Methods for Discovering and Targeting Druggable Protein-Protein Interfaces and Their Application to Repurposing

Area of Science:

• Biochemistry
• Pharmacology
• Computational Biology

Background:

• Drug repurposing accelerates therapeutic development by utilizing approved drugs for new indications.
• Identifying novel protein targets for existing drugs remains a significant challenge in drug discovery.
• Protein-protein interaction (PPI) networks offer a promising avenue for uncovering new drug targets.

Purpose of the Study:

• To review protein-protein interaction (PPI) interface-targeting strategies for drug repurposing.
• To highlight the importance of hot spot residue and hot region prediction in identifying drug targets.
• To present common methods for identifying drug off-targets within PPI networks.

Main Methods:

• Review of literature on PPI interface-targeting strategies for drug repurposing.
• Discussion of hot spot residue and hot region prediction methods.
• Illustration of PPI network analysis techniques for off-target identification.
• Compilation of online resources for hot spot prediction, binding pocket identification, and interface clustering.

Main Results:

• Protein interface analysis, including hot spot prediction, is crucial for effective drug repurposing.
• Computational methods can identify potential drug off-targets within complex PPI networks.
• Available online resources facilitate the prediction of key interaction sites and clustering of interfaces.
• Case studies demonstrate the practical significance of targeting protein interfaces and hot spots.

Conclusions:

• Targeting protein-protein interaction interfaces, particularly hot spots, is a viable strategy for drug repurposing.
• Computational tools and online resources enhance the identification of new therapeutic applications for existing drugs.
• Further improvements in PPI interface analysis will advance polypharmacology and drug discovery efforts.