Structural transition of a 15 amino acid residue peptide induced by GM1

Cyclization of Peptides Enhances the Inhibitory Activity against Ganglioside-Induced Aβ Fibril Formation

Alzheimer's disease is a progressive neurodegenerative disease and is the most common cause of dementia. It has been reported that the assembly of amyloid β-protein (Aβ) on the cell membrane is induced by the interaction of the Aβ monomer with gangliosides such as GM1. The ganglioside-bound Aβ (GAβ) complex acts as a seed to promote the toxic assembly of the Aβ fibrils. In a previous study, we found that a GM1 cluster-binding peptide (GCBP) specifically recognizes Aβ-sensitive ganglioside nanoclusters and inhibits the assembly of Aβ on a GM1-containing lipid membrane. In this study, cysteine-substituted double mutants of GCBP were designed and cyclized by intramolecular disulfide bond formation. Affinity assays indicated that one of the cyclic peptides had a higher affinity to a GM1-containing membrane compared to that of GCBP. Furthermore, surface topography analysis indicated that this peptide recognizes GM1 nanoclusters on the lipid membrane. An evaluation of the inhibitory kinetics indicated that the cyclic peptide could inhibit the formation of Aβ fibrils with an IC50 value of 1.2 fM, which is 10,000-fold higher than that of GCBP. The cyclic peptide was also shown to have a clearance effect on Aβ fibrils deposited on the lipid membrane and suppressed the formation of toxic Aβ assemblies. Our results indicate that the cyclic peptide that binds to the Aβ-sensitive ganglioside nanocluster is a potential novel inhibitor of ganglioside-induced Aβ assembly.

Ganglioside Nanocluster-Targeting Peptidyl Inhibitor Prevents Amyloid β Fibril Formation on the Neuronal Membrane

Neurotoxicity caused by peptide and protein aggregates is associated with the onset of neurodegenerative diseases. Accumulation of the amyloid β protein (Aβ) induced by neuronal ganglioside-enriched nanodomains (nanoclusters) in the presynaptic neuronal membrane, resulting in toxic oligomeric and fibrous forms, is implicated in the onset of Alzheimer's disease (AD). In the current study, we found that the ganglioside cluster-binding peptide (GCBP), a pentadecapeptide VWRLLAPPFSNRLLP that binds to ganglioside-enriched nanoclusters, inhibits the formation of Aβ assemblies with an IC₅₀ of 12 pM and also removes Aβ fibrils deposited on the lipid membrane. Thus, in addition to inhibiting Aβ assembly formation, GCBP effectively clears toxic Aβ assemblies as well, thereby suppressing neuronal cellular damage and death induced by such assemblies. These results indicate that ganglioside cluster-binding molecules may act as novel Aβ-targeting drugs with a unique mechanism of action that may be utilized to ameliorate AD.

Turn-On Fluorescent Probe Based on a Dansyl Triarginine Peptide for Ganglioside Imaging

Gangliosides play pivotal biological roles in the animal cell membranes, and it is vital to develop fluorescent probes for imaging them. To date, various artificial receptors for ganglioside imaging have been developed; however, turn-on fluorescence imaging for gangliosides with high contrast has not been achieved. We developed a simple fluorescent probe on the basis of a dansyl triarginine peptide for turn-on ganglioside imaging on the liposome membrane. The probe bound to monosialyl gangliosides and other anionic lipids with association constants was 10⁵ M^-1, which enhanced from 6-fold to 7-fold the fluorescence intensity. Upon binding to monosialyl ganglioside-containing giant liposomes, the turn-on probe selectively enhanced the fluorescence intensity compared with the other anionic lipids. This simple peptide probe for turn-on fluorescence imaging of gangliosides would provide a novel molecular tool for chemical biology.

Heterogeneous Ganglioside-Enriched Nanoclusters with Different Densities in Membrane Rafts Detected by a Peptidyl Molecular Probe

The specific features of the lateral distribution of gangliosides play key roles in cell-cell communications and the onset of various diseases related to the plasma membrane. We herein demonstrated that an artificial peptide identified from a phage-displayed library is available as a molecular probe for specific ganglioside nanoclustering sites in caveolae/membrane rafts on the cell surface. Atomic force microscopy studies indicated that the peptide specifically binds to the highly enriched monosialoganglioside GM1 nanodomains of reconstituted lipid bilayers composed of GM1, sphingomyelin, cholesterol, and unsaturated phospholipids. The ganglioside-containing area recognized by the peptide on the surface of PC12 cells was part of the area recognized by the cholera toxin B subunit, which has high affinity for GM1. Furthermore, the peptide bound to the cell surface after a treatment with methyl-β-cyclodextrin (MβCD), which disrupts membrane rafts by removing cholesterol. The present results indicate that there are heterogeneous ganglioside clusters with different ganglioside densities in caveolae/membrane rafts, and the peptidyl probe selectively recognizes the high-density ganglioside nanodomain that resists the MβCD treatment. This peptidyl probe will be useful for obtaining information on the lipid organization of the cell membrane and will help clarify the mechanisms by which the lateral distribution of gangliosides affects biological functions and the onset of diseases.

