Evolving Concept of Activity Cliffs

Area of Science:

• Medicinal Chemistry
• Computational Chemistry
• Drug Discovery

Background:

• Activity cliffs (ACs) represent structurally similar compounds with significant potency variations against the same target.
• ACs highlight critical chemical modifications influencing biological activity, making them vital for SAR analysis.
• Understanding ACs is essential for effective compound optimization in drug discovery.

Purpose of the Study:

• To review the evolution and refinement of the activity cliffs concept.
• To emphasize novel analysis schemes and findings for better AC understanding.
• To explore systematic computational identification and SAR knowledge extraction from ACs.

Main Methods:

• Defining molecular similarity and potency difference criteria for AC assessment.
• Examining case-by-case and systematic approaches to AC identification.
• Reviewing advancements in computational representation and analysis of ACs.

Main Results:

• ACs provide deep insights into structure-activity relationships (SAR).
• Systematic computational methods enhance AC identification and analysis.
• Refined AC concepts and analysis schemes facilitate SAR knowledge extraction.

Conclusions:

• Activity cliffs are fundamental to understanding SAR and guiding drug optimization.
• Advanced computational strategies are key to systematic AC identification and analysis.
• Further research into ACs promises to unlock significant SAR knowledge for drug discovery.