The Structure of Aβ42 C-Terminal Fragments Probed by a Combined Experimental and Theoretical Study

The C-terminus of amyloid β-protein (Aβ) 42 plays an important role in this protein's oligomerization and may therefore be a good therapeutic target for the treatment of Alzheimer's disease. Certain C-terminal fragments (CTFs) of Aβ42 have been shown to disrupt oligomerization and to strongly inhibit Aβ42-induced neurotoxicity. Here we study the structures of selected CTFs [Aβ(x-42); x = 29-31, 39] using replica exchange molecular dynamics simulations and ion mobility mass spectrometry. Our simulations in explicit solvent reveal that the CTFs adopt a metastable β-structure: β-hairpin for Aβ(x-42) (x = 29-31) and extended β-strand for Aβ(39-42). The β-hairpin of Aβ(30-42) is converted into a turn-coil conformation when the last two hydrophobic residues are removed, suggesting that I41 and A42 are critical in stabilizing the β-hairpin in Aβ42-derived CTFs. The importance of solvent in determining the structure of the CTFs is further highlighted in ion mobility mass spectrometry experiments and solvent-free replica exchange molecular dynamics simulations. A comparison between structures with solvent and structures without solvent reveals that hydrophobic interactions are critical for the formation of β-hairpin. The possible role played by the CTFs in disrupting oligomerization is discussed.     

Molecular Basis for the Structural Stability of an Enclosed β-Barrel Loop

We present molecular dynamics simulation studies of the structural stability of an enclosed loop in the β domain of the Escherichia coli O157:H7 autotransporter EspP. Our investigation revealed that, in addition to its excellent resistance to thermal perturbations, EspP loop 5 (L5) also has remarkable mechanical stability against pulling forces along the membrane norm. These findings are consistent with the experimental report that EspP L5 helps to maintain the permeability barrier in the outer membrane. In contrast to the major secondary structure elements of globular proteins such as ubiquitin, whose resistance to thermal and mechanical perturbations depends mainly on backbone hydrogen bonds and hydrophobic interactions, the structural stability of EspP L5 can be attributed mainly to geometric constraints and side-chain interactions dominated by hydrogen bonds. Examination of B-factors from available high-resolution structures of membrane-embedded β barrels indicates that most of the enclosed loops have stable structures. This finding suggests that loops stabilized by geometric constraints and side-chain interactions might be used more generally to restrict β-barrel channels for various functional purposes.     

Hydrophobic cooperativity as a mechanism for amyloid nucleation

The kinetics of amyloid fibril formation are in most cases explained by classical nucleation theory, yet the mechanisms behind nucleation are not well understood. We show using molecular dynamics simulations that the hydrophobic cooperativity in the self-association of the model amyloidogenic peptide STVIYE is sufficient to allow for nucleation-dependent polymerization with a pentamer critical nucleus. The role of electrostatics was also investigated. Novel considerations of the electrostatic solvation energy using the Born-Onsager equation are put forth to rationalize the aggregation of charged peptides and provide new insight into the energetic differences between parallel and antiparallel beta-sheets. Together these results help explain the influence of molecular charge in the class of fibril-forming hexapeptides recently designed by Serrano and collaborators.     

The Alzheimer's peptides Abeta40 and 42 adopt distinct conformations in water: a combined MD / NMR study

