Backbone H-bonds Research Articles

Optimization of quenched fluorescent peptide substrates of SARS-CoV-2 3CLpro main protease (Mpro) from proteomic identification of P6-P6' active site specificity.

SARS-CoV-2 3C-like main protease (3CLpro) is essential for protein excision from the viral polyprotein. 3CLpro inhibitor drug development to block SARS-CoV-2 replication focuses on the catalytic non-prime (P) side for specificity and potency, but the importance of the prime (P') side in substrate specificity and for drug development remains underappreciated. We determined the P6-P6' specificity for 3CLpro from >800 cleavage sites that we identified using Proteomic Identification of Cleavage site Specificity (PICS). Cleavage occurred after the canonical P1-Gln and non-canonical P1-His and P1-Met residues. Moreover, P3 showed a preference for Arg/Lys and P3' for His. Essential H-bonds between the N-terminal Ser1 of protomer-B in 3CLpro dimers form with P1-His, but not with P1-Met. Nonetheless, cleavage occurs at P1-Met456 in native MAP4K5. Elevated reactive oxygen species in SARS-CoV-2 infection oxidize methionines. Molecular simulations revealed P1-MetOX forms an H-bond with Ser1 and notably, strong positive cooperativity between P1-Met with P3'-His was revealed, which enhanced peptide-cleavage rates. The highly plastic S3' subsite accommodates P3'-His that displays stabilizing backbone H-bonds with Thr25 lying central in a "'threonine trio" (Thr24-Thr25-Thr26) in the P'-binding domain I. Molecular docking simulations unveiled structure-activity relationships impacting 3CLpro-substrate interactions, and the role of these structural determinants was confirmed by MALDI-TOF-MS cleavage assays of P1'- and P3'-positional scanning peptide libraries carrying a 2nd optimal cut-site as an internal positive control. These data informed the design of two new and highly soluble 3CLproquenched-fluorescent peptide substrates for improved FRET monitoring of 3CLpro activity with 15× improved sensitivity over current assays.IMPORTANCEFrom global proteomics identification of >800 cleavage sites, we characterized the P6-P6' active site specificity of SARS-CoV-2 3CLpro using proteome-derived peptide library screens, molecular modeling simulations, and focussed positional peptide libraries. In P1', we show that alanine and serine are cleaved 3× faster than glycine and the hydrophobic small amino acids Leu, Ile, or Val prevent cleavage of otherwise optimal non-prime sequences. In characterizing non-canonical non-prime P1 specificity, we explored the unusual P1-Met specificity, discovering enhanced cleavage when in the oxidized state (P1-MetOX). We unveiled unexpected amino acid cooperativity at P1-Met with P3'-His and noncanonical P1-His with P2-Phe, and the importance of the threonine trio (Thr24-Thr25-Thr26) in the prime side binding domain I in defining prime side binding in SARS-CoV-2 3CLpro. From these analyses, we rationally designed quenched-fluorescence natural amino acid peptide substrates with >15× improved sensitivity and high peptide solubility, facilitating handling and application for screening of new antiviral drugs.

A facile approach for incorporating tyrosine esters to probe ion-binding sites and backbone hydrogen bonds

Amide to ester substitutions are used to study the role of the amide bonds of the protein backbone in protein structure, function and folding. An amber suppressor tRNA/ synthetase pair has been reported for incorporation of p-hydroxy-phenyl-L-lactic acid (HPLA) and thereby introducing ester substitution at tyrosine residues. However, the application of this approach was limited due to the low yields of the modified proteins and the high cost of HPLA. Here we report the in vivo generation of HPLA from the significantly cheaper phenyl-L-lactic acid. We also construct an optimized plasmid with the HPLA suppressor tRNA/synthetase pair that provides higher yields of the modified proteins. The combination of the new plasmid and the in-situ generation of HPLA provides a facile and economical approach for introducing tyrosine ester substitutions. We demonstrate the utility of this approach by introducing tyrosine ester substitutions into the K+ channel KcsA and the integral membrane enzyme GlpG. We introduce the tyrosine ester in the selectivity filter of the M96V mutant of the KcsA to probe the role of the second ion binding site in the conformation of the selectivity filter and in the process of inactivation. We use tyrosine ester substitutions in GlpG to perturb backbone H-bonds to investigate the contribution of these H-bonds to membrane protein stability. We anticipate that the approach developed in this study will facilitate further investigations using tyrosine ester substitutions.

