BackgroundAlzheimer's disease (AD) is the most common cause of dementia characterized by progressive cognitive impairment in the elderly people. The most dramatic abnormalities are those of the cholinergic system. Acetylcholinesterase (AChE) plays a key role in the regulation of the cholinergic system, and hence, inhibition of AChE has emerged as one of the most promising strategies for the treatment of AD.MethodsIn this study, we suggest a workflow for the identification and prioritization of potential compounds targeted against AChE. In order to elucidate the essential structural features for AChE, three-dimensional pharmacophore models were constructed using Discovery Studio 2.5.5 (DS 2.5.5) program based on a set of known AChE inhibitors.ResultsThe best five-features pharmacophore model, which includes one hydrogen bond donor and four hydrophobic features, was generated from a training set of 62 compounds that yielded a correlation coefficient of R = 0.851 and a high prediction of fit values for a set of 26 test molecules with a correlation of R2 = 0.830. Our pharmacophore model also has a high Güner-Henry score and enrichment factor. Virtual screening performed on the NCI database obtained new inhibitors which have the potential to inhibit AChE and to protect neurons from Aβ toxicity. The hit compounds were subsequently subjected to molecular docking and evaluated by consensus scoring function, which resulted in 9 compounds with high pharmacophore fit values and predicted biological activity scores. These compounds showed interactions with important residues at the active site.ConclusionsThe information gained from this study may assist in the discovery of potential AChE inhibitors that are highly selective for its dual binding sites.

We have developed a fluorescence approach for the highly selective and sensitive detection of Pb(2+) ions using AGRO100, a G-quadruplex DNAzyme. The sensing strategy is based on Pb(2+) ions inducing increased DNAzyme activity of AGRO100 in the presence of hemin, which acts as a cofactor to catalyze H(2)O(2)-mediated oxidation of Amplex UltraRed (AUR). A test of eight aptamers of various sequences for the detection of Pb(2+) ions revealed that AGRO100 performed the best in terms of sensitivity. The AGRO100-AUR probe exhibited high selectivity (>100-fold) toward Pb(2+) ions over other tested metal ions. The fluorescence intensity (excitation/emission maxima, ca. 561/592 nm) of the AUR product was proportional to the concentration of Pb(2+) ions over the range 0-1000 nM, with a linear correlation (R(2) = 0.98). For 5 mM Tris-acetate (pH 7.4) solutions in the presence and absence of 100 mM NaCl, the AGRO100-AUR probe provided limits of detection (signal-to-noise ratio = 3) for Pb(2+) ions of 1.0 and 0.4 nM, respectively. We validated the practicality of the use of the AGRO100-AUR probe for the determination of the concentrations of Pb(2+) ions in soil samples. This approach allows the determination of the concentrations of Pb(2+) ions with simplicity, selectivity, and sensitivity.

Several neurodegenerative diseases, such as Alzheimer's, Parkinson's, and Huntington's diseases, are associated with amyloid fibrils formed by different polypeptides. Recently, the atomic structure of the amyloid-forming peptide GGVVIA from the C-terminal hydrophobic segment of amyloid-beta (Abeta) peptide has been determined and revealed a dry, tightly self-complementing structure between two beta-sheets, termed as "steric zipper". In this study, several all-atom molecular dynamics simulations with explicit water were conducted to investigate the structural stability and aggregation behavior of the GGVVIA oligomers with various sizes. The results of our single-layer models suggested that the structural stability of the GGVVIA oligomers increases remarkably with increasing the numbers of beta-strands. We further identified that SH2-ST2 may act as a stable seed in prompting amyloid fibril formations. Our results also demonstrated that hydrophobic interaction is the principle driving force to stabilize and associate the GGVVIA oligomers between beta-strands; while the hydrophobic steric zipper formed via the side chains of V3, V4, and I5 plays a critical role in holding the two neighboring beta-sheets together. Single glycine substitution at V3, V4, and I5 directly disrupted the hydrophobic steric zipper between these two beta-sheets, resulting in the destabilization of the oligomers. Our simulation results provided detailed insights into understanding the aggregation behavior of the GGVVIA oligomers in the atomic level. It may also be helpful for designing new inhibitors able to prevent the fibril formation of Abeta peptide.

