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Drug Discovery: Overview01:26

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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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Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Incurred sample reanalysis in drug discovery bioanalysis.

Poonam Giri1, Nirmal Patel1, Vipul Joshi1

  • 1Department of Drug Metabolism and Pharmacokinetics, Zydus Research Centre, Cadila Healthcare Ltd, Ahmedabad, India.

Biomedical Chromatography : BMC
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PubMed
Summary
This summary is machine-generated.

This study introduces a new incurred sample reanalysis (ISR) strategy for drug discovery bioanalysis. The proposed method supports the reliability of pharmacokinetic data for novel chemical entities, ensuring robust decision-making.

Keywords:
bioanalysisclinical candidatedrug discoveryincurred sample reanalysis

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Area of Science:

  • Pharmacokinetics and Drug Metabolism
  • Bioanalytical Chemistry
  • Drug Discovery and Development

Background:

  • Bioanalysis is critical for generating pharmacokinetic data during drug discovery.
  • Pharmacokinetic data informs key decisions regarding lead optimization and candidate selection.
  • Incurred sample reanalysis (ISR) is essential for validating bioanalytical assay reliability.

Purpose of the Study:

  • To propose a novel strategy for incurred sample reanalysis (ISR) of novel chemical entities.
  • To assess the reliability of bioanalytical assays at various drug discovery stages.
  • To establish acceptance criteria for ISR data in discovery bioanalysis.

Main Methods:

  • Selection of novel chemical entities from three discovery programs (hits, leads, optimized leads).
  • Incurred sample reanalysis (ISR) performed on samples representing absorption, distribution, and elimination phases.
  • Evaluation of ISR values against original concentration data.

Main Results:

  • The majority of ISR values supported the accuracy and precision of the discovery bioanalytical assays.
  • One outlier ISR value showed a high deviation (approx. 63%).
  • A proposed acceptance criterion: 67% of repeat samples within ±30% difference between ISR and original concentration.

Conclusions:

  • The developed ISR strategy validates discovery bioanalytical assays for novel chemical entities.
  • The proposed acceptance criteria provide a framework for reliable pharmacokinetic data generation.
  • This approach enhances the unbiased evaluation of drug candidates in early-stage discovery.