Peptidomimetics design and characterization: Bridging experimental and computer-based approaches

Area of Science:

• Medicinal Chemistry
• Drug Discovery
• Biochemistry

Background:

• Peptidomimetics mimic peptide biological activity with enhanced drug-like properties.
• They offer advantages over native peptides, including improved delivery, cell penetration, target specificity, and protease resistance.
• Peptidomimetics are crucial for addressing protein-protein interactions (PPIs) implicated in various diseases.

Purpose of the Study:

• To provide a comprehensive overview of peptidomimetics in drug design.
• To explore their role in pathologies, chemical strategies, and characterization methodologies.
• To highlight their potential in revolutionizing therapeutic approaches and precision drug discovery.

Main Methods:

• Utilizing structural biology and computational methods (e.g., molecular dynamics simulations) for rational design.
• Employing machine learning algorithms for accelerated protein structure prediction.
• Conducting experimental validation through spectroscopic, biophysical, and biochemical assays.

Main Results:

• Peptidomimetics demonstrate significant potential in treating diverse diseases like cancer and neurodegenerative disorders.
• Their tailored constrained structures are effective in targeting disturbed protein-protein interactions.
• Numerous peptidomimetics are currently in clinical trials or development.

Conclusions:

• Peptidomimetics represent a frontier in drug design, particularly for targeting PPIs.
• Integrated computational and experimental approaches facilitate efficient peptidomimetic development.
• The growing pharmaceutical interest underscores their promise for a new era of precision therapeutics.