"Meloche","year":"2020","journal-title":"Br. J. Clin. Pharmacol"},{"key":"2023010806154032900_btac843-B33","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/BF00558245","article-title":"Possible mechanisms of anti-cholinergic drug-induced Bradycardia","volume":"35","author":"Meyer","year":"1988","journal-title":"Eur. J. Clin. Pharmacol"},{"key":"2023010806154032900_btac843-B34","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1056\/NEJMoa052475","article-title":"Familial sinus Bradycardia associated with a mutation in the cardiac pacemaker channel","volume":"354","author":"Milanesi","year":"2006","journal-title":"N Engl. J. Med"},{"key":"2023010806154032900_btac843-B35","first-page":"11","volume-title":"Proceedings of the ACM Symposium on Applied Computing","author":"Mohamed","year":"2019"},{"key":"2023010806154032900_btac843-B36","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/S1566-0702(01)00318-6","article-title":"Stimulation of 5-HT2 receptors in the nucleus tractus solitarius enhances NMDA receptor-mediated reflex-evoked Bradycardiac responses in the rat","volume":"92","author":"N\u2019Diaye","year":"2001","journal-title":"Autonomic Neurosci"},{"key":"2023010806154032900_btac843-B37","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1145\/2939672.2939751","volume-title":"Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"Ou","year":"2016"},{"key":"2023010806154032900_btac843-B38","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1111\/j.1540-8159.2004.00597.x","article-title":"Drug induced Bradycardia: to pace or not to pace?","volume":"27","author":"Ovsyshcher","year":"2004","journal-title":"Pacing Clin. Electrophysiol"},{"key":"2023010806154032900_btac843-B39","first-page":"2825","article-title":"Scikit-learn: machine learning in python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res"},{"key":"2023010806154032900_btac843-B40","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/BF02245425","article-title":"Persistent decrease in heart rate after smoking cessation: a 1-year follow-up study","volume":"106","author":"Persico","year":"1992","journal-title":"Psychopharmacology (Berlin)"},{"key":"2023010806154032900_btac843-B41","doi-asserted-by":"crossref","first-page":"a012112","DOI":"10.1101\/cshperspect.a012112","article-title":"Molecular mechanisms underlying behaviors related to nicotine addiction","volume":"3","author":"Picciotto","year":"2013","journal-title":"Cold Spring Harb. Perspect. Med"},{"key":"2023010806154032900_btac843-B42","doi-asserted-by":"crossref","first-page":"1295","DOI":"10.1136\/bmj.316.7140.1295","article-title":"Adverse drug reactions","volume":"316","author":"Pirmohamed","year":"1998","journal-title":"BMJ"},{"key":"2023010806154032900_btac843-B43","doi-asserted-by":"crossref","first-page":"S9","DOI":"10.1016\/j.cjca.2013.12.001","article-title":"Contemporary use of beta-blockers: clinical relevance of subclassification","volume":"30","author":"Poirier","year":"2014","journal-title":"Can. J. Cardiol"},{"key":"2023010806154032900_btac843-B44","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1002\/pds.2155","article-title":"Market withdrawal of new molecular entities approved in the United States from 1980 to 2009","volume":"20","author":"Qureshi","year":"2011","journal-title":"Pharmacoepidemiol. Drug Saf"},{"key":"2023010806154032900_btac843-B45","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/S0361-9230(01)00612-8","article-title":"Central cardiovascular regulation and 5-hydroxytryptamine receptors","volume":"56","author":"Ramage","year":"2001","journal-title":"Brain Res. Bull"},{"key":"2023010806154032900_btac843-B46","doi-asserted-by":"crossref","first-page":"e112476","DOI":"10.1371\/journal.pone.0112476","article-title":"Identifying genetic variants for heart rate variability in the acetylcholine pathway","volume":"9","author":"Riese","year":"2014","journal-title":"PLoS ONE"},{"key":"2023010806154032900_btac843-B47","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1016\/0196-9781(85)90441-3","article-title":"Dorsal medullary oxytocin, vasopressin, oxytocin antagonist, and TRH effects on gastric acid secretion and heart rate","volume":"6","author":"Rogers","year":"1985","journal-title":"Peptides"},{"key":"2023010806154032900_btac843-B48","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1038\/tpj.2009.9","article-title":"Cyp2d6 genotype and its relationship with metoprolol dose, concentrations and effect in patients with systolic heart failure","volume":"9","author":"Sharp","year":"2009","journal-title":"Pharmacogenomics J"},{"key":"2023010806154032900_btac843-B49","doi-asserted-by":"crossref","first-page":"20150181","DOI":"10.1098\/rsta.2015.0181","article-title":"Brainheart interactions: physiology and clinical implications","volume":"374","author":"Silvani","year":"2016","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci"},{"key":"2023010806154032900_btac843-B50","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1021\/acs.chemrestox.0c00294","article-title":"Systematic analysis