In Silico Exploration of Alternative Conformational States of VDAC.

VDAC (Voltage-Dependent Anion-selective Channel) is the primary metabolite pore in the mitochondrial outer membrane (OM). Atomic structures of VDAC, consistent with its physiological "open" state, are β-barrels formed by 19 transmembrane (TM) β-strands and an N-terminal segment (NTERM) that folds inside the pore lumen. However, structures are lacking for VDAC's partially "closed" states. To provide clues about possible VDAC conformers, we used the RoseTTAFold neural network to predict structures for human and fungal VDAC sequences modified to mimic removal from the pore wall or lumen of "cryptic" domains, i.e., segments buried in atomic models yet accessible to antibodies in OM-bound VDAC. Predicted in vacuo structures for full-length VDAC sequences are 19-strand β-barrels similar to atomic models, but with weaker H-bonding between TM strands and reduced interactions between NTERM and the pore wall. Excision of combinations of "cryptic" subregions yields β-barrels with smaller diameters, wide gaps between N- and C-terminal β-strands, and in some cases disruption of the β-sheet (associated with strained backbone H-bond registration). Tandem repeats of modified VDAC sequences also were explored, as was domain swapping in monomer constructs. Implications of the results for possible alternative conformational states of VDAC are discussed.

Role of axial coordination in the adsorption configuration of M(II)-tetraphenylporphyrins (M = Co, Ni, Cu, Zn) on r-TiO[formula omitted](110)

The efficiency of interfacial charge transfer for photovoltaic and photocatalytic applications of metal-tetraphenylporphyrins (M-TPPs) on rutile TiO2(110) is governed by the molecular adsorption site and configuration. Although nitrogen-chelated metals in oxidation state (II) display a different tendency to axial coordination at the porphyrin centre, we found that M(II)-TPPs with M = Co, Ni, Cu, Zn adsorb on the Obr rows with the same molecular conformation and they aggregate into a commensurate phase with the same symmetry. According to density functional theory (DFT) calculations, the tendency to axial coordination determines the hierarchy of the molecular adsorption energy (where Co-TPP displays the largest one) and the preference for adsorption either atop one Obr atom (Co- and Zn-TPP) or on bridge between two Obr atoms (Ni- and Cu-TPP). In the latter case, the adsorption site is driven by the optimization of the molecular backbone H-bonds to the Obr rows rather than by metal coordination to the substrate.

Aza-PNA: Engineering E-Rotamer Selectivity Directed by Intramolecular H-bonding.

The replacement of α(CH2) by NH in monomers of standard aeg PNA and its homologue β-ala PNA leads to respective aza-PNA monomers (1 and 2) in which the NαH can form either an 8-membered H-bonded ring with folding of the backbone (DMSO and water) or a 5-membered NαH─αCO (water) to stabilize E-type rotamers. Such aza-PNA oligomers with exclusive E rotamers and intraresidue backbone H-bonding can modulate its DNA/RNA binding and assembling properties.

Intracellular functions and motile properties of bi-directional kinesin-5 Cin8 are regulated by neck linker docking.

In this study, we analyzed intracellular functions and motile properties of neck-linker (NL) variants of the bi-directional S. cerevisiae kinesin-5 motor, Cin8. We also examined - by modeling - the configuration of H-bonds during NL docking. Decreasing the number of stabilizing H-bonds resulted in partially functional variants, as long as a conserved backbone H-bond at the N-latch position (proposed to stabilize the docked conformation of the NL) remained intact. Elimination of this conserved H-bond resulted in production of a non-functional Cin8 variant. Surprisingly, additional H-bond stabilization of the N-latch position, generated by replacement of the NL of Cin8 by sequences of the plus-end directed kinesin-5 Eg5, also produced a nonfunctional variant. In that variant, a single replacement of N-latch asparagine with glycine, as present in Cin8, eliminated the additional H-bond stabilization and rescued the functional defects. We conclude that exact N-latch stabilization during NL docking is critical for the function of bi-directional kinesin-5 Cin8.

Protein secondary structure assignment using pc-polyline and convolutional neural network.

