10 research outputs found
Constant-pH MD Simulations of an Oleic Acid Bilayer
Oleic acid is a simple molecule with
an aliphatic chain and a carboxylic
group whose ionization and, consequently, intermolecular interactions
are strongly dependent on the solution pH. The titration curve of
these molecules was already obtained using different experimental
methods, which have shown the lipid bilayer assemblies to be stable
between pH 7.0 and 9.0. In this work, we take advantage of our recent
implementations of periodic boundary conditions in Poisson−Boltzmann
calculations and ionic strength treatment in simulations of charged
lipid bilayers, and we studied the ionization dependent behavior of
an oleic acid bilayer using a new extension of the stochastic titration
constant-pH MD method. With this new approach, we obtained titration
curves that are in good agreement with the experimental data. Also,
we were able to estimate the slope of the titration curve from charge
fluctuations, which is an important test of thermodynamic consistency
for the sampling in a constant-pH MD method. The simulations were
performed for ionizations up to 50%, because an experimentally observed
macroscopic transition to micelles occurs above this value. As previously
seen for a binary mixture of a zwitterionic and an anionic lipid,
we were able to reproduce experimental results with simulation boxes
usually far from neutrality. This observation further supports the
idea that a charged membrane strongly influences the ion distribution
in its vicinity and that neutrality is achieved significantly far
from the bilayer surface. The good results obtained with this extension
of the stochastic titration constant-pH MD method strongly supports
its usefulness to sample the coupling between configuration and protonation
in these types of biophysical systems. This method stands now as a
powerful tool to study more realistic lipid bilayers where pH can
influence both the lipids and the solutes interacting with them
Reversibility of Prion Misfolding: Insights from Constant-pH Molecular Dynamics Simulations
The prion protein (PrP) is the cause of a group of diseases
known
as transmissible spongiform encephalopathies (TSEs). Creutzfeldt–Jakob
disease and bovine spongiform encephalopathy are examples of TSEs.
Although the normal form of PrP (PrP<sup>C</sup>) is monomeric and
soluble, it can misfold into a pathogenic form (PrP<sup>Sc</sup>)
that has a high content of β-structure and can aggregate forming
amyloid fibrils. The mechanism of conversion of PrP<sup>C</sup> into
PrP<sup>Sc</sup> is not known but different triggers have been proposed.
It can be catalyzed by a PrP<sup>Sc</sup> sample, or it can be induced
by an external factor, such as low pH. The pH effect on the structure
of PrP was recently studied by computational methods [Campos et al. <i>J. Phys. Chem. B</i> <b>2010</b>, <i>114</i>, 12692–12700], and an evident trend of loss of helical structure
was observed with pH decrease, together with a gain of β-structures.
In particular, one simulation at pH 2 showed an evident misfolding
transition. The main goal of the present work was to study the effects
of a change in pH to 7 in several transient conformations of this
simulation, in order to draw some conclusions about the reversibility
of PrP misfolding. Although the most significant effect caused by
the change of pH to 7 was a global stabilization of the protein structure,
we could also observe that some conformational transitions induced
by pH 2 were reversible in many of our simulations, namely those started
from the early moments of the misfolding transition. This observation
is in good agreement with experiments showing that, even at pH as
low as 1.7, it is possible to revert the misfolding process [Bjorndahl
et al. <i>Biochemistry</i> <b>2011</b>, <i>50</i>, 1162–1173]
Protonation of DMPC in a Bilayer Environment Using a Linear Response Approximation
pH is a very important property,
influencing all important biomolecules
such as proteins, nucleic acids, and lipids. The effect of pH on proteins
has been the subject of many computational works in recent years.