of protein targets associated with adverse events of drugs from clinical trials and postmarketing reports","volume":"34","author":"Smit","year":"2021","journal-title":"Chem. Res. Toxicol"},{"key":"2023010806154032900_btac843-B51","doi-asserted-by":"crossref","first-page":"D380","DOI":"10.1093\/nar\/gkv1277","article-title":"Stitch 5: augmenting protein\u2013chemical interaction networks with tissue and affinity data","volume":"44","author":"Szklarczyk","year":"2016","journal-title":"Nucleic Acids Res"},{"key":"2023010806154032900_btac843-B52","doi-asserted-by":"crossref","first-page":"D605","DOI":"10.1093\/nar\/gkaa1074","article-title":"The string database in 2021: customizable protein\u2013protein networks, and functional characterization of user-uploaded gene\/measurement sets","volume":"49","author":"Szklarczyk","year":"2021","journal-title":"Nucleic Acids Res"},{"key":"2023010806154032900_btac843-B53","first-page":"1067","volume-title":"WWW 2015 \u2013 Proceedings of the 24th International Conference on World Wide Web","author":"Tang","year":"2015"},{"key":"2023010806154032900_btac843-B54","volume-title":"2nd ADBIS Workshop on Data Mining and Knowledge Discovery","author":"Tsoumakas","year":"2006"},{"key":"2023010806154032900_btac843-B55","doi-asserted-by":"crossref","first-page":"e12063","DOI":"10.1371\/journal.pone.0012063","article-title":"A structure-based approach for mapping adverse drug reactions to the perturbation of underlying biological pathways","volume":"5","author":"Wallach","year":"2010","journal-title":"PLoS ONE"},{"key":"2023010806154032900_btac843-B56","doi-asserted-by":"crossref","first-page":"1336","DOI":"10.1039\/C7MB00188F","article-title":"Predicting protein\u2013protein interactions from protein sequences by a stacked sparse autoencoder deep neural network","volume":"13","author":"Wang","year":"2017","journal-title":"Mol. Biosyst"},{"key":"2023010806154032900_btac843-B57","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1038\/nrd4609","article-title":"An analysis of the attrition of drug candidates from four major pharmaceutical companies","volume":"14","author":"Waring","year":"2015","journal-title":"Nat. Rev. Drug Discov"},{"key":"2023010806154032900_btac843-B58","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.1016\/S1359-6446(05)03632-9","article-title":"Keynote review: in vitro safety pharmacology profiling: an essential tool for successful drug development","volume":"10","author":"Whitebread","year":"2005","journal-title":"Drug Discov. Today"},{"key":"2023010806154032900_btac843-B59","doi-asserted-by":"crossref","first-page":"e1000441","DOI":"10.1371\/journal.pcbi.1000441","article-title":"Harvesting candidate genes responsible for serious adverse drug reactions from a chemical\u2013protein interactome","volume":"5","author":"Yang","year":"2009","journal-title":"PLoS Comput. Biol"},{"key":"2023010806154032900_btac843-B60","doi-asserted-by":"crossref","first-page":"e1002016","DOI":"10.1371\/journal.pcbi.1002016","article-title":"Exploring off-targets and off-systems for adverse drug reactions via chemical-protein interactome\u2014clozapine-induced agranulocytosis as a case study","volume":"7","author":"Yang","year":"2011","journal-title":"PLoS Comput. Biol"},{"key":"2023010806154032900_btac843-B61","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1093\/bioinformatics\/btz718","article-title":"Graph embedding on biomedical networks: methods, applications and evaluations","volume":"36","author":"Yue","year":"2020","journal-title":"Bioinformatics"},{"key":"2023010806154032900_btac843-B62","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.jbi.2018.11.005","article-title":"Manifold regularized matrix factorization for drug-drug interaction prediction","volume":"88","author":"Zhang","year":"2018","journal-title":"J. Biomed. Inform"},{"key":"2023010806154032900_btac843-B63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12859-020-03682-4","article-title":"NEDD: a network embedding based method for predicting drug\u2013disease associations","volume":"21","author":"Zhou","year":"2020","journal-title":"BMC Bioinformatics"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/advance-article-pdf\/doi\/10.1093\/bioinformatics\/btac843\/48443110\/btac843.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/39\/1\/btac843\/48521771\/btac843.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/39\/1\/btac843\/48521771\/btac843.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,19]],"date-time":"2023-03-19T09:44:52Z","timestamp":1679219092000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/doi\/10.1093\/bioinformatics\/btac843\/6965019"}},"subtitle":[],"editor":[{"given":"Anthony","family":"Mathelier","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,12,29]]},"references-count":63,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btac843","relation":{},"ISSN":["1367-4811"],"issn-type":[{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,1,1]]},"published":{"date-parts":[[2022,12,29]]},"article-number":"btac843"}}