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1.
J Chem Phys ; 149(22): 224101, 2018 Dec 14.
Article in English | MEDLINE | ID: mdl-30553249

ABSTRACT

Computational strategies aimed at unveiling the thermodynamic and kinetic properties of G Protein-Coupled Receptor (GPCR) activation require extensive molecular dynamics simulations of the receptor embedded in an explicit lipid-water environment. A possible method for efficiently sampling the conformational space of such a complex system is metadynamics (MetaD) with path collective variables (CVs). Here, we applied well-tempered MetaD with path CVs to one of the few GPCRs for which both inactive and fully active experimental structures are available, the µ-opioid receptor (MOR), and assessed the ability of this enhanced sampling method to estimate the thermodynamic properties of receptor activation in line with those obtained by more computationally expensive adaptive sampling protocols. While n-body information theory analysis of these simulations confirmed that MetaD can efficiently characterize ligand-induced allosteric communication across the receptor, standard MetaD cannot be used directly to derive kinetic rates because transitions are accelerated by a bias potential. Applying the principle of Maximum Caliber (MaxCal) to the free-energy landscape of morphine-bound MOR reconstructed from MetaD, we obtained Markov state models that yield kinetic rates of MOR activation in agreement with those obtained by adaptive sampling. Taken together, these results suggest that the MetaD-MaxCal combination creates an efficient strategy for estimating the thermodynamic and kinetic properties of GPCR activation at an affordable computational cost.


Subject(s)
Receptors, Opioid, mu/chemistry , Thermodynamics , Kinetics , Molecular Dynamics Simulation , Morphine/chemistry
2.
Sci Rep ; 8(1): 7705, 2018 05 16.
Article in English | MEDLINE | ID: mdl-29769636

ABSTRACT

Various experimental and computational techniques have been employed over the past decade to provide structural and thermodynamic insights into G Protein-Coupled Receptor (GPCR) dimerization. Here, we use multiple microsecond-long, coarse-grained, biased and unbiased molecular dynamics simulations (a total of ~4 milliseconds) combined with multi-ensemble Markov state models to elucidate the kinetics of homodimerization of a prototypic GPCR, the µ-opioid receptor (MOR), embedded in a 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC)/cholesterol lipid bilayer. Analysis of these computations identifies kinetically distinct macrostates comprising several different short-lived dimeric configurations of either inactive or activated MOR. Calculated kinetic rates and fractions of dimers at different MOR concentrations suggest a negligible population of MOR homodimers at physiological concentrations, which is supported by acceptor photobleaching fluorescence resonance energy transfer (FRET) experiments. This study provides a rigorous, quantitative explanation for some conflicting experimental data on GPCR oligomerization.


Subject(s)
Cell Membrane/metabolism , Cholesterol/metabolism , Lipid Bilayers/metabolism , Phosphatidylcholines/metabolism , Protein Multimerization , Receptors, Opioid, mu/chemistry , Receptors, Opioid, mu/metabolism , Humans , Kinetics , Molecular Dynamics Simulation , Protein Conformation
3.
J Phys Chem B ; 119(42): 13237-51, 2015 Oct 22.
Article in English | MEDLINE | ID: mdl-26418575

ABSTRACT

Amino acid residues of unfolded peptides in water sample only a few basins in the Ramachandran plot, including prominent polyproline II-like (pPII) conformations. Dynamics of guest residues, X, in GXG peptides in water were recently reported to be dominated by pPII and ß-strand-like (ß) conformations, resulting in an enthalpy-entropy compensation at ∼300 K. Using molecular dynamics (MD) in explicit solvent, we here examine pPII and ß conformational ensembles of 15 guest residues in GXG peptides, quantify local orientation of water around their side chains through novel water orientation plots, and study their hydration and hydrogen bonding properties. We show that pPII and ß ensembles are characterized by distinct water orientations: pPII ensembles are associated with an increased population of water oriented in parallel to the side chain surface whereas ß ensembles exhibit more heterogeneous water orientations. The backbone hydration is significantly higher in pPII than in ß ensembles. Importantly, pPII to ß hydration differences and the solvent accessible surface area of Cß hydrogens both correlate with experimental pPII propensities. We propose that pPII conformations are stabilized by a local, hydrogen-bonded clathrate-like water structure and that residue-specific intrinsic pPII propensities reflect distinct abilities of side chains to template this water structure.


