Thermodynamic binding properties of a novel umami octapeptide K1 ADEDSLA8 and its mutational variants p.A2G, p.D5E, and p.A2G + p.D5E (BMP) in complex with the umami receptor hT1R1/hT1R3

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Thermodynamic binding properties of a novel umami octapeptide
K
1
ADEDSLA
8
and its mutational variants p.A2G, p.D5E, and p.A2G +p.D5E
(BMP) in complex with the umami receptor hT1R1/hT1R3
Cenk A. Andac
a,**
, Cem ¨
Ozel
b,c
, Taha M. Rababah
d
, Ceren Kececiler-Emir
b
, Kevser K¨
oklü
e
,
Duygu Aydin Tekdas
¸
f
, Sevil Yücel
b,c,*
a
Department of Medical Pharmacology, School of Medicine, Yeditepe University, Istanbul 34755, Türkiye
b
Department of Bioengineering, Faculty of Chemical and Metallurgical Engineering, Yildiz Technical University, ˙
Istanbul 34210, Türkiye
c
Health Biotechnology Joint Research and Application Center of Excellence, Istanbul 34903, Türkiye
d
Department of Nutrition and Food Technology, Jordan University of Science and Technology, Irbid 22110, Jordan
e
Department of Mathematical Engineering, Yildiz Technical University, Davutpasa Campus, ˙
Istanbul 34220, Türkiye
f
Gebze Technical University, Technology Transfer Coordination Ofce, 41400 Gebze Türkiye
ARTICLE INFO
Keywords:
Umami peptide
Molecular docking
Molecular dynamics
T1R1/T1R3
MM-PBSA
Mutational afnity prediction (MAP)
ABSTRACT
Umami taste properties of a novel octameric peptide K
1
ADEDSLA
8
and its mutants p.A2G, p.D5E, and BMP
(KGDEESLA, beef meaty peptide) were assessed by molecular docking, and molecular dynamics (MD) (>1
μ
sec),
MM-PBSA, and Mutational Afnity Prediction (MAP) methods. 3D-structure of the human umami taste receptor
(hT1R1/hT1R3) was homology modeled and rened MD. Docking studies yielded three primary binding sites
(PBS) for K
1
ADEDSLA
8
and BMP, one on hT1R1 and two on hT1R3. Upto 1200 nsec of MD studies revealed that
K
1
ADEDSLA
8
binds only to Venus Flytrap Domains (VFTD) region of hT1R1 at high afnity (ΔG
o
= − 11.94 kcal/
mol), while BMP does not exhibit afnity towards hT1R1/hT1R3 in the absence of glutamate. MAP analysis for p.
A2G (ΔG
o
= 7.77 kcal/mol) and p.D5E (ΔG
o
= 2.88 kcal/mol) strongly suggest that A
2
and D
5
in
KA
2
DED
5
SLA increase the afnity and specicity of binding, posing great potential for the development of a
novel umami peptide in future studies.
1. Introduction
The sense of taste, which also plays an important role in food se-
lection, functions as a food perception system (Liu et al., 2016). Taste-
inducing molecules in the mouth bind to the taste receptors or ion-
channels distributed throughout the whole tongue and oro-pharyngeal
region, inducing intracellular signals rapidly transmitted to the brain
via the cranial nerves (Breslin & Spector, 2008; J. Zhang, Sun-
Waterhouse, et al., 2019).
Upon the discovery of special taste receptors, umami has been
scientically recognized as the fth taste to describe a meaty, broth-like,
or savory taste in 2002, alongside the other four basic tastes of sweet,
sour, salty, and bitter (Kurihara, 2015). The umami taste, isolated from
seaweed broth, was rst discovered by Kikunae Ikeda in 1908
(Lindemann, 2002;Zhang et al., 2017). Not only does the taste of umami
have a taste of its own, but it can also strengthen (salty and sweet) or
lighten (sour and bitter) other tastes (Dang et al., 2014). Monosodium
glutamate (MSG) was the rst molecule described to have an umami
taste. It was then discovered that certain purine-based ribonucleotides,
such as guanosine monophosphate (GMP) and inosine monophosphate
(IMP), have synergistic impacts with MSG and can greatly potentiate the
umami taste intensity (Zhang et al., 2017). The taste of umami has been
of particular interest to the food industry as it plays a crucial role in
accepting taste preferences and consuming many foods (Li et al., 2020).
Umami taste substances have many functions in the human body.
Umami taste substances stimulate pancreatic exocrine secretion, gastric
juice, gastric acid, and insulin release. Because of these effects, it is
known to increase digestion and reduce the dissatisfaction of foods
(Niijima et al., 1990).
Umami taste receptors are class-C G-protein-coupled receptors
* Corresponding author at: Department of Bioengineering, Faculty of Chemical and Metallurgical Engineering, Yildiz Technical University, ˙
Istanbul, Türkiye.
