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Updated: Jun 1, 2026

Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery
Published on: May 16, 2021
Molecular complexity and fragment-based drug discovery: ten years on
Andrew R Leach1, Michael M Hann
1Computational & Structural Chemistry, GlaxoSmithkline Research and Development, Gunnels Wood Road, Stevenage, Herts. SG1 2NY, United Kingdom.
This study reviews a molecular complexity model for predicting molecular interactions. Validation using screening data and its relevance to fragment-based drug discovery and chemical space sampling are discussed.
Area of Science:
- Computational chemistry
- Medicinal chemistry
Background:
- A simple model of molecular interactions was introduced over ten years ago.
- Molecular complexity is a key concept in understanding molecular interactions.
Purpose of the Study:
- To review the concept of molecular complexity within the framework of a previously introduced simple model of molecular interactions.
- To summarize efforts validating this model using screening data.
- To discuss the relationship between the complexity model, chemical space sampling, and fragment-based drug discovery.
Main Methods:
- Review of the molecular complexity model.
- Summary of validation efforts using screening data.
- Discussion of theoretical concepts.
Main Results:
- The study reviews the validation of a simple molecular interaction model.
- The relationship between molecular complexity, chemical space sampling, and fragment-based drug discovery is explored.
Conclusions:
- The reviewed molecular complexity model provides a framework for understanding molecular interactions.
- The model's concepts are relevant to optimizing chemical space sampling and advancing fragment-based drug discovery.
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