The assignment of protein secondary structure elements (SSEs) underpins structural analysis and prediction. The backbone of a protein could be adequately represented using a pc-polyline that passes through the centers of its peptide planes. One salient feature of pc-polyline representation is that the secondary structure of a protein becomes recognizable in a matrix whose elements are the pairwise distances between two peptide plane centers. Thus, a pc-polyline could in turn be used to assign SSEs. Using convolutional neural network (CNN) here we confirm that a pc-polyline indeed contains enough information for it to be used for the accurate assignments of the six SSE types: α-helix, β-sheet, β-bulge, 310 -helix, turn and loop. The applications to three large data sets show that the assignments by our CNN-based p2psse program agree very well with those by dssp, stride and quite well with those by five other programs. The analyses of their SSE assignments raise some general questions about the characterizations of protein secondary structure. In particular the analyses illustrate the difficulty with giving a quantitative and consistent definition for each of the six SSE types especially for 310 -helix, β-bulge, turn or loop in terms of either backbone H-bond patterns, or backbone dihedral angles, or Cα -polyline or pc-polyline. The difficulty suggests that the SSE space though being dominated by the regions for the six SSE types is to a certain degree continuous. The program is available at https://github.com/wlincong/p2pSSE.

Targeting the APP-Mint2 Protein-Protein Interaction with a Peptide-Based Inhibitor Reduces Amyloid-β Formation.

There is an urgent need for novel therapeutic approaches to treat Alzheimer's disease (AD) with the ability to both alleviate the clinical symptoms and halt the progression of the disease. AD is characterized by the accumulation of amyloid-β (Aβ) peptides which are generated through the sequential proteolytic cleavage of the amyloid precursor protein (APP). Previous studies reported that Mint2, a neuronal adaptor protein binding both APP and the γ-secretase complex, affects APP processing and formation of pathogenic Aβ. However, there have been contradicting results concerning whether Mint2 has a facilitative or suppressive effect on Aβ generation. Herein, we deciphered the APP-Mint2 protein-protein interaction (PPI) via extensive probing of both backbone H-bond and side-chain interactions. We also developed a proteolytically stable, high-affinity peptide targeting the APP-Mint2 interaction. We found that both an APP binding-deficient Mint2 variant and a cell-permeable PPI inhibitor significantly reduced Aβ42 levels in a neuronal in vitro model of AD. Together, these findings demonstrate a facilitative role of Mint2 in Aβ formation, and the combination of genetic and pharmacological approaches suggests that targeting Mint2 is a promising therapeutic strategy to reduce pathogenic Aβ levels.

Critical nucleus of Greek-key-like core of α-synuclein protofibril and its disruption by dopamine and norepinephrine.

The formation of amyloid fibrils by α-synuclein (αS) protein inside the Lewy bodies and Lewy neurites is the prominent pathological hallmark of Parkinson's disease (PD). The fibrillation of αS in vitro is described by a nucleation-elongation process involving the formation of a critical nucleus. Finding the critical/smallest nuclei and effective inhibitors of αS aggregation is a crucial step for the development of drugs against PD. Recent experiments reported that dopamine (DA) and norepinephrine (NE), two prominent naturally occurring neurotransmitters, can effectively disrupt the preformed αS fibrils. The level of DA/NE in blood can be markedly increased by exercise. However, the size and structure of the critical nucleus and the disruptive mechanism by DA/NE are largely unknown. In this work, we performed multiple molecular dynamics (MD) simulations to find the critical nucleus size and examine the influences of DA/NE molecules on preformed αS44-96 (Greek-key-like core of full length αS) protofibrils. Our results show that the trimer is the critical nucleus for the αS44-96 fibril formation, and the tetramer is the minimal stable nucleus. When DA/NE molecules bind to the fibril-like trimer and tetramer, they strongly destabilize the αS protofibrils by disrupting the β-sheet structure and inter-chain E46-K80 salt bridges. Two common binding sites are identified for both DA and NE molecules on αS oligomers: residues 57-70 and 81-83. A different binding site is also observed, which is located at the N-terminal region (residues 45-52). The binding of DA/NE molecules to αS oligomers is mostly driven by hydrophobic and electrostatic interactions. We found two disruptive modes, and binding to the turn region of αS oligomers but disrupting the adjacent β-sheet structure is the dominant one. Our work identified the critical nucleus of Greek-key-like core of αS protofibrils and revealed the disruptive mechanism of αS protofibrils by DA/NE molecules, which may be helpful to the design of effective drugs against αS aggregation.

