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DDInter: an online drug–drug interaction database towards improving clinical decision-making and patient safety

Xiong, Guoli, Yang, Zhijiang, Yi, Jiacai, Wang, Ningning, Wang, Lei, Zhu, Huimin, Wu, Chengkun, Lu, Aiping, Chen, Xiang, Liu, Shao, Hou, Tingjun, Cao, Dongsheng·2022·Nucleic Acids Research
DOI 10.1093/nar/gkab880PMC PMC8728114
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Abstract

Drug-drug interaction (DDI) can trigger many adverse effects in patients and has emerged as a threat to medicine and public health. Despite the continuous information accumulation of clinically significant DDIs, there are few open-access knowledge systems dedicated to the curation of DDI associations. To facilitate the clinicians to screen for dangerous drug combinations and improve health systems, we present DDInter, a curated DDI database with comprehensive data, practical medication guidance, intuitive function interface, and powerful visualization to the scientific community. Currently, DDInter contains about 0.24M DDI associations connecting 1833 approved drugs (1972 entities). Each drug is annotated with basic chemical and pharmacological information and its interaction network. For DDI associations, abundant and professional annotations are provided, including severity, mechanism description, strategies for managing potential side effects, alternative medications, etc. The drug entities and interaction entities are efficiently cross-linked. In addition to basic query and browsing, the prescription checking function is developed to facilitate clinicians to decide whether drugs combinations can be used safely. It can also be used for informatics-based DDI investigation and evaluation of other prediction frameworks. We hope that DDInter will prove useful in improving clinical decision-making and patient safety. DDInter is freely available, without registration, at http://ddinter.scbdd.com/.

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Crossref · 10.1093/nar/gkab880

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  • The DDInter covers approximately 240,000 DDI drugs reviewed and revised by clinical pharmacists, providing practical information on mechanisms of action, severity, potential risks, and drug-switching options.

    “The DDInter covers approximately 240,000 DDI drugs reviewed and revised by clinical pharmacists, providing practical information on mechanisms of action, severity, potential risks, and drug-switching options [219].”

    From Chinese guideline for the diagnosis and treatment of drug-induced liver injury: an update (2024) · cites this paper as [219]

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Research works printed but not linked: 32