** Corresponding author at: Department of Medical Pharmacology, School of Medicine, Yeditepe University, Istanbul 34755, Türkiye.
E-mail addresses: cenk_andac@yahoo.com (C.A. Andac), cemozel@yildiz.edu.tr (C. ¨
Ozel), syucel@yildiz.edu.tr (S. Yücel).
Contents lists available at ScienceDirect
Food Chemistry
journal homepage: www.elsevier.com/locate/foodchem
https://doi.org/10.1016/j.foodchem.2025.142966
Received 29 August 2024; Received in revised form 16 January 2025; Accepted 16 January 2025
Food Chemistry 473 (2025) 142966
Available online 22 January 2025
0308-8146/© 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
(GPCRs). This family of taste receptors is not only available throughout
the tongue but also available all over the digestive tract and upper
respiratory tract, indicating their physiological functions in taste and
taste perception. (Davaasuren et al., 2015). The GPCR family has an
extracellular Venus Flytrap Domain (VFTD) that is recognized as a taste
recognition region for the receptor. Functional expression and mouse
gene knockout studies reported that T1R1/T1R3 is considered to be the
main receptor for the umami taste (Chaudhari et al., 2009; Li, 2009;
Zhao et al., 2003). Although a complete X-ray structure of the T1R1/
T1R3 heterodimer receptor is currently unavailable, homology-modeled
structures of the heterodimer receptor have been used in many molec-
ular docking studies (Dang et al., 2014; Li, 2009; Li et al., 2002; X. Yu
et al., 2017; Zhu et al., 2021).
In addition to glutamate, certain ribonucleotides and L-aminoacids
as well as peptides and peptidomimetics were found to evoke umami
taste. Thus, there has been increasing interest in the development of
novel umami peptides (Winkel et al., 2008). It appears in literature that
an octapeptide KGDEESLA (Lys-Gly-Asp-Glu-Glu-Ser-Leu-Ala), isolated
in 1978 from papain-treated beef gravy, was reported for the rst time to
possess an umami taste, which was then named as Beef Umami Peptide
(BMP) (Yamasaki & Maekawa, 1978). Then, an ever-increasing number
of peptides have been discovered. For instance, an enzymatic hydroly-
sate of deamidated wheat-gluten was shown to give an MSG-like umami
taste. Long linear peptides are known to have more intense umami tastes
than short-chain di-/tri-peptides (Zhang, Zhao, et al., 2019) Thus far,
more than 100 synthesized umami peptides have been reported, which
were classied based on the number of amino acid residues (Li et al.,
2020; Zhang, Sun-Waterhouse, et al., 2019) Di-/tri-peptides with umami
taste contain glutamic acid (Glu) and/or aspartic acid (Asp) as well as
hydrophilic or hydrophobic amino acids (Iwaniak et al., 2019; Zhang,
Sun-Waterhouse, et al., 2019). A number of umami and/or umami taste-
enhancing peptides/peptidomimetics have been identied in many
foods with known umami taste, including cheese, onion, soy sauce, etc.
Long peptides do not seem to benet most from hydrophilic amino acid
abundance in terms of umami avor. In addition to hydrophilic and
hydrophobic amino acids, one of the key fundamental components of
umami taste is the spatial structure of peptides. However, amino acid
sequence and conformation continue to play essential roles in taste
perception (Zhang, Sun-Waterhouse, et al., 2019). As a result, amino
acids may contribute to the avor of peptides regardless of their unique
taste. Dang et al. (2019) carried out taste studies on peptides by elec-
tronic tongue and reported that the tri-peptide DED possesses a better
umami taste than the tri-peptide DEE, while the authors were unable to
make a clear correlation between peptide aa sequences and tastes (Dang,
Hao, Zhou, et al., 2019).
Docking computations allow to predict molecular interactions be-
tween a ligand and the binding site of a protein. Although the most
recent docking tools have advanced towards predicting bound con-
formers of ligands in relatively close similarity to their x-ray co-
ordinates, computationally determined bound conformers still need to
be validated by molecular dynamics (MD) computations using advanced
forceelds (Berendsen, 1999; Sousa et al., 2006; Ziada et al., 2018).
Previously, several molecular docking studies have been carried out to
assess molecular interactions between umami peptides and the umami
receptor. Dang, Hao, Cao, et al. (2019) determined by docking studies
that T1R3 may be involved in binding umami peptides. On the contrary,
Liu et al. (2019) (Liu et al., 2019) determined by MD studies that T1R1
possesses high-afnity binding sites for small molecules and the peptide
BMP, leading to controversial discussions on in silico results by Dang
et al. (Dang, Hao, Cao, et al., 2019) and Liu et al. (Liu et al., 2019).