Constant velocity pulling and unfolding of thyroid hormone receptor by steered molecular dynamics

Unfolding pathways of T3 liganded thyroid hormone receptor (THRT3) can be studied by using the protocols of steered molecular dynamics (SMD). Theory of constant velocity pulling has been implemented to the structure of THRT3 in a neutral water-ion solution equilibrated up to 20 ns. The globular form of THRT3 is completely unfolded extending N-C termini from 38 Å to 876 Å at a constant speed of 0.1 Å/ps by means of 8.5 ns long SMD simulations. The peak force measured in the intermediate conformations is related to a burst of backbone H-bonds among a-helices and b-hairpins. With decrease in H-bonds, electrostatic energy increases by losing gradually the secondary structure and separating a and b-strands in solution. The force at the end (t > 8.5 ns) increases steeply with the large increase in bond-angle and bond-length potentials when the system becomes completely unfolded. The hydrophobic ligand binding domain (LBD) of THR-b with load bearing H-bonds protects T3 from water attack. Even after complete unfolding of THR-b LBD, the position of T3 is not deviated more than 2.5 Å and a large number of water molecules remain in the surrounding of this domain area. This is a strong evidence for the mechanochemical stability of a receptor protein’s LBD towards hormone activated gene expressions followed by ligand binding and dissociation.
 BIBECHANA 17 (2020) 50-57

Investigation of the Stereochemical-Dependent DNA and RNA Binding of Arginine-Based Nucleopeptides

Nucleopeptides represent an intriguing class of nucleic acid analogues, in which nucleobases are placed in a peptide structure. The incorporation of D- and/or L-amino acids in nucleopeptide molecules allows the investigation of the role of backbone stereochemistry in determining the formation of DNA and RNA hybrids. Circular Dichroism (CD) spectroscopic studies indicated the nucleopeptide as having fully l-backbone configuration-formed stable hybrid complexes with RNA molecules. Molecular Dynamics (MD) simulations suggested a potential structure of the complex resulting from the interaction between the l-nucleopeptide and RNA strand. From this study, both the backbone (ionics and H-bonds) and nucleobases (pairing and π-stacking) of the chiral nucleopeptide appeared to be involved in the hybrid complex formation, highlighting the key role of the backbone stereochemistry in the formation of the nucleopeptide/RNA complexes.

Controlled Construction of Cyclic d / l Peptide Nanorods

Cyclic d / l peptides (CPs) assemble spontaneously via backbone H-bonding to form extended nanostructures. These modular materials have great potential as versatile bionanomaterials. However, the useful development of CP nanomaterials requires practical methods to direct and control their assembly. In this work, we present novel, heterogeneous, covalently linked CP tetramers that achieve local control over the CP subunit order and composition through coupling of amino acid side-chains using copper-activated azide-alkyne cycloaddition and disulfide bond formation. Cryo-transmission electron microscopy revealed the formation of highly ordered, fibrous nanostructures, while NMR studies showed that these systems have strong intramolecular H-bonding in solution. The introduction of inter-CP tethers is expected to enable the development of complex nanomaterials with controllable chemical properties, facilitating the development of precisely functionalized or "decorated" peptide nanostructures.

Local structural motifs in proteins: Detection and characterization of fragments inserted in helices

The global/local fold of protein structures is stabilized by a variety of specific interactions. A primary role in this context is played by hydrogen bonds. In order to identify novel motifs in proteins, we searched Protein Data Bank structures looking for backbone H-bonds formed by NH groups of two (or more) consecutive residues with consecutive CO groups of distant residues in the sequence. The present analysis unravels the occurrence of recurrent structural motifs that, to the best of our knowledge, had not been characterized in literature. Indeed, these H-bonding patterns are found (i) in a specific parallel β-sheet capping, (ii) in linking of β-hairpins to α-helices, and (iii) in α-helix insertions. Interestingly, structural analyses of these motifs indicate that Gly residues frequently occupy prominent positions. The formation of these motifs is likely favored by the limited propensity of Gly to be embodied in helices/sheets. Of particular interest is the motif corresponding to insertions in helices that was detected in 1% of analyzed structures. Inserted fragments may assume different structures and aminoacid compositions and usually display diversified evolutionary conservation. Since inserted regions are physically separated from the rest of the protein structure, they represent hot spots for ad-hoc protein functionalization.

Changes in Enzyme Structural Dynamics Studied by Hydrogen Exchange-Mass Spectrometry: Ligand Binding Effects or Catalytically Relevant Motions?