Subject(s)
Amino Acids/chemistry , Water/chemistry , In Vitro Techniques , Molecular Dynamics Simulation
4.
J Phys Chem B ; 117(14): 3689-706, 2013 Apr 11.
Article in English | MEDLINE | ID: mdl-23448349

ABSTRACT

Several lines of evidence now well establish that unfolded peptides in general, and alanine in specific, have an intrinsic preference for the polyproline II (pPII) conformation. Investigation of local order in the unfolded state is, however, complicated by experimental limitations and the inherent dynamics of the system, which has in some cases yielded inconsistent results from different types of experiments. One method of studying these systems is the use of short model peptides, and specifically short alanine peptides, known for predominantly sampling pPII structure in aqueous solution. Recently, He et al. ( J. Am. Chem. Soc. 2012 , 134 , 1571 - 1576 ) proposed that unblocked tripeptides may not be suitable models for studying conformational propensities in unfolded peptides due to the presence of end effect, that is, electrostatic interactions between investigated amino acid residues and terminal charges. To determine whether changing the protonation states of the N- and C-termini influence the conformational manifold of the central amino acid residue in tripeptides, we have examined the pH-dependence of unblocked trialanine and the conformational preferences of alanine in the alanine dipeptide. To this end, we measured and globally analyzed amide I' band profiles and NMR J-coupling constants. We described conformational distributions as the superposition of two-dimensional Gaussian distributions assignable to specific subspaces of the Ramachandran plot. Results show that the conformational ensemble of trialanine as a whole, and the pPII content (χpPII = 0.84) in particular, remains practically unaffected by changing the protonation state. We found that compared to trialanine, the alanine dipeptide has slightly lower pPII content (χpPII = 0.74) and an ensemble more reminiscent of the unblocked Gly-Ala-Gly model peptide. In addition, a two-state thermodynamic analysis of the conformational sensitive Δε(T) and (3)J(H(N)H(α))(T) data obtained from electronic circular dichroism and H NMR spectra indicate that the free energy landscape of trialanine is similar in all protonation states. MD simulations for the investigated peptides corroborate this notion and show further that the hydration shell around unblocked trialanine is unaffected by the protonation/deprotonation of the C-terminal group. In contrast, the alanine dipeptide shows a reduced water density around the central residue as well as a less ordered hydration shell, which decreases the pPII propensity and reduces the lifetime of sampled conformations.


Subject(s)
Dipeptides/chemistry , Oligopeptides/chemistry , Protons , Water/chemistry , Circular Dichroism , Hydrogen-Ion Concentration , Magnetic Resonance Spectroscopy , Molecular Dynamics Simulation , Peptides/chemistry , Protein Conformation , Protein Folding , Thermodynamics , Vibration
5.
J Mol Biol ; 425(12): 2260-75, 2013 Jun 26.
Article in English | MEDLINE | ID: mdl-23500806

ABSTRACT

In Alzheimer's disease (AD), amyloid ß-protein (Aß) self-assembles into toxic oligomers. Of the two predominant Aß alloforms, Aß1-40 and Aß1-42, the latter is particularly strongly linked to AD. N-terminally truncated and pyroglutamated Aß peptides were recently shown to seed Aß aggregation and contribute significantly to Aß-mediated toxicity, yet their folding and assembly were not explored computationally. Discrete molecular dynamics approach previously captured in vitro-derived distinct Aß1-40 and Aß1-42 oligomer size distributions and predicted that the more toxic Aß1-42 oligomers had more flexible and solvent-exposed N-termini than Aß1-40 oligomers. Here, we examined oligomer formation of Aß3-40, Aß3-42, Aß11-40, and Aß11-42 by the discrete molecular dynamics approach. The four N-terminally truncated peptides showed increased oligomerization propensity relative to the full-length peptides, consistent with in vitro findings. Conformations formed by Aß3-40/42 had significantly more flexible and solvent-exposed N-termini than Aß1-40/42 conformations. In contrast, in Aß11-40/42 conformations, the N-termini formed more contacts and were less accessible to the solvent. The compactness of the Aß11-40/42 conformations was in part facilitated by Val12. Two single amino acid substitutions that reduced and abolished hydrophobicity at position 12, respectively, resulted in a proportionally increased structural variability. Our results suggest that Aß11-40 and Aß11-42 oligomers might be less toxic than Aß1-40 and Aß1-42 oligomers and offer a plausible explanation for the experimentally observed increased toxicity of Aß3-40 and Aß3-42 and their pyroglutamated forms.


Subject(s)
Amyloid beta-Peptides/chemistry , Amyloid beta-Peptides/metabolism , Protein Multimerization , Models, Biological , Models, Chemical , Molecular Dynamics Simulation , Protein Binding , Protein Conformation
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