Structural Insights on Hyp-Gly-Containing Peptides as Antiplatelet Compounds through Topomer CoMFA and CoMSIA...

Area of Science:

• Biochemistry
• Pharmacology
• Molecular Biology

Background:

• Collagen hydrolysates possess diverse bioactivities.
• Previous studies identified anti-thrombotic peptides from fish skin collagen.
• The structure-activity relationship of these peptides was previously unknown.

Purpose of the Study:

• To investigate the structure-activity relationship of antiplatelet peptides containing Hyp/Pro-Gly.
• To develop quantitative structure-activity relationship (QSAR) models for predicting peptide activity.
• To identify novel antiplatelet peptides for potential therapeutic use.

Main Methods:

• Performed 3D-QSAR studies (CoMFA, Topomer CoMFA, CoMSIA) on 23 peptides.
• Analyzed the influence of different fields (steric, hydrophobic, electrostatic, hydrogen bond donor/receptor) on activity.
• Validated QSAR models using predictive metrics (q², r², r²pred).

Main Results:

• Topomer CoMFA model showed high predictive power (q²=0.710, r²=0.826, r²pred=0.930).
• Hydroxyproline (Hyp) was identified as more critical than Proline (Pro) for antiplatelet activity.
• CoMSIA analysis highlighted the importance of steric, hydrophobic, and hydrogen bond receptor fields.
• The predicted peptide EOGE demonstrated significant antiplatelet and anti-thrombotic effects without bleeding risks.

Conclusions:

• OG-containing peptides show potential as effective medical foods for preventing thrombotic diseases.
• QSAR models provide a basis for designing novel antiplatelet peptides.
• The study elucidates the structural determinants of antiplatelet activity in collagen-derived peptides.