It is believed that enzyme catalysis is facilitated by conformational dynamics of the protein scaffold that surrounds the active site, yet the exact nature of catalytically relevant protein motions remains largely unknown. Hydrogen/deuterium exchange (HDX) mass spectrometry (MS) reports on backbone H-bond fluctuations. HDX/MS thus represents a promising avenue for probing the relationship between enzyme dynamics and catalysis. A seemingly straightforward strategy for such studies involves comparative measurements during substrate turnover and in the resting state. We examined the feasibility of this approach using rabbit muscle pyruvate kinase (rM1-PK) which catalyzes the conversion of phosphoenolpyruvate and Mg-ADP to pyruvate and Mg-ATP. HDX/MS revealed that catalytically active rM1-PK undergoes significant rigidification in the active site. This finding is counterintuitive, considering the purported correlation between dynamics and catalysis. Interestingly, virtually the same rigidification was seen upon exposing rM1-PK to substrates or products in the absence of turnover. These data imply that the active site dynamics during turnover are dominated by protein-ligand binding interactions. These interactions stabilize H-bonds in the vicinity of the active site, thereby masking subtle dynamic features that might be uniquely associated with catalysis. Our data uncover an inherent problem with side-by-side turnover/resting state measurements, i.e., the difficulty to design a suitable reference state against which the working enzyme can be compared. Comparative HDX/MS experiments on enzyme dynamics should therefore be interpreted with caution.

Perplexing cooperative folding and stability of a low-sequence complexity, polyproline 2 protein lacking a hydrophobic core

The burial of hydrophobic side chains in a protein core generally is thought to be the major ingredient for stable, cooperative folding. Here, we show that, for the snow flea antifreeze protein (sfAFP), stability and cooperativity can occur without a hydrophobic core, and without α-helices or β-sheets. sfAFP has low sequence complexity with 46% glycine and an interior filled only with backbone H-bonds between six polyproline 2 (PP2) helices. However, the protein folds in a kinetically two-state manner and is moderately stable at room temperature. We believe that a major part of the stability arises from the unusual match between residue-level PP2 dihedral angle bias in the unfolded state and PP2 helical structure in the native state. Additional stabilizing factors that compensate for the dearth of hydrophobic burial include shorter and stronger H-bonds, and increased entropy in the folded state. These results extend our understanding of the origins of cooperativity and stability in protein folding, including the balance between solvent and polypeptide chain entropies.

Intramolecular backbone···backbone hydrogen bonds in polypeptide conformations. The other way around: ɛ-turn.

In this study, we performed a detailed literature survey of the ɛ-turn in peptides and proteins. This three-dimensional structural feature is characterized by an eleven-membered pseudo-cycle closed by an intramolecular backbone…backbone H-bond. Interestingly, in this motif the direction of the N-H…O = C H-bond runs opposite to that of the much more popular and extensively investigated α-, β-, and γ-turns. We did not authenticate unequivocally the ɛ-turn main-chain reversal topology in any linear short peptide. However, it is frequently observed in small cyclic peptides formed by four, five, and six amino acid residues with stringent geometric requirements. Rather surprisingly, ɛ-turns do occur in proteins, although to a relatively moderate extent, as an isolated feature or in the turn segment of hairpin motifs based on two antiparallel, pleated β-strands. Moreover, the ɛ-turn may also host not only the seven-membered, intramolecularly H-bonded, pseudo-cycle termed γ-turn, either of the classic or inverse type, but also one (or even two) cis peptide bond(s) or a β-bulge conformation. Based on their ϕ, ψ backbone torsion angles, we were able to classify the protein ɛ-turns in six different families. Conformational energy computations using the DFT methodology were also performed on the ɛ-turns adopted by the amino acid triplet -Gly-Gly-Gly- (Gly is the most commonly found residue at each of the three positions in our analysis of proteins). Again, in this computational study, six families of turns were identified, but only some of them resemble rather closely those extracted from our investigation on proteins.

Upside: A New Dynamics Method Capable of Cooperative De Novo Protein Folding in CPU-Hours