The formation of paired helical filaments arising from the short hexapeptide in the third repeat of tau protein, 306 VQIVYK 311 , is critical for tau polymerisation. The atomic structure of the VQIVYK oligomer has revealed a dry, tightly selfcomplementing structure between the neighbouring b-sheet layers, termed as 'steric zipper'. In this study, several molecular dynamics simulations with all-atom explicit water were conducted to investigate the structural stability and aggregation behaviour of the VQIVYK peptide with various sizes and its single alanine replacement mutations. Our results indicate that the van der Waals interaction between side chains of Q2, the p-p stacking interaction between aromatic rings of Y5, and the electrostatic interaction between K6 and the C-terminus play an important role in stabilising the VQIVYK oligomers within the same b-sheet layer, while hydrophobic steric zipper involving V1, I3 and Y5 is responsible for holding the neighbouring b-sheet layers together. The twisted angles of the VQIVYK oligomers were also analysed and shown to be size dependent. The present results not only provide atomic insights into amyloid formation, but are also helpful for designing new or modified capping peptides and inhibitors to prevent fibril formation of the VQIVYK peptide from tau protein.

ABSTRACT:The VEALYL peptide from B chain (residues 12-17) of insulin has been shown to form amyloid-like fibrils. Recently, the atomic structure of the VEALYL oligomer has been determined by X-ray microcrystallography and reveals a dry,

Inhibition of human serotonin transporter (hSERT) has been reported to be a potent strategy for the treatment for depression. To discover novel selective serotonin reuptake inhibitors (SSRIs), a structure-based pharmacophore model (SBPM) was developed using the docked conformations of six highly active SSRIs. The best SBPM, consisting of four chemical features: two ring aromatics (RAs), one hydrophobic (HY), and one positive ionizable (PI), was further validated using Gunner-Henry (GH) scoring and receiver operating characteristic (ROC) curve methods. This well-validated SBPM was then used as a 3D-query in virtual screening to identify potential hits from National Cancer Institute (NCI) database. These hits were subsequently filtered by absorption, distribution, metabolism, excretion, and toxicity (ADMET) prediction and molecular docking, and their binding stabilities were validated by 20-ns MD simulations. Finally, only two compounds (NSC175176 and NSC705841) were identified as potential leads, which exhibited higher binding affinities in comparison with the paroxetine. Our results also suggest that cation-π interaction plays a crucial role in stabilizing the hSERT-inhibitor complex. To our knowledge, the present work is the first structure-based virtual screening study for new SSRI discovery, which should be a useful guide for the rapid identification of novel therapeutic agents from chemical database.

Huntington's disease is a neurodegenerative disorder caused by a polyglutamine (polyQ) expansion near the N-terminus of huntingtin. Previous studies have suggested that polyQ aggregation occurs only when the number of glutamine (Q) residues is more than 36-40, the disease threshold. However, the structural characteristics of polyQ nucleation in the very early stage of aggregation still remain elusive. In this study, we designed 18 simulation trials to determine the possible structural models for polyQ nucleation and aggregation with various shapes and sizes of initial β-helical structures, such as left-handed circular, right-handed rectangular, and left- and right-handed triangular. Our results show that the stability of these models significantly increases with increasing the number of rungs, while it is rather insensitive to the number of Qs in each rung. In particular, the 3-rung β-helical models are stable when they adopt the left-handed triangular and right-handed rectangular conformations due to the fact that they preserve high β-turn and β-sheet contents, respectively, during the simulation courses. Thus, we suggested that these two stable β-helical structures with at least 3 rungs might serve as the possible nucleation seeds for polyQ depending on how the structural elements of β-turn and β-sheet are sampled and preserved during the very early stage of aggregation.

Amyloid-like fibrils are found in many fatal diseases, such as Alzheimer's disease, Parkinson's disease, type II diabetes mellitus, and prion diseases. Recently, the structural characterization of the MVGGVV peptide from the C-terminal hydrophobic segment of the amyloid-B (AB) peptide has revealed a general feature of amyloid-like fibrils, termed as "steric zipper", which is constituted by a tight side-chain complementation of the opposing B-sheet layers. In this study, several all-atom molecular dynamics simulations with explicit water were conducted to investigate the importance of steric zipper on the aggregation of the MVGGVV peptide. Our results show that the structural stability of the MVGGVV oligomers increases with increasing the number of B-strands. We further proposed that the octameric structure (the SH2-ST4 model in this study) is the possible nucleus seed for MVGGVV protofibril formation. Our results also demonstrated that hydrophobic interaction is the principle driving force to stabilize the adjacent B-strands while the steric zipper involved M1, V2, V5 and V6 is responsible for holding the neighboring B-sheet layers together. Finally, a twisted model of the MVGGVV assembly (SH2-ST50), based on the averaged twisted angle of approximately 11.5 degrees between the adjacent B-strands of the SH2-ST4 model, was proposed. Our results gain insights into the aggregation of the MVGGVV peptide in atomic details and may provide a hint for designing new inhibitors able to prevent the fibril formation of the AB peptide.