{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:46:59Z","timestamp":1753876019837,"version":"3.41.2"},"reference-count":7,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:00:00Z","timestamp":1705536000000},"content-version":"vor","delay-in-days":17,"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":["61671191 62072144"],"award-info":[{"award-number":["61671191 62072144"]}],"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":["61671191 62072144"],"award-info":[{"award-number":["61671191 62072144"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The phenotypes of drug action, including therapeutic actions and adverse drug reactions (ADRs), are important indicators for evaluating the druggability of new drugs and repositioning the approved drugs. Here, we provide a user-friendly database, DAPredict (http:\/\/bio-bigdata.hrbmu.edu.cn\/DAPredict), in which our novel original drug action phenotypes prediction algorithm (Yang,J., Zhang,D., Liu,L. et\u00a0al. (2021) Computational drug repositioning based on the relationships between substructure-indication. Brief. Bioinformatics, 22, bbaa348) was embedded. Our algorithm integrates characteristics of chemical genomics and pharmacogenomics, breaking through the limitations that traditional drug development process based on phenotype cannot analyze the mechanism of drug action. Predicting phenotypes of drug action based on the local active structures of drugs and proteins can achieve more innovative drug discovery across drug categories and simultaneously evaluate drug efficacy and safety, rather than traditional one-by-one evaluation. DAPredict contains 305\u2009981 predicted relationships between 1748 approved drugs and 454 ADRs, 83\u2009117 predicted relationships between 1478 approved drugs and 178 Anatomical Therapeutic Chemicals (ATC). More importantly, DAPredict provides an online prediction tool, which researchers can use to predict the action phenotypic spectrum of more than 110\u2009000\u2009000 compounds (including about 168\u2009000 natural products) and corresponding proteins to analyze their potential effect mechanisms. DAPredict can also help researchers obtain the phenotype-corresponding active structures for structural optimization of new drug candidates, making it easier to evaluate the druggability of new drug candidates and develop more innovative drugs across drug categories.<\/jats:p>\n               <jats:p>Database URL: \u00a0http:\/\/bio-bigdata.hrbmu.edu.cn\/DAPredict\/<\/jats:p>","DOI":"10.1093\/database\/baad095","type":"journal-article","created":{"date-parts":[[2024,1,20]],"date-time":"2024-01-20T05:56:58Z","timestamp":1705730218000},"source":"Crossref","is-referenced-by-count":0,"title":["DAPredict: a database for drug action phenotype prediction"],"prefix":"10.1093","volume":"2024","author":[{"given":"Qingkang","family":"Meng","sequence":"first","affiliation":[{"name":"Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081, China"}]},{"given":"Yiyang","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081, China"}]},{"given":"Kun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081, China"}]},{"given":"Fei","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081, China"}]},{"given":"Diwei","family":"Huo","sequence":"additional","affiliation":[{"name":"The Fourth Affiliated Hospital of Harbin Medical University , Harbin 150081, China"}]},{"given":"Hongbo","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081, China"}]},{"given":"Meini","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081, China"}]},{"given":"Denan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2423-8569","authenticated-orcid":false,"given":"Xiujie","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University , Harbin 150081, China"}]}],"member":"286","published-online":{"date-parts":[[2024,1,18]]},"reference":[{"key":"2024062912154791800_R1","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.chembiol.2021.01.010","article-title":"The future of phenotypic drug discovery","volume":"28","author":"Berg","year":"2021","journal-title":"Cell Chem. 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