Potent angiotensin-converting enzyme inhibitory tripeptides identified by a computer-based approach

J Mol Graph Model. 2014 Sep:53:206-211. doi: 10.1016/j.jmgm.2014.08.002. Epub 2014 Aug 23.

Abstract

Currently, peptides and peptidomimetics are the main focus in attempts to identify inhibitors of angiotensin-converting enzyme (ACE), the dipeptidyl carboxypeptidase that causes blood vessels to constrict and blood pressure to increase. This study was conducted to identify the most potent ACE-inhibitory tripeptides with a proline C-terminus, using a novel three-step (tautomerization-docking-ADME simulation) virtual screening process and in vitro assays. Sixteen candidates were identified, and their IC50 values ranged from 5.6 to 274.4μM. ACE inhibition activity for 14 of the 16 tripeptides was reported for the first time. We also found that changing from the L-form to the D-form of the amino acid at the amino and carboxyl termini resulted in a decrease of inhibition, but a greater decrease was observed for C-terminal changes. With low IC50 values and high-predicted bioavailability, the peptides identified by our protocol are comparable in terms of ACE-inhibition to those derived from costly and time-consuming wet screening. Our in vitro and docking results showed that the configuration of the C-terminus is a critical parameter contributing to the inhibitory activity of tripeptides with proline at this position. These findings will contribute to the use of simulation tools for rational drug design, especially for ACE inhibitors.

Keywords: ACE inhibition; ADME prediction; Docking; Hypotensive peptides; Rational design.

MeSH terms

  • Amino Acid Sequence
  • Angiotensin-Converting Enzyme Inhibitors / chemistry*
  • Catalytic Domain
  • Drug Evaluation, Preclinical
  • Hydrogen Bonding
  • Molecular Docking Simulation
  • Oligopeptides / chemistry*
  • Peptidyl-Dipeptidase A / chemistry*
  • Protein Binding

Substances

  • Angiotensin-Converting Enzyme Inhibitors
  • Oligopeptides
  • Peptidyl-Dipeptidase A