Visualized and Quantitative Conformational Analysis of Peptidomimetics.

Area of Science:

• Medicinal Chemistry
• Computational Chemistry
• Drug Discovery

Background:

• Protein-protein interactions (PPIs) are crucial biological targets for drug development.
• Peptidomimetics offer a promising strategy for modulating PPIs.
• Existing methods lack quantitative evaluation of structural peptidomimetics based on side-chain mimicry.

Purpose of the Study:

• To develop quantitative and visual methods for evaluating structural peptidomimetics.
• To assess the similarity between peptide motifs and peptidomimetic molecules.
• To facilitate the rational design of novel peptidomimetic scaffolds.

Main Methods:

• Development of peptide conformation distribution (PCD) plot for alignment-free analysis.
• Development of peptidomimetic analysis (PMA) map for alignment-based analysis.
• Focus on mimicking side-chain Cα-Cβ bonds rather than traditional Ramachandran angles.

Main Results:

• PCD plot and PMA map provide comprehensive and quantitative evaluation of peptidomimetics.
• Analysis confirmed scaffold 12 as an effective α-helix mimetic.
• Demonstrated precise spatial positioning of side-chain functional groups by the mimetic.

Conclusions:

• PCD plots and PMA maps are valuable tools for evaluating peptidomimetics.
• These methods aid in the rational design of new peptidomimetic scaffolds.
• The developed methods enhance the drug discovery process for PPI targets.