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Drug toxicity: Drug–Drug Interaction01:30

Drug toxicity: Drug–Drug Interaction

Drug–drug interactions can precipitate toxicity through multiple mechanisms. Absorption interactions alter how drugs enter the body, exemplified when ranitidine increases the absorption of basic drugs, while cholestyramine decreases the levels of propranolol. Protein binding interactions occur when drugs share the same binding sites on plasma proteins. Drugs like aspirin and warfarin, when bound in excess, can lead to increased free drug concentrations, enhancing the potential for...
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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
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Published on: August 28, 2019

In silico methods to predict drug toxicity.

Alessandra Roncaglioni1, Andrey A Toropov, Alla P Toropova

  • 1IRCCS - Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa 19, 20156 Milano, Italy.

Current Opinion in Pharmacology
|June 26, 2013
PubMed
Summary

In silico methods for pharmaceutical toxicity assessment are evolving, shifting from initial screening to expert support for investigating toxic potential. These computational tools now offer valuable safety insights within a weight-of-evidence approach.

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Area of Science:

  • Pharmacology
  • Toxicology
  • Computational Chemistry

Background:

  • In silico methods are increasingly used in pharmaceutical development.
  • Traditional uses focused on early toxicity screening.
  • A paradigm shift is occurring in their application.

Purpose of the Study:

  • To review current in silico methods for pharmaceutical toxicity characterization.
  • To highlight the evolving role of these tools in supporting expert toxicological assessment.
  • To discuss the integration of in silico data into a weight-of-evidence strategy.

Main Methods:

  • Review of computational tools for predicting toxicity endpoints (e.g., genotoxicity, organ-specific toxicity).
  • Examination of methods for Absorption, Distribution, Metabolism, and Excretion (ADME) processes.
  • Analysis of protein-ligand docking binding techniques.

Main Results:

  • In silico tools are rapidly advancing.
  • Current interest lies in using these methods to assist expert toxicologists.
  • These tools provide safety perspectives and insights for a weight-of-evidence approach.

Conclusions:

  • The philosophy of in silico methodology is shifting towards expert augmentation.
  • These computational approaches are becoming integral to investigating toxic potential.
  • Future evolution is expected, particularly with integration into systems biology.