{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T14:56:09Z","timestamp":1780325769806,"version":"3.54.1"},"reference-count":26,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T00:00:00Z","timestamp":1654128000000},"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\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2021T140075"],"award-info":[{"award-number":["2021T140075"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M670236"],"award-info":[{"award-number":["2020M670236"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82104694"],"award-info":[{"award-number":["82104694"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014219","name":"National Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","award":["81725024"],"award-info":[{"award-number":["81725024"]}],"id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In the previous study, we developed the generalized drug-induced liver injury (DILI) prediction model\u2014ResNet18DNN to predict DILI based on multi-source combined DILI dataset and achieved better performance than that of previously published described DILI prediction models. Recently, we were honored to receive the invitation from the editor to response the Letter to Editor by Liu Zhichao, et al. We were glad that our research has attracted the attention of Liu\u2019s team and they has put forward their opinions on our research. In this response to Letter to the Editor, we will respond to these comments.<\/jats:p>","DOI":"10.1093\/bib\/bbac196","type":"journal-article","created":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T19:30:48Z","timestamp":1651174248000},"source":"Crossref","is-referenced-by-count":16,"title":["The prediction approach of drug-induced liver injury: response to the issues of reproducible science of artificial intelligence in real-world applications"],"prefix":"10.1093","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3911-1125","authenticated-orcid":false,"given":"Zhao","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Chinese Internal Medicine of Ministry of Education , Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yin","family":"Jiang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Chinese Internal Medicine of Ministry of Education , Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Chinese Internal Medicine of Ministry of Education , Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zheng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Chinese Internal Medicine of Ministry of Education , Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruijin","family":"Qiu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Chinese Internal Medicine of Ministry of Education , Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Sun","sequence":"additional","affiliation":[{"name":"Key Laboratory of Chinese Internal Medicine of Ministry of Education , Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Basic Research in Clinical Medicine , China Academy of Chinese Medical Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongcai","family":"Shang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Chinese Internal Medicine of Ministry of Education , Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China"},{"name":"College of Integrated Traditional Chinese and Western Medicine , Hunan University of Chinese Medicine, Changsha, Hunan 410208 , China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,6,2]]},"reference":[{"key":"2022071905582971600_ref1","doi-asserted-by":"crossref","DOI":"10.1093\/bib\/bbab503","article-title":"ResNet18DNN: prediction approach of drug-induced liver injury by deep neural network with ResNet18","volume":"23","author":"Chen","year":"2022","journal-title":"Brief Bioinform"},{"key":"2022071905582971600_ref2","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.drudis.2019.09.022","article-title":"Drug-induced liver injury severity and toxicity (DILIst): binary classification of 1279 drugs by human hepatotoxicity","volume":"25","author":"Thakkar","year":"2020","journal-title":"Drug Discov Today"},{"key":"2022071905582971600_ref3","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1016\/j.drudis.2016.02.015","article-title":"DILIrank: the largest reference drug list ranked by the risk for developing drug-induced liver injury in humans","volume":"21","author":"Chen","year":"2016","journal-title":"Drug Discov Today"},{"key":"2022071905582971600_ref4","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1002\/hep.26175","article-title":"LiverTox: a website on drug-induced liver injury","volume":"57","author":"Hoofnagle","year":"2013","journal-title":"Hepatology"},{"key":"2022071905582971600_ref5","first-page":"H116","article-title":"Hepatox: database on hepatotoxic drugs","volume":"17","author":"Quinton","year":"1993","journal-title":"Gastroenterol Clin Biol"},{"key":"2022071905582971600_ref6","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1038\/clpt.2013.16","article-title":"The liver toxicity knowledge base: a systems approach to a complex end point","volume":"93","author":"Chen","year":"2013","journal-title":"Clin Pharmacol Ther"},{"key":"2022071905582971600_ref7","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1093\/toxsci\/kft189","article-title":"Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs","volume":"136","author":"Chen","year":"2013","journal-title":"Toxicol Sci"},{"key":"2022071905582971600_ref8","doi-asserted-by":"crossref","first-page":"1215","DOI":"10.1021\/tx1000865","article-title":"Developing structure-activity relationships for the prediction of hepatotoxicity","volume":"23","author":"Greene","year":"2010","journal-title":"Chem Res Toxicol"},{"key":"2022071905582971600_ref9","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.fct.2015.01.020","article-title":"Developing a QSAR model for hepatotoxicity screening of the active compounds in traditional Chinese