  1. Control, C.f.D., 2010, National Hospital Ambulatory Medical Care Survey 2009, Centers for Disease Control
  2. Wienkers, 2005, Predicting in vivo drug interactions from in vitro drug discovery data, Nat. Rev. Drug Discov., 4, 825, 10.1038/nrd1851 · DOI
  3. Nebert, 2002, Clinical importance of the cytochromes P450, Lancet, 360, 1155, 10.1016/S0140-6736(02)11203-7 · DOI
  4. Nigam, 2015, What do drug transporters really do?, Nat. Rev. Drug Discov., 14, 29, 10.1038/nrd4461 · DOI
  5. Niu, 2019, Pharmacodynamic drug-drug interactions, Clin. Pharmacol. Ther., 105, 1395, 10.1002/cpt.1434 · DOI
  6. Onder, 2017, Polypharmacy, JAMA, 318, 1728, 10.1001/jama.2017.15764 · DOI
  7. Ryu, 2018, Deep learning improves prediction of drug–drug and drug-food interactions, Proc. Natl. Acad. Sci. U.S.A., 115, E4304, 10.1073/pnas.1803294115 · DOI
  8. Guieu, 2021, Desirable drug–drug interactions or when a matter of concern becomes a renewed therapeutic strategy, Drug Discov. Today, 26, 315, 10.1016/j.drudis.2020.11.026 · DOI
  9. Vilar, 2018, Detection of drug–drug interactions through data mining studies using clinical sources, scientific literature and social media, Brief. Bioinform., 19, 863, 10.1093/bib/bbx010 · DOI
  10. Pirmohamed, 1998, Drug interactions of clinical importance, Davies's Textbook of Adverse Drug Reactions, 888
  11. Qato, 2016, Changes in prescription and over-the-counter medication and dietary supplement use among older adults in the United States, 2005 vs 2011, JAMA Intern. Med., 176, 473, 10.1001/jamainternmed.2015.8581 · DOI
  12. Qiu, 2021, A comprehensive review of computational methods for drug-drug interaction detection, IEEE/ACM Trans. Comput. Biol. Bioinf., 10.1109/TCBB.2021.3081268 · DOI
  13. Siramshetty, 2018, SuperDRUG2: a one stop resource for approved/marketed drugs, Nucleic Acids Res., 46, D1137, 10.1093/nar/gkx1088 · DOI
  14. Banerjee, 2020, SuperCYPsPred-a web server for the prediction of cytochrome activity, Nucleic Acids Res., 48, W580, 10.1093/nar/gkaa166 · DOI
  15. Hoffmann, 2014, The transformer database: biotransformation of xenobiotics, Nucleic Acids Res., 42, D1113, 10.1093/nar/gkt1246 · DOI
  16. Wang, 2017, Dependency-based long short term memory network for drug–drug interaction extraction, BMC Bioinformatics, 18, 578, 10.1186/s12859-017-1962-8 · DOI
  17. Greenberg, 2011, Clinical decision support and malpractice risk, JAMA, 306, 90, 10.1001/jama.2011.929 · DOI
  18. Klasco, 2009, DRUGDEX® system (electronic version). Thomson MICROMEDEX, Greenwood Village, Colorado, USA, 1, 06
  19. MacDonald, 2004, Interprovincial variation in access to publicly funded pharmaceuticals: a review based on the WHO anatomical therapeutic chemical classification system, Can. Pharm. J., 137, 29, 10.1177/171516350413700703 · DOI
  20. Sikka, 2005, Bench to bedside: pharmacogenomics, adverse drug interactions, and the cytochrome P450 system, Acad. Emerg. Med., 12, 1227, 10.1197/j.aem.2005.06.027 · DOI
  21. Lynch, 2007, The effect of cytochrome P450 metabolism on drug response, interactions, and adverse effects, Am. Fam. Physician, 76, 391
  22. Xiong, 2021, ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties, Nucleic Acids Res., 49, W5, 10.1093/nar/gkab255 · DOI
  23. Landrum, 2016, RDKit: open-source cheminformatics
  24. Rego, 2015, 3Dmol.js: molecular visualization with WebGL, Bioinformatics, 31, 1322, 10.1093/bioinformatics/btu829 · DOI
  25. Li, 2018, ECharts: a declarative framework for rapid construction of web-based visualization, Visual Informatics, 2, 136, 10.1016/j.visinf.2018.04.011 · DOI
  26. Sheikh-Taha, 2021, Polypharmacy and severe potential drug–drug interactions among older adults with cardiovascular disease in the United States, BMC Geriatr, 21, 233, 10.1186/s12877-021-02183-0 · DOI
  27. Triplitt, 2006, Drug interactions of medications commonly used in diabetes, Diabetes Spectrum, 19, 202, 10.2337/diaspect.19.4.202 · DOI
  28. Leite, 2016, Review on mechanisms and interactions in concomitant use of herbs and warfarin therapy, Biomed. Pharmacother., 83, 14, 10.1016/j.biopha.2016.06.012 · DOI
  29. Walia, 2004, Side effects of antiepileptics–a review, Pain Pract, 4, 194, 10.1111/j.1533-2500.2004.04304.x · DOI
  30. Mallet, 2007, The challenge of managing drug interactions in elderly people, Lancet, 370, 185, 10.1016/S0140-6736(07)61092-7 · DOI
  31. Zheng, 2019, DDI-PULearn: a positive-unlabeled learning method for large-scale prediction of drug–drug interactions, BMC Bioinformatics, 20, 661, 10.1186/s12859-019-3214-6 · DOI
  32. Nyamabo, 2021, SSI-DDI: substructure-substructure interactions for drug–drug interaction prediction, Brief. Bioinform., bbab133, 10.1093/bib/bbab133 · DOI

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Metadata

Authors
Xiong, G., Yang, Z., Yi, J., Wang, N., Wang, L., Zhu, H., Wu, C., Lu, A., Chen, X., Liu, S., Hou, T., & Cao, D.
Venue
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Published
2021-10-11
Volume
50
Issue
D1
Pages
D1200-D1207
ISSN
  • 0305-1048
  • 1362-4962
DOI
10.1093/nar/gkab880
PMC
PMC8728114
Cited by
133
References
3
Language
en
Licence
creativecommons.org/licenses/by-nc/4.0/ (vor)
Funders
  • National Science Foundation of China (2217030451, 21575128, 81773632)
  • Changsha Municipal Natural Science Foundation (kq2014144)
  • Changsha Science and Technology Bureau (kq2001034)
  • Zhejiang Provincial Natural Science Foundation of China (LZ19H300001)
  • Key R&D Program of Zhejiang Province (2020C03010)
  • Leading Talent of ‘Ten Thousand Plan’-National High-Level Talents Special Support Plan
  • HKBU Strategic Development Fund (SDF19-0402-P02)
  • Key Research Project of Ningxia Hui Autonomous Region (2021BEG01001)

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