The role of peptides Abeta40 and Abeta42 in the early pathogenesis of Alzheimer's disease (AD) is frequently emphasized in the literature. It is known that Abeta42 is more prone to aggregation than Abeta40, even though they differ in only two (IA) amino acid residues at the C-terminal end. A direct comparison of the ensembles of conformations adopted by the monomers in solution has been limited by the inherent flexibility of the unfolded peptides. Here, we characterize the conformations of Abeta40 and Abeta42 in water by using a combination of molecular dynamics (MD) and measured scalar (3)J(HNHalpha) data from NMR experiments. We perform replica exchange MD (REMD) simulations and find that classical forcefields reproduce the NMR data quantitatively when the sampling is extended to the microseconds time-scale. Using the quantitative agreement of the NMR data as a validation of the model, we proceed to compare the conformational ensembles of the Abeta40 and Abeta42 peptide monomers. Our analysis confirms the existence of structured regions within the otherwise flexible Abeta peptides. We find that the C terminus of Abeta42 is more structured than that of Abeta40. The formation of a beta-hairpin in the sequence (31)IIGLMVGGVVIA involving short strands at residues 31-34 and 38-41 (in bold) reduces the C-terminal flexibility of the Abeta42 peptide and may be responsible for the higher propensity of this peptide to form amyloids.     

Substrate tunnels in enzymes: Structure–function relationships and computational methodology

In enzymes, the active site is the location where incoming substrates are chemically converted to products. In some enzymes, this site is deeply buried within the core of the protein, and, in order to access the active site, substrates must pass through the body of the protein via a tunnel. In many systems, these tunnels act as filters and have been found to influence both substrate specificity and catalytic mechanism. Identifying and understanding how these tunnels exert such control has been of growing interest over the past several years because of implications in fields such as protein engineering and drug design. This growing interest has spurred the development of several computational methods to identify and analyze tunnels and how ligands migrate through these tunnels. The goal of this review is to outline how tunnels influence substrate specificity and catalytic efficiency in enzymes with buried active sites and to provide a brief summary of the computational tools used to identify and evaluate these tunnels. Proteins 2015; 83:599–611. © 2015 Wiley Periodicals, Inc.     

Structural Reorganization of α-Synuclein at Low pH Observed by NMR and REMD Simulations

α-Synuclein is an intrinsically disordered protein that appears in aggregated forms in the brains of patients with Parkinson's disease. The conversion from monomer to aggregate is complex, and aggregation rates are sensitive to changes in amino acid sequence and environmental conditions. It has previously been observed that α-synuclein aggregates faster at low pH than at neutral pH. Here, we combine NMR spectroscopy and molecular simulations to characterize α-synuclein conformational ensembles at both neutral and low pH in order to understand how the altered charge distribution at low pH changes the structural properties of these ensembles and leads to an increase in aggregation rate. The N-terminus, which has a small positive charge at neutral pH due to a balance of positively and negatively charged amino acid residues, is very positively charged at low pH. Conversely, the acidic C-terminus is highly negatively charged at neutral pH and becomes essentially neutral and hydrophobic at low pH. Our NMR experiments and replica exchange molecular dynamics simulations indicate that there is a significant structural reorganization within the low-pH ensemble relative to that at neutral pH in terms of long-range contacts, hydrodynamic radius, and the amount of heterogeneity within the conformational ensembles. At neutral pH, there is a very heterogeneous ensemble with transient contacts between the N-terminus and the non-amyloid β component (NAC); however, at low pH, there is a more homogeneous ensemble that exhibits strong contacts between the NAC and the C-terminus. At both pH values, transient contacts between the N- and C-termini are observed, the NAC region shows similar exposure to solvent, and the entire protein shows similar propensities to secondary structure. Based on the comparison of the neutral- and low-pH conformational ensembles, we propose that exposure of the NAC region to solvent and the secondary-structure propensity are not factors that account for differences in propensity to aggregate in this context. Instead, the comparison of the neutral- and low-pH ensembles suggests that the change in long-range interactions between the low- and neutral-pH ensembles, the compaction of the C-terminal region at low pH, and the uneven distribution of charges across the sequence are key to faster aggregation.     