However, the same has not been done for lipids, especially in their
most biologically relevant environment: the bilayer. A reason for
this is the inherent technical difficulty in dealing with this type
of periodic systems. Here, we tackle this problem by developing a
Poisson–Boltzmann-based method that takes in consideration
the periodic boundary conditions of lipid bilayer patches. We used
this approach with a linear response approximation to calculate the
p<i>K</i><sub>a</sub> value of a DMPC molecule when diluted
in zwitterionic lipids. Our results show that DMPC protonation only
becomes relevant at quite low pH values (2–3). However, when
it happens, it has a strong impact on lipid conformations, leading
to significant heterogeneity in the membrane
p<i>K</i><sub>a</sub> Values of Titrable Amino Acids at the Water/Membrane Interface
Peptides
and proteins protonation equilibrium is strongly influenced
by its surrounding media. Remarkably, until now, there have been no
quantitative and systematic studies reporting the p<i>K</i><sub>a</sub> shifts in the common titrable amino acids upon lipid
membrane insertion. Here, we applied our recently developed CpHMD-L
method to calculate the p<i>K</i><sub>a</sub> values of
titrable amino acid residues incorporated in Ala-based pentapeptides
at the water/membrane interface. We observed that membrane insertion
leads to desolvation and a clear stabilization of the neutral forms,
and we quantified the increases/decreases of the p<i>K</i><sub>a</sub> values in the anionic/cationic residues along the membrane
normal. This work highlights the importance of properly modeling the
protonation equilibrium in peptides and proteins interacting with
membranes using molecular dynamics simulations
Constant-pH MD Simulations of DMPA/DMPC Lipid Bilayers
Current
constant-pH molecular dynamics (CpHMD) simulations provide
a proper treatment of pH effects on the structure and dynamics of
soluble biomolecules like peptides and proteins. However, addressing
such effects on lipid membrane assemblies has remained problematic
until now, despite the important role played by lipid ionization at
physiological pH in a plethora of biological processes. Modeling (de)protonation
events in these systems requires a proper consideration of the physicochemical
features of the membrane environment, including a sound treatment
of solution ions. Here, we apply our recent CpHMD-L method to the
study of pH effects on a 25% DMPA/DMPC bilayer membrane model, closely
reproducing the correct lipid phases of this system, namely, gel–fluid
coexistence at pH 4 and a fluid phase at pH 7. A significant transition
is observed for the membrane ionization and mechanical properties
at physiological pH, providing a molecular basis for the well-established
role of phosphatidic acid (PA) as a key player in the regulation of
many cellular events. Also, as reported experimentally, we observed
pH-induced PA–PA lipid aggregation at acidic pH. By including
the titration of anionic phospholipids, the current methodology makes
possible to simulate lipid bilayers with increased realism. To the
best of our knowledge, this is the first simulation study dealing
with a continuous phospholipid bilayer with pH titration of all constituent
lipids
Treatment of Ionic Strength in Biomolecular Simulations of Charged Lipid Bilayers
Biological membranes are complex
systems that have recently attracted
a significant scientific interest. Due to the presence of many different
anionic lipids, these membranes are usually negatively charged and
sensitive to pH. The protonation states of lipids and the ion distribution
close to the bilayer are two of the main challenges in biomolecular
simulations of these systems. These two problems have been circumvented
by using ionized (deprotonated) anionic lipids and enough counterions
to preserve the electroneutrality. In this work, we propose a method
based on the Poisson–Boltzmann equation to estimate the counterion
and co-ion concentration close to a lipid bilayer that avoids the
need for neutrality at this microscopic level. The estimated number
of ions was tested in molecular dynamics simulations of a 25% DMPA/DMPC
lipid bilayer at different ionization levels. Our results show that
the system neutralization represents an overestimation of the number
of counterions. Consequently, the resulting lipid bilayer becomes
too ordered and practically insensitive to ionization. On the other
hand, our proposed approach is able to correctly model the ionization
dependent isothermal phase transition of the bilayer observed experimentally.
Furthermore, our approach is not too computationally expensive and
can easily be used to model diverse charged biomolecular systems in
molecular dynamics simulations
Targeting Type 2 Diabetes with <i>C</i>‑Glucosyl Dihydrochalcones as Selective Sodium Glucose Co-Transporter 2 (SGLT2) Inhibitors: Synthesis and Biological Evaluation
Inhibiting
glucose reabsorption by sodium glucose co-transporter
proteins (SGLTs) in the kidneys is a relatively new strategy for treating
type 2 diabetes. Selective inhibition of SGLT2 over SGLT1 is critical
for minimizing adverse side effects associated with SGLT1 inhibition.
