Recent Advances in Scaffold Hopping.

Area of Science:

• Medicinal Chemistry
• Computational Drug Discovery
• Cheminformatics

Background:

• Scaffold hopping is a key strategy in medicinal chemistry for discovering novel active compounds by identifying molecules with different core structures.
• Existing computational approaches, while effective, have limitations and are continuously evolving.

Purpose of the Study:

• To review the foundational principles and limitations of scaffold hopping methodologies.
• To analyze recent advancements in computational scaffold hopping techniques.
• To explore emerging trends in scaffold-based drug discovery.

Main Methods:

• Analysis of existing literature on scaffold hopping approaches.
• Review of computational methods, including pharmacophore-based and scaffold-centric techniques.
• Examination of strategies for exploring relationships between chemical structures, scaffolds, and biological activity.

Main Results:

• Pharmacophore methods are conceptually dominant but diverse computational approaches are successfully employed for scaffold hopping.
• Scaffold hopping calculations are increasingly performed at the scaffold level, abstracting from specific chemical structures.
• Global exploration of compound-scaffold-activity relationships is emerging beyond single applications.

Conclusions:

• Computational scaffold hopping benefits from novel scaffold concepts and methods guiding searches toward potent compound scaffolds.
• Future developments should focus on integrating new scaffold ideas and predictive search capabilities.
• Scaffold hopping remains a vital and advancing area in computer-aided drug design.