Key result
3D-QSAR and molecular docking simulations of ACE inhibitory tri-peptides provided insights into their binding modes and mechanism of action to aid in designing more potent tri-peptides.
This computational study provides theoretical insights into the binding mechanisms of ACE inhibitory tri-peptides, which may aid in the design of more potent ACE inhibitors.
Offers theoretical basis for tri-peptide ACE inhibitor design; leaves open in vivo efficacy and clinical translation.
= 0.6969) models were better than the other alignment-based models. In addition, molecular docking studies were carried out to predict the binding modes of the peptides to ACE. The peptide-enzyme interactions were consistent with the derived 3D contour maps. Overall, the insights gained from this study would offer theoretical references for understanding the mechanism of action of tri-peptides when binding to ACE and aid in the design of more potent tri-peptides.
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Wang et al. (2020) studied this question. ACE inhibitory tri-peptides was evaluated on Binding modes and peptide-enzyme interactions. 3D-QSAR and molecular docking simulations of ACE inhibitory tri-peptides provided insights into their binding modes and mechanism of action to aid in designing more potent tri-peptides.
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