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Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Related Experiment Video

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Hit-to-Lead: Hit Validation and Assessment.

Kirk E Hevener1, Russell Pesavento2, JinHong Ren3

  • 1Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN, United States.

Methods in Enzymology
|November 5, 2018
PubMed
Summary

High-throughput screening identifies potential drug candidates. This study details methods for validating these hits, including chemical, computational, and biophysical assays, to ensure quality for further development.

Keywords:
ADMETAssessmentChemical diversityCounter-assaysDrug-likenessFragment molecular orbitalHigh-throughput screeningHit validationIsothermal titration calorimetryLigand efficiencyMolecular dockingNMRPromiscuityReactivityRescoringResynthesisSecondary assaysSurface plasmon resonanceThermal shift assayToxicityVirtual screening

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Area of Science:

  • Drug discovery and development
  • Biophysics
  • Computational chemistry

Background:

  • High-throughput screening (HTS) is crucial for identifying bioactive compounds.
  • Hit validation and lead selection remain less standardized processes in drug discovery.

Purpose of the Study:

  • To outline a comprehensive strategy for validating hits from HTS campaigns.
  • To present diverse methods for assessing the quality of potential therapeutic compounds.

Main Methods:

  • Chemical assessment of hit compounds.
  • Application of computational approaches for hit evaluation.
  • Utilization of counter-screens to confirm target specificity.
  • Employing orthogonal biophysical assays such as NMR, SPR, ITC, and thermal shift assays.

Main Results:

  • Demonstration of a multi-faceted approach to hit validation.
  • Integration of chemical, computational, and biophysical data for robust hit assessment.
  • Improved confidence in selecting high-quality hits for lead optimization.

Conclusions:

  • A robust validation strategy is essential for successful drug discovery post-HTS.
  • Combining diverse assay types enhances the reliability of hit validation.
  • This framework aids in advancing promising compounds towards therapeutic development.