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Drug interactions are a critical aspect of pharmacology and can occur when two or more drugs compete for the same binding site. This competition can result in one drug displacing another, altering the effect of the displaced drug. Drug interactions are complex processes that rely heavily on how much of the displacer drug is present and how strongly it can bind to the same sites as the displaced drug.
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Translational drug-interaction corpus.

Shijun Zhang1, Hengyi Wu2, Lei Wang1

  • 1Department of Biomedical Informatics, College of Medicine, The Ohio State University, 1585 Neil Ave, Columbus, OH 43210, USA.

Database : the Journal of Biological Databases and Curation
|May 26, 2022
PubMed
Summary
This summary is machine-generated.

Researchers developed a new drug-drug interaction (DDI) corpus for text mining, improving annotation accuracy to 96%. This resource aids in discovering DDIs with translational impact across pharmacokinetic and clinical studies.

Area of Science:

  • Pharmacology and Toxicology
  • Natural Language Processing
  • Bioinformatics

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Background:

  • Accurate identification of drug-drug interactions (DDIs) with translational impact from in vitro pharmacokinetics (PK), in vivo PK, and clinical outcomes is crucial.
  • Existing text mining approaches rely heavily on the quality of annotated corpora, highlighting a need for improved resources.
  • Translational research in drug interactions requires robust data for accurate DDI discovery.