Journal of Molecular Graphics and Modelling 53 (2014) 206–211
Contents lists available at ScienceDirect
Journal of Molecular Graphics and Modelling
j ourna l h om epa ge: www.elsevier.com/locate/JMGM
Potent angiotensin-converting enzyme inhibitory tripeptides
identified by a computer-based approach
Tran Hai-Bang, Kuniyoshi Shimizu
∗
Faculty of Agriculture, Kyushu University, Fukuoka, Japan
a r t i c l e i n f o
Article history:
Accepted 13 August 2014
Available online 23 August 2014
Keywords:
ACE inhibition
Hypotensive peptides
Docking
Rational design
ADME prediction
a b s t r a c t
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 con-
strict 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 simu-
lation) virtual screening process and in vitro assays. Sixteen candidates were identified, and their IC
50
values ranged from 5.6 to 274.4 M. 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 IC
50
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 find-
ings will contribute to the use of simulation tools for rational drug design, especially for ACE inhibitors.
© 2014 Elsevier Inc. All rights reserved.
1. Introduction
One of the most commonly used antihypertensive therapies is
the inhibition of angiotensin-converting enzyme (ACE), the dipep-
tidyl carboxypeptidase that causes blood vessels to constrict and
blood pressure to increase [1]. Since the discovery of the first ACE
peptide inhibitor (from a viper’s venom), significant efforts have
been made to develop ACE inhibitors by both synthetic and nature-
derived approaches. The identification of ACE inhibitor candidates
has involved a costly and time-consuming process of screening and
activity testing. In this context, high-throughput screening (HTS),
in which large libraries of synthetic and natural compounds are
subjected to bioassays [2], seems to be a solution. However, the
two drawbacks of the HTS approach are the low hit rates of active
compounds and incomplete information about the biological target
features [3].
Recently, the use of computers for evaluating the bioactivi-
ties of large compound libraries against a target structure, known
∗
Corresponding author at: Faculty of Agriculture, Kyushu University, 6-10-1
Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan. Tel.: +81 92 642 3002;
fax: +81 92 642 3002.
E-mail address: shimizu@agr.kyushu-u.ac.jp (K. Shimizu).
as “virtual screening” [4], has been facilitated by the elucidation of
protein structures by X-ray crystallography and the development
of simulation software. In virtual screening, docking is a helpful
tool for predicting the optimal pose and binding affinity of small
molecules (ligands) when they bind to a target protein (receptor)
to form a stable complex. Docking tools can also be used to iden-
tify potential candidates at a specified activity from a library of
thousands of (or even more) compounds or to determine a lead
structure by optimizing the potential candidates in the library [5].
In the field of ACE inhibition, peptides and peptidomimetics are
the dominant structures, as most of the drugs currently used for
ACE inhibition therapy are peptide-like compounds. Peptides have
been reported with low oral bioavailability and intestinal absorp-
tion [6], but many studies (both in vivo and placebo-controlled
trials) have shown the hypotensive effect of different peptides on
rats and humans [7–13]. For hypotensive peptides, proline at the
C-terminus of peptides was proven to be more potent than other
naturally occurring amino acids [14]. The presence of proline and
proline-like moieties in the structures of antihypertensive drugs
and many ACE inhibitor peptides demonstrates the vital role of this
moiety in ACE-inhibitory agents.
There is virtually no absorption for peptide sequences with
more than four amino acids, whereas di- and tripeptides have been
demonstrated to be actively transported by many oligopeptide
http://dx.doi.org/10.1016/j.jmgm.2014.08.002
1093-3263/© 2014 Elsevier Inc. All rights reserved.