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Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood or body tissues to tailor drug therapy effectively. This monitoring is critical for managing drugs with narrow therapeutic indices like digoxin and phenytoin, ensuring they are both safe and effective. For instance, monitoring theophylline levels in asthma patients involves precision and sensitivity to adjust doses according to individual responses to therapy, ensuring efficacy and...
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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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Therapeutic Drug Monitoring (TDM) is a clinical practice that measures specific drug levels in a patient's blood at designated intervals to ensure the drug concentration stays within a therapeutic range. This monitoring is crucial for optimizing individual dosage regimens, enhancing therapeutic efficacy, and minimizing drug-related toxicity. TDM is vital for drugs with narrow therapeutic windows, significant variability in pharmacokinetics, and a clear correlation between plasma levels and...
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Related Experiment Video

Updated: Oct 11, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

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Network analytics for drug repurposing in COVID-19.

Nicoleta Siminea1, Victor Popescu2, Jose Angel Sanchez Martin3

  • 1Faculty of Mathematics and Computer Science, ICUB, University of Bucharest, Romania and Department of Bioinformatics, National Institute of Research and Development for Biological Sciences, Romania.

Briefings in Bioinformatics
|December 5, 2021
PubMed
Summary
This summary is machine-generated.

This study identifies potential drug repurposing candidates for COVID-19 by analyzing host-pathogen interactions. The findings offer new therapeutic targets for SARS-CoV-2 and other diseases.

Keywords:
COVID-19drug repurposinghost factorsnetwork biologynetwork controllability

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Area of Science:

  • Virology and Bioinformatics
  • Drug Discovery and Development

Background:

  • SARS-CoV-2 infection relies on specific host factors.
  • Understanding these interactions is key for therapeutic strategies.

Purpose of the Study:

  • To explore drug repurposing for COVID-19 by analyzing host factor control.
  • To identify novel therapeutic targets through network analysis.

Main Methods:

  • Constructed comprehensive directed protein-protein interaction (PPI) networks.
  • Integrated host factors, drug targets, and PPI data.
  • Analyzed networks to identify effective drug targets and combinations.

Main Results:

  • Identified key host factors crucial for SARS-CoV-2 infection.
  • Discovered potential drug targets and synergistic drug combinations.
  • Validated findings using clinical and bioinformatics data.

Conclusions:

  • The study provides novel insights into COVID-19 molecular mechanisms.
  • The identified targets and drug combinations show promise for COVID-19 therapy.
  • The drug repurposing approach is applicable to other infectious diseases.