Informatics and modeling challenges in fragment-based drug discovery

Area of Science:

• Drug discovery and development
• Computational chemistry
• Medicinal chemistry

Background:

• Fragment-based drug discovery (FBDD) is a successful structure-based approach.
• FBDD has led to drug candidates entering clinical trials.
• Significant progress has been made in FBDD methodologies.

Purpose of the Study:

• To review recent advancements in fragment-based drug discovery.
• To highlight the role of informatics and modeling in FBDD.
• To identify areas for future development in FBDD.

Main Methods:

• Literature review of recent developments in FBDD.
• Emphasis on informatics and computational modeling techniques.
• Analysis of strategies for fragment library design and evolution.

Main Results:

• FBDD is a validated strategy for hit generation and lead optimization.
• Informatics and modeling are crucial for FBDD success.
• Several FBDD projects have yielded clinical candidates.

Conclusions:

• Continued innovation in fragment libraries and binding mode prediction is needed.
• FBDD offers significant opportunities for novel drug development.
• Integration of computational tools enhances FBDD efficiency.