A random forest learning assisted "divide and conquer" approach for peptide conformation search

Computational determination of peptide conformations is challenging as it is a problem of finding minima in a high-dimensional space. The "divide and conquer" approach is promising for reliably reducing the search space size. A random forest learning model is proposed here to expand the scope of applicability of the "divide and conquer" approach. A random forest classification algorithm is used to characterize the distributions of the backbone φ-ψ units ("words"). A random forest supervised learning model is developed to analyze the combinations of the φ-ψ units ("grammar"). It is found that amino acid residues may be grouped as equivalent "words", while the φ-ψ combinations in low-energy peptide conformations follow a distinct "grammar". The finding of equivalent words empowers the "divide and conquer" method with the flexibility of fragment substitution. The learnt grammar is used to improve the efficiency of the "divide and conquer" method by removing unfavorable φ-ψ combinations without the need of dedicated human effort. The machine learning assisted search method is illustrated by efficiently searching the conformations of GGG/AAA/GGGG/AAAA/GGGGG through assembling the structures of GFG/GFGG. Moreover, the computational cost of the new method is shown to increase rather slowly with the peptide length.

Synthesis and influenza virus inhibitory activities of carbosilane dendrimers peripherally functionalized with hemagglutinin-binding Peptide

A series of carbosilane dendrimers uniformly functionalized with hemagglutinin (HA) binding peptide (sialic acid-mimic peptide, Ala-Arg-Leu-Pro-Arg) was systematically synthesized, and their anti-influenza virus activity was evaluated. The carbosilane-based peptide dendrimers, unlike sialylated dendrimers, cannot be digested by virus neuraminidases. The peptide dendrimers exhibited intriguing biological activities depending on the form of their core frame, with a dumbbell-type peptide dendrimer showing particularly strong inhibitory activities against two human influenza viruses, A/PR/8/34 (H1N1) and A/Aichi/2/68 (H3N2). The IC50 values of the dumbbell-type peptide dendrimer for both strains were 0.60 μM, the highest activity among the HA-binding peptide derivatives. The results suggest that a dumbbell-shaped carbosilane dendrimer is the most suitable core scaffold for HA-binding peptide dendrimers.

Density of GM1 in nanoclusters is a critical factor in the formation of a spherical assembly of amyloid β-protein on synaptic plasma membranes

The deposition of amyloid β-protein (Aβ) is a pathological hallmark of Alzheimer's disease (AD). We previously found that the ganglioside-enriched microdomains (ganglioside clusters) in presynaptic neuronal membranes play a key role in the initiation of the Aβ assembly process. However, not all ganglioside clusters accelerate Aβ assembly. In the present study, we directly observed a spherical Aβ in an atomic force microscopic study on the morphology of a reconstituted lipid bilayer composed of lipids that were extracted from a detergent-resistant membrane microdomain (DRM) fraction of synaptosomes prepared from aged mouse brain. The Aβ assembly was generated on a distinctive GM1 domain, which was characterized as the Aβ-sensitive ganglioside nanocluster (ASIGN). By using an artificial GM1 cluster-binding peptide, ASIGN was found to have a high density of GM1; therefore, there would be a critical density of GM1 in nanoclusters to induce Aβ binding and assembly. These results suggest that ganglioside-bound Aβ (GAβ), which acts as an endogenous seed for Aβ fibril formation in AD brains, is generated on ASIGN on synaptosomal membranes.

Comprehensive conformational studies of five tripeptides and a deduced method for efficient determinations of peptide structures

Thorough searches on the potential energy surfaces of five tripeptides, GGG, GYG, GWG, TGG, and MGG, were performed by considering all possible combinations of the bond rotational degrees of freedom with a semiempirical and ab initio combined computational approach. Structural characteristics of the obtained stable tripeptide conformers were carefully analyzed. Conformers of the five tripeptides were found to be closely connected with conformers of their constituting dipeptides and amino acids. A method for finding all important tripeptide conformers by optimizing a small number of trial structures generated by suitable superposition of the parent amino acid and dipeptide conformers is thus proposed. Applying the method to another five tripeptides, YGG, FGG, WGG, GFA, and GGF, studied before shows that the new approach is both efficient and reliable by providing the most complete ensembles of tripeptide conformers. The method is further generalized for application to larger peptides by introducing the breeding and mutation concepts in a genetic algorithm way. The generalized method is verified to be capable of finding tetrapeptide conformers with secondary structures of strands, helices, and turns, which are highly populated in larger peptides. This show some promise for the proposed method to be applied for the structural determination of larger peptides.

Selection of a carbohydrate-binding domain with a helix-loop-helix structure

We obtained a novel carbohydrate-binding peptide having a helix-loop-helix scaffold from a random peptide library. The helix-loop-helix peptide library randomized at five amino acid residues was displayed on the major coat protein of a filamentous phage. Affinity selection with a ganglioside, Galbeta1-3GalNAcbeta1-4(Neu5Acalpha2-3)Galbeta1-4Glcbeta1-1'Cer (GM1), gave positive phage clones. Surface plasmon resonance spectroscopy showed that a corresponding 35-mer synthetic peptide had high affinity for GM1 with a dissociation constant of 0.24 microM. This peptide preferentially binds to GM1 rather than asialo GM1 and GM2, suggesting that a terminal galactose and sialic acid are required for the binding as for cholera toxin. Circular dichroism spectroscopic studies indicated that a helical structure is important for the affinity and specificity. Furthermore, alanine scanning at randomized positions showed that arginine and phenylalanine play an especially important role in the recognition of carbohydrates. Such a de novo helix-loop-helix peptide would be available for the design of carbohydrate-binding proteins.