Login / Signup

DDInter 2.0: an enhanced drug interaction resource with expanded data coverage, new interaction types, and improved user interface.

Yao TianJia-Cai YiNingning WangChengkun WuJinfu PengShao LiuGuoping YangDong-Sheng Cao
Published in: Nucleic acids research (2024)
Drug interactions pose significant challenges in clinical practice, potentially leading to adverse drug reactions, reduced efficacy, and even life-threatening consequences. As polypharmacy becomes increasingly common, the risk of harmful drug interactions rises, underscoring the need for comprehensive and user-friendly drug interaction resources to ensure patient safety. To address these concerns and support healthcare professionals in optimizing drug therapy, we present DDInter 2.0, a significantly expanded and enhanced update to our drug interaction database. This new version incorporates additional interaction types, including drug-food interactions (DFIs), drug-disease interactions (DDSIs), and therapeutic duplications, providing a more complete resource for clinical decision-making. The updated database covers 2310 drugs, with 302 516 drug-drug interaction (DDI) records accompanied by 8398 distinct, high-quality mechanism descriptions and management recommendations. DDInter 2.0 also includes 857 DFIs, 8359 DDSIs and 6033 therapeutic duplication records, each supplemented with detailed information and guidance. Furthermore, the enhanced user interface and advanced filtering options in this second release facilitate easy access to and analysis of the comprehensive drug interaction data. By providing healthcare professionals and researchers with a more complete and user-friendly resource, DDInter 2.0 aims to support clinical decision-making and ultimately improve patient outcomes. DDInter 2.0 is freely accessible at https://ddinter2.scbdd.com.
Keyphrases
  • adverse drug
  • patient safety
  • decision making
  • electronic health record
  • clinical practice
  • stem cells
  • emergency department
  • healthcare
  • mesenchymal stem cells
  • big data
  • deep learning
  • social media