Stochastic Gating and Drug-Ribosome Interactions

Gentamicin is a potent antibiotic that is used in combination therapy for inhalation anthrax disease. The drug is also often used in therapy for methicillin-resistant Staphylococcusaureus. Gentamicin works by flipping a conformational switch on the ribosome, disrupting the reading head (i.e., 16S ribosomal decoding bases 1492-1493) used for decoding messenger RNA. We use explicit solvent all-atom molecular simulation to study the thermodynamics of the ribosomal decoding site and its interaction with gentamicin. The replica exchange molecular dynamics simulations used an aggregate sampling of 15 μs when summed over all replicas, allowing us to explicitly calculate the free-energy landscape, including a rigorous treatment of enthalpic and entropic effects. Here, we show that the decoding bases flip on a timescale faster than that of gentamicin binding, supporting a stochastic gating mechanism for antibiotic binding, rather than an induced-fit model where the bases only flip in the presence of a ligand. The study also allows us to explore the nonspecific binding landscape near the binding site and reveals that, rather than a two-state bound/unbound scenario, drug dissociation entails shuttling between many metastable local minima in the free-energy landscape. Special care is dedicated to validation of the obtained results, both by direct comparison to experiment and by estimation of simulation convergence.     

The unfolded state of the villin headpiece helical subdomain: computational studies of the role of locally stabilized structure

The 36 residue villin headpiece helical subdomain (HP36) is one of the fastest cooperatively folding proteins, folding on the microsecond timescale. HP36's simple three helix topology, fast folding and small size have made it an attractive model system for computational and experimental studies of protein folding. Recent experimental studies have explored the denatured state of HP36 using fragment analysis coupled with relatively low-resolution spectroscopic techniques. These studies have shown that there is apparently only a small tendency to form locally stabilized secondary structure. Here, we complement the experimental studies by using replica exchange molecular dynamics with explicit solvent to investigate the structural features of these peptide models of unfolded HP36. To ensure convergence, two sets of simulations for each fragment were performed with different initial structures, and simulations were continued until these generated very similar final ensembles. These simulations reveal low populations of native-like structure and early folding events that cannot be resolved by experiment. For each fragment, calculated J-coupling constants and helical propensities are in good agreement with experimental trends. HP-1, corresponding to residues 41 to 53 and including the first alpha-helix, contains the highest helical population. HP-3, corresponding to residues 62 through 75 and including the third alpha-helix, contains a small population of helical turn residing at the N terminus while HP-2, corresponding to residues 52 through 61 and including the second alpha-helix, formed little to no structure in isolation. Overall, HP-1 was the only fragment to adopt a native-like conformation, but the low population suggests that formation of significant structure only occurs after formation of specific tertiary interactions.     

Modeling of peptides connecting the ligand‐binding and transmembrane domains in the GluR2 glutamate receptor

Ligand‐gated Glutamate receptors (GluR) mediate synaptic signals in the nervous system. Ionotropic GluRs of AMPA type, the subject of this study, are tetrameric assemblies of monomer subunits, each of which is constructed in a modular fashion from functional subdomains. The extracellular ligand‐binding domain (LBD) changes its conformation upon binding of an agonist ligand followed by opening of a transmembrane (TM) ion channel. Peptides connecting the LBD and TM domains facilitate gating of the channel, and their structure and composition are important for the receptor functioning. In this study, we used replica exchange molecular dynamics (REMD) simulations to model S1M1 and S2M3 connecting peptides of the GluR2 receptor in two implicit solvents, water and interfacial water/lipid medium characterized by lower polarity. Propensity of these peptides to form helical structures was analyzed using helicity measure derived from the free energy of the simulated ensembles of structures. The S1M1 and S2M3 connecting peptides were not helical in our simulations in both dielectric environments in the absence of the rest of the protein. The structures of the LBD fragment with known high‐resolution α‐helical structure and of the TM3 helix were successfully predicted in the simulations, which in part validate our results. The S2M3 peptide, which is important in gating, formed a well‐defined coil structure and salt‐bridges with the S2 domain. The S1M1 peptide formed a loop structure via formation of internal salt‐bridges. Potential implications of these structures on function of the receptor are discussed. Proteins 2009. © 2008 Wiley‐Liss, Inc.