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Updated: Dec 22, 2025

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Advances in exploring activity cliffs.

Dagmar Stumpfe1, Huabin Hu1, Jürgen Bajorath2

  • 1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Endenicher Allee 19c, 53115, Bonn, Germany.

Journal of Computer-Aided Molecular Design
|May 6, 2020
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Summary
This summary is machine-generated.

Activity cliffs (ACs) are pairs of similar compounds with large potency differences, crucial for drug discovery. Analyzing ACs reveals key structure-activity relationship (SAR) insights and guides medicinal chemistry and chemoinformatics research.

Keywords:
Activity cliff conceptActivity data analysisCliff categoriesCompound potency differencesMolecular similarityStructure–activity relationships

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Area of Science:

  • Medicinal Chemistry
  • Chemoinformatics
  • Computational Chemistry

Background:

  • Activity cliffs (ACs) represent structurally similar compounds with significant potency variations against a biological target.
  • ACs are critical for understanding structure-activity relationship (SAR) discontinuities in drug design.
  • Systematic computational identification of ACs offers broader insights than traditional lead optimization series.

Purpose of the Study:

  • To define and explore the concept of activity cliffs (ACs).
  • To discuss the evolution of AC identification methods.
  • To highlight recent advancements in AC research.

Main Methods:

  • Defining ACs based on molecular similarity and potency differences.
  • Systematic computational identification of ACs across diverse compound datasets.
  • Analyzing characteristic features of ACs in various compound activity classes.

Main Results:

  • Large-scale AC analysis reveals common features across different compound classes.
  • Evolution of AC definition criteria reflects advancements in computational chemistry and data analysis.
  • ACs provide valuable information for medicinal chemistry and drug discovery.

Conclusions:

  • The AC concept is vital for both medicinal chemistry and chemoinformatics.
  • Understanding ACs aids in deciphering SAR discontinuities and optimizing drug candidates.
  • Continued research into ACs promises further breakthroughs in drug discovery and development.