A library of <i>C</i>-glucosyl dihydrochalcones and their
dihydrochalcone and chalcone precursors was synthesized and tested
as SGLT1/SGLT2 inhibitors using a cell-based fluorescence assay of
glucose uptake. The most potent inhibitors of SGLT2 (IC<sub>50</sub> = 9–23 nM) were considerably weaker inhibitors of SGLT1 (IC<sub>50</sub> = 10–19 μM). They showed no effect on the sodium
independent GLUT family of glucose transporters, and the most potent
ones were not acutely toxic to cultured cells. The interaction of
a <i>C</i>-glucosyl dihydrochalcone with a POPC membrane
was modeled computationally, providing evidence that it is not a pan-assay
interference compound. These results point toward the discovery of
structures that are potent and highly selective inhibitors of SGLT2
Membrane-Induced p<i>K</i><sub>a</sub> Shifts in <i>wt</i>-pHLIP and Its L16H Variant
The pH (low) insertion peptides (pHLIPs)
is a family of peptides
that are able to insert into a lipid bilayer at acidic pH. The molecular
mechanism of pHLIPs insertion, folding, and stability in the membrane
at low pH is based on multiple protonation events, which are challenging
to study at the molecular level. More specifically, the relation between
the experimental p<i>K</i> of insertion (p<i>K</i><sup>exp</sup>) of pHLIPs and the p<i>K</i><sub>a</sub> of the key residues is yet to be clarified. We carried out a computational
study, complemented with new experimental data, and established the
influence of (de)protonation of titrable residues on the stability
of the peptide membrane-inserted state. Constant-pH molecular dynamics
simulations were employed to calculate the p<i>K</i><sub>a</sub> values of these residues along the membrane normal. In the <i>wt</i>-pHLIP, we identified Asp14 as the key residue for the
stability of the membrane-inserted state, and its p<i>K</i><sub>a</sub> value is strongly correlated with the experimental p<i>K</i><sup>exp</sup> measured in thermodynamics studies. Also,
in order to narrow down the pH range at which pHLIP is stable in the
membrane, we designed a new pHLIP variant, L16H, where Leu in the
16th position was replaced by a titrable His residue. Our results
showed that the L16H variant undergoes two transitions. The calculated
p<i>K</i><sub>a</sub> and experimentally observed p<i>K</i><sup>exp</sup> values are in good agreement. Two distinct
p<i>K</i><sup>exp</sup> values delimit a pH range where
the L16H peptide is stably inserted in the membrane, while, outside
this range, the membrane-inserted state is destabilized and the peptide
exits from the bilayer. pHLIP peptides have been successfully used
to target cancer cells for the delivery of diagnostics and therapeutic
agents to acidic tumors. The fine-tuning of the stability of the pHLIP
inserted state and its restriction to a narrow well-defined pH range
might allow the design of new peptides, able to discriminate between
tissues with different extracellular pH values
Insights on the Mechanism of Action of INH‑C<sub>10</sub> as an Antitubercular Prodrug
Tuberculosis
remains one of the top causes of death worldwide,
and combating its spread has been severely complicated by the emergence
of drug-resistance mutations, highlighting the need for more effective
drugs. Despite the resistance to isoniazid (INH) arising from mutations
in the <i>katG</i> gene encoding the catalase-peroxidase
KatG, most notably the S315T mutation, this compound is still one
of the most powerful first-line antitubercular drugs, suggesting further
pursuit of the development of tailored INH derivatives. The <i>N</i>′-acylated INH derivative with a long alkyl chain
(INH-C<sub>10</sub>) has been shown to be more effective than INH
against the S315T variant of <i>Mycobacterium tuberculosis</i>, but the molecular details of this activity enhancement are still
unknown. In this work, we show that INH <i>N</i>′-acylation
significantly reduces the rate of production of both isonicotinoyl
radical and isonicotinyl–NAD by wild type KatG, but not by
the S315T variant of KatG mirroring the <i>in vivo</i> effectiveness
of the compound. Restrained and unrestrained MD simulations of INH
and its derivatives at the water/membrane interface were performed
and showed a higher preference of INH-C<sub>10</sub> for the lipidic
phase combined with a significantly higher membrane permeability rate
(27.9 cm s<sup>–1</sup>), compared with INH-C<sub>2</sub> or
INH (3.8 and 1.3 cm s<sup>–1</sup>, respectively). Thus, we
propose that INH-C<sub>10</sub> is able to exhibit better minimum
inhibitory concentration (MIC) values against certain variants because
of its better ability to permeate through the lipid membrane, enhancing
its availability inside the cell. MIC values of INH and INH-C<sub>10</sub> against two additional KatG mutations (S315N and D735A)
revealed that some KatG variants are able to process INH faster than
INH-C<sub>10</sub> into an effective antitubercular form (<i>wt</i> and S315N), while others show similar reaction rates
(S315T and D735A). Altogether, our results highlight the potential
of increased INH lipophilicity for treating INH-resistant strains
Wittig Reaction: Domino Olefination and Stereoselectivity DFT Study. Synthesis of the Miharamycins’ Bicyclic Sugar Moiety
2-<i>O</i>-Acyl protected-d-<i>ribo</i>-3-uloses reacted with [(ethoxycarbonyl)methylene]triphenylphosphorane
in acetonitrile to afford regio- and stereoselectively 2-(<i>Z</i>)-alkenes in 10–60 min under microwave irradiation.
This domino reaction is proposed to proceed via tautomerization of
3-ulose to enol, acyl migration, tautomerization to the 3-<i>O</i>-acyl-2-ulose, and Wittig reaction. Alternatively, in chloroform,
regioselective 3-olefination of 2-<i>O</i>-pivaloyl-3-uloses
gave (<i>E</i>)-alkenes, key precursors for the miharamycins’
bicyclic sugar moiety