More recently, Yu et al. (2021) (Yu et al., 2021) implemented MD
studies for a short time (10 nsec) on interactions between 36 umami
peptides (including BMP) and the umami receptor, T1R1/T1R3. The
authors reported that T1R1 plays a crucial role in the sensation of the
umami taste. As mentioned before, Liu et al. (2019) (Liu et al., 2019)
conducted 100 nsec of MD studies with two replicas of trajectories and
reported that T1R1 possesses two adjacent binding sites for ligand
binding, which can be concurrently occupied by two ligands or sepa-
rately by a single ligand depending on the size of ligands. However, a
100-nsec MD simulation is not sufcient for such a large protein system
to reach an equilibrium state. Furthermore, even if an equilibrium state
is reached, additional production run MD simulations with three replicas
of trajectories are required to meaningfully assess the trajectories
(Knapp et al., 2018). To shed light on more meaningful and detailed
dynamic structures of T1R1/T1R3 in complex with the umami peptides,
KADEDSLA and BMP (KGDEESLA), we implemented three replicas of
200 nsec (600 nsec in total) of production MD simulations using the last
snapshot coordinates of an equilibrium MD simulation for 1000 nsec (1
μ
sec).
Thermodynamic binding characteristics of a novel octameric peptide
with an aa sequence of K
1
ADEDSLA
8
(abbreviated KADEDSLA) were
investigated in this study. The peptide was optimally designed by
mutating the beef umami peptide (BMP, with an aa sequence of
K
1
GDEESLA
8
) at two distinct AA points where amino acids with com-
parable physical properties could be substituted. In this sense, G
2
(gly-
cin) of BMP was replaced with A (alanine), both being hydrophobic
amino acid residues, and E
5
(glutamate) of BMP was swapped out for D
(aspartate), both representing negatively charged amino acids, to
generate KA
2
DED
5
SLA.
Lastly, the p.A2G, p.D5E, and p.A2G +p.D5E (BMP) peptide afn-
ities towards possible binding sites of the umami receptor T1R1/T1R3
were studied in silico by MM-PBSA (Molecular Mechanics-Poisson
Boltzmann) (Andac et al., 2021) and MAP (Mutational Afnity Predic-
tion) methods using three independent MD production trajectories (200
nsec each) of KADEDSLA in complex with T1R1/T1R3 using the last
snapshot coordinates of an equilibrium MD simulation for 1
μ
sec.
2. Materials and methods
2.1. Methods
2.1.1. Homology modeling and molecular docking
Structure coordinates for the extracellular Venus ytrap domains
(VFTD) of the hT1R1/hT1R3 complex were homology modeled by
Modeller v9.1 (licensed Linux version) (Martí-Renom et al., 2000) using
the X-ray coordinates of the T1R3 domain of the medaka sh taste re-
ceptor (PDB ID: 5X2O, chain B) (Nuemket et al., 2017), whose sequence
(aa residues 62490) exhibits sequence identities of 35.60 % and 36.82
% with the extracellular domains of hT1R1 (Uniprot ID: Q7RTX1) and
hT1R3 (Uniprot ID: Q7RTX0), respectively; see supplementary Fig. S1.
Indeed, the hT1R1/hT1R3 receptor exists as a heterogenic dimer, whose
dimeric coordinates were determined by superposing the modeled
structure of hT1R1 and hT1R3 with the X-ray coordinates of the T1R2a
domain (chain A) and T1R3 domain (chain B) of the medaka sh taste
receptor (PDB ID: 5X2O) (Nuemket et al., 2017).
Homology-modeled coordinates of T1R1/T1R3 were further rened
by implicit solvent MD simulation. The addition of the cytine disulde
bond and parameterization of the initial structures were implemented
by the LEaP module of Amber v18 (Case, Belfon, Ben-Shalom, Brozell,
Cerutti, Cheatham, et al., 2020) using the AMBER.ff19SB force eld
(Tian et al., 2020) in a Generalized Born (GB) implicit water environ-
ment (Nguyen et al., 2013). Cystine (CYX) disulfuric bonds were
generated for T1R1 (between CYX residues 47:87, 333:339, 345:348,
387:392) and T1R3 (between CYX residues 42:83, 350:353, 390:395).
The homology-modeled coordinates of hT1R1/hT1R3 were initially
minimized over 10,000 steps by the pmemd module of AMBER v18
(Case, Belfon, Ben-Shalom, Brozell, Cerutti, Cheatham, et al., 2020),
followed by a temperature equilibration phase at 300 K over 20 psec (at
2 fsec time steps over 10 K iterations) using an innite cutoff for elec-
trostatic interactions (cut =999) and a Langevin thermostat with a
collision frequency γ =1.0 psec
1
. Temperature-equilibrated co-
ordinates were then used for 45 nsec (at 3 fsec time steps over 15 M
C.A. Andac et al.
Food Chemistry 473 (2025) 142966
2
Thermodynamic binding properties of a novel umami octapeptide K1 ADEDSLA8 and its mutational variants p.A2G, p.D5E, and p.A2G + p.D5E (BMP) in complex with the umami receptor hT1R1/hT1R3.pdf

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