medicines","volume":"78","author":"Huang","year":"2015","journal-title":"Food Chem Toxicol"},{"key":"2022071905582971600_ref10","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1007\/s10822-011-9468-3","article-title":"Mixed learning algorithms and features ensemble in hepatotoxicity prediction","volume":"25","author":"Liew","year":"2011","journal-title":"J Comput Aided Mol Des"},{"key":"2022071905582971600_ref11","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1002310","article-title":"Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps)","volume":"7","author":"Liu","year":"2011","journal-title":"PLoS Comput Biol"},{"key":"2022071905582971600_ref12","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.1021\/tx200148a","article-title":"Predicting drug-induced hepatotoxicity using QSAR and toxicogenomics approaches","volume":"24","author":"Low","year":"2011","journal-title":"Chem Res Toxicol"},{"key":"2022071905582971600_ref13","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1007\/s00204-006-0091-3","article-title":"High concordance of drug-induced human hepatotoxicity with in vitro cytotoxicity measured in a novel cell-based model using high content screening","volume":"80","author":"O\u2019Brien","year":"2006","journal-title":"Arch Toxicol"},{"key":"2022071905582971600_ref14","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1021\/tx900451r","article-title":"Modeling liver-related adverse effects of drugs using k nearest neighbor quantitative structure\u2212 activity relationship method","volume":"23","author":"Rodgers","year":"2010","journal-title":"Chem Res Toxicol"},{"key":"2022071905582971600_ref15","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1093\/toxsci\/kfn109","article-title":"Cellular imaging predictions of clinical drug-induced liver injury","volume":"105","author":"Xu","year":"2008","journal-title":"Toxicol Sci"},{"key":"2022071905582971600_ref16","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.tox.2014.03.009","article-title":"Construction and analysis of a human hepatotoxicity database suitable for QSAR modeling using post-market safety data","volume":"321","author":"Zhu","year":"2014","journal-title":"Toxicology"},{"key":"2022071905582971600_ref17","article-title":"DeepDILI: deep learning-powered drug-induced liver injury prediction using model-level representation","volume":"34","author":"Li","year":"2020","journal-title":"Chem Res Toxicol"},{"key":"2022071905582971600_ref18","doi-asserted-by":"crossref","first-page":"2085","DOI":"10.1021\/acs.jcim.5b00238","article-title":"Deep learning for drug-induced liver injury","volume":"55","author":"Xu","year":"2015","journal-title":"J Chem Inf Model"},{"key":"2022071905582971600_ref19","doi-asserted-by":"crossref","first-page":"25432","DOI":"10.1021\/acsomega.0c03866","article-title":"Predicting drug-induced liver injury using convolutional neural network and molecular fingerprint-embedded features","volume":"5","author":"Nguyen-Vo","year":"2020","journal-title":"ACS omega"},{"key":"2022071905582971600_ref20","doi-asserted-by":"crossref","first-page":"2628","DOI":"10.1021\/acs.molpharmaceut.0c00326","article-title":"Comparing machine learning algorithms for predicting drug-induced liver injury (DILI)","volume":"17","author":"Minerali","year":"2020","journal-title":"Mol Pharm"},{"key":"2022071905582971600_ref21","doi-asserted-by":"crossref","first-page":"W257","DOI":"10.1093\/nar\/gky318","article-title":"ProTox-II: a webserver for the prediction of toxicity of chemicals","volume":"46","author":"Banerjee","year":"2018","journal-title":"Nucleic Acids Res"},{"key":"2022071905582971600_ref22","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1021\/acs.chemrestox.0c00322","article-title":"Deep graph learning with property augmentation for predicting drug-induced liver injury","volume":"34","author":"Ma","year":"2020","journal-title":"Chem Res Toxicol"},{"key":"2022071905582971600_ref23","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1093\/toxsci\/kfy121","article-title":"Predicting drug-induced liver injury using ensemble learning methods and molecular fingerprints","volume":"165","author":"Ai","year":"2018","journal-title":"Toxicol Sci"},{"key":"2022071905582971600_ref24","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1002\/minf.201500055","article-title":"In silico prediction of drug induced liver toxicity using substructure pattern recognition method","volume":"35","author":"Zhang","year":"2016","journal-title":"Mol Inform"},{"key":"2022071905582971600_ref25","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1021\/acs.chemrestox.5b00465","article-title":"Computational models for human and animal hepatotoxicity with a global application scope","volume":"29","author":"Mulliner","year":"2016","journal-title":"Chem Res Toxicol"},{"key":"2022071905582971600_ref26","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.tox.2017.06.003","article-title":"Predicting drug-induced liver injury: the importance of data curation","volume":"389","author":"Kotsampasakou","year":"2017","journal-title":"Toxicology"}],"container-title":["Briefings in Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/23\/4\/bbac196\/45016343\/bbac196.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bib\/article-pdf\/23\/4\/bbac196\/45016343\/bbac196.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T05:58:54Z","timestamp":1658210334000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bib\/article\/doi\/10.1093\/bib\/bbac196\/6598880"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,2]]},"references-count":26,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,7,18]]}},"URL":"https:\/\/doi.org\/10.1093\/bib\/bbac196","relation":{},"ISSN":["1467-5463","1477-4054"],"issn-type":[{"value":"1467-5463","type":"print"},{"value":"1477-4054","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2022,7,18]]},"published":{"date-parts":[[2022,6,2]]},"article-number":"bbac196"}}