Protein dynamics can be simulated at many levels of resolution, from every atom to single beads representing one residue. Using only the backbone N, Cα, and C atoms, we have developed a coarse-grained model for Langevin dynamics (LD) simulations that is capable of cooperatively folding some small proteins with near A accuracy in hours on a home computer. Its extreme speed and high accuracy, respectively, are largely due to representing each residue with only the three backbone atoms but using their positions to reconstruct the influence of the missing groups. More specifically, the location of the backbone atoms defines the positions of pendant groups not explicitly represented in the model, thereby enabling the computation of the forces on these inferred positions and the distribution of these forces back onto the backbone atoms. Importantly, the reconstructed protein is associated with detailed AA- and neighbor-dependent Ramachandran maps, backbone H-bonding, and side chain packing potentials, features absent in many coarse grained folding models. This reconstruction allows the forces from a much more detailed model to act directly on the fundamental backbone degrees of freedom despite using only 3 explicit atoms per AA. This algorithm is implemented in a novel simulation framework, Upside, that is highly configurable and efficient. While Upside is originally designed to describe protein folding, we are also applying it to study intrinsically disordered and membrane proteins, as well as conformational change. Upside's extreme speed makes it an extremely powerful method for studies requiring extensive conformational sampling, for example, providing initial transition paths that can be further investigated using all-atom simulations.

Assessing the stability of alanine-based helices by conformer-selective IR spectroscopy.

Polyalanine based peptides that carry a lysine at the C-terminus ([Ac-AlanLys + H](+)) are known to form α-helices in the gas phase. Three factors contribute to the stability of these helices: (i) the interaction between the helix macro dipole and the charge, (ii) the capping of dangling C[double bond, length as m-dash]O groups by lysine and (iii) the cooperative hydrogen bond network. In previous studies, the influence of the interaction between the helix dipole and the charge as well as the impact of the capping was studied intensively. Here, we complement these findings by systematically assessing the third parameter, the H-bond network. In order to selectively remove one H-bond along the backbone, we use amide-to-ester substitutions. The resulting depsi peptides were analyzed by ion-mobility and m/z-selective infrared spectroscopy as well as theoretical calculations. Our results indicate that peptides which contain only one ester bond still maintain the helical conformation. We conclude that the interaction between the charge and the helix macro-dipole is most crucial for the formation of the α-helical conformation and a single backbone H-bond has only little influence on the overall stability.

Molecular events during the early stages of aggregation of GNNQQNY: An all atom MD simulation study of randomly dispersed peptides.

This study probes the early events during lag phase of aggregation of GNNQQNY using all atom MD simulations in explicit solvent. Simulations were performed by varying system size, temperature and starting configuration. Peptides dispersed randomly in the simulation box come together early on in the simulation and form aggregates. These aggregates are dynamic implying the absence of stabilizing interactions. This facilitates the exploration of alternate arrangements. The constituent peptides sample a variety of conformations, frequently re-orient and re-arrange with respect to each other and dissociate from/re-associate with the aggregate. The size and lifetime of aggregates vary depending upon the number of inter-peptide backbone H-bonds. Most of the aggregates formed are amorphous but crystalline aggregates of smaller size (mainly 2-mers) do appear and sustain for varying durations of time. The peptides in crystalline 2-mers are mostly anti-parallel. The largest crystalline aggregate that appears is a 4-mer in a single sheet and a 4-, 5-, or 6-mer in double layered arrangement. Crystalline aggregates grow either by the sequential addition of peptides, or by the head-on or lateral collision-adhesion of 2-mers. The formation of various smaller aggregates suggests the polymorphic nature of oligomers and heterogeneity in the lag phase.

Cell-Membrane-Mimicking Lipid-Coated Nanoparticles Confer Raman Enhancement to Membrane Proteins and Reveal Membrane-Attached Amyloid-β Conformation.

Identifying the structures of membrane bound proteins is critical to understanding their function in healthy and diseased states. We introduce a surface enhanced Raman spectroscopy technique which can determine the conformation of membrane-bound proteins, at low micromolar concentrations, and also in the presence of a substantial membrane-free fraction. Unlike conventional surface enhanced Raman spectroscopy, our approach does not require immobilization of molecules, as it uses spontaneous binding of proteins to lipid bilayer-encapsulated Ag nanoparticles. We apply this technique to probe membrane-attached oligomers of Amyloid-β40 (Aβ40), whose conformation is keenly sought in the context of Alzheimer's disease. Isotope-shifts in the Raman spectra help us obtain secondary structure information at the level of individual residues. Our results show the presence of a β-turn, flanked by two β-sheet regions. We use solid-state NMR data to confirm the presence of the β-sheets in these regions. In the membrane-attached oligomer, we find a strongly contrasting and near-orthogonal orientation of the backbone H-bonds compared to what is found in the mature, less-toxic Aβ fibrils. Significantly, this allows a "porin" like β-barrel structure, providing a structural basis for proposed mechanisms of Aβ oligomer toxicity.