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1.
J Phys Chem B ; 126(20): 3659-3672, 2022 05 26.
Article in English | MEDLINE | ID: mdl-35580354

ABSTRACT

The amyloid cascade hypothesis states that senile plaques, composed of amyloid ß (Aß) fibrils, play a key role in Alzheimer's disease (AD). However, recent experiments have shown that Aß oligomers are more toxic to neurons than highly ordered fibrils. The molecular mechanism underlying this observation remains largely unknown. One of the possible scenarios for neurotoxicity is that Aß peptides create pores in the lipid membrane that allow Ca2+ ions to enter cells, resulting in a signal of cell apoptosis. Hence, one might think that oligomers are more toxic due to their higher ability to create ion channels than fibrils. In this work, we study the effect of Aß42 dodecamer and fibrils on a neuronal membrane, which is similar to that observed in AD patients, using all-atom molecular dynamics simulations. Due to short simulation times, we cannot observe the formation of pores, but useful insight on the early events of this process has been obtained. Namely, we showed that dodecamer distorts the lipid membrane to a greater extent than fibrils, which may indicate that ion channels can be more easily formed in the presence of oligomers. Based on this result, we anticipate that oligomers are more toxic than mature fibrils, as observed experimentally. Moreover, the Aß-membrane interaction was found to be governed by the repulsive electrostatic interaction between Aß and the ganglioside GM1 lipid. We calculated the bending and compressibility modulus of the membrane in the absence of Aß and obtained good agreement with the experiment. We predict that the dodecamer will increase the compressibility modulus but has little effect on the bending modulus. Due to the weak interaction with the membrane, fibrils insignificantly change the membrane elastic properties.


Subject(s)
Alzheimer Disease , Amyloid beta-Peptides , Alzheimer Disease/metabolism , Amyloid/chemistry , Amyloid beta-Peptides/chemistry , G(M1) Ganglioside , Humans , Neurons/metabolism , Peptide Fragments/chemistry
2.
J Phys Chem B ; 124(47): 10617-10631, 2020 11 25.
Article in English | MEDLINE | ID: mdl-33180492

ABSTRACT

Amyloid-ß (Aß) peptides form assemblies that are pathological hallmarks of Alzheimer's disease. Aß oligomers are soluble, mobile, and toxic forms of the peptide that act in the extracellular space before assembling into protofibrils and fibrils. Therefore, oligomers play an important role in the mechanism of Alzheimer's disease. Since it is difficult to determine by experiment the atomic structures of oligomers, which accumulate fast and are polymorphic, computer simulation is a useful tool to investigate elusive oligomers' structures. In this work, we report extended all-atom molecular dynamics simulations, both canonical and replica exchange, of Aß(1-42) trimer starting from two different initial conformations: (i) the pose produced by the best docking of a monomer aside of a dimer (simulation 1), representing oligomers freshly formed by assembling monomers, and (ii) a configuration extracted from an experimental mature fibril structure (simulation 2), representing settled oligomers in equilibrium with extended fibrils. We showed that in simulation 1, regions with small ß-barrels are populated, indicating the chance of spontaneous formation of domains resembling channel-like structures. These structural domains are alternative to those more representative of mature fibrils (simulation 2), the latter showing a stable bundle of C-termini that is not sampled in simulation 1. Moreover, trimer of Aß(1-42) can form internal pores that are large enough to be accessed by water molecules and Ca2+ ions.


Subject(s)
Alzheimer Disease , Amyloid beta-Peptides , Humans , Macromolecular Substances , Molecular Dynamics Simulation , Peptide Fragments
3.
J Phys Chem B ; 123(34): 7253-7269, 2019 08 29.
Article in English | MEDLINE | ID: mdl-31365254

ABSTRACT

Despite years of intensive research, little is known about oligomeric structures present during Alzheimer's disease (AD). Excess of amyloid beta (Aß) peptides and their aggregation are the basis of the amyloid cascade hypothesis, which attempts to explain the causes of AD. Because of the intrinsically disordered nature of Aß monomers and the high aggregation rate of oligomers, their structures are almost impossible to resolve using experimental methods. For this reason, we used a physics-based coarse-grained force field to extensively search for the conformational space of the Aß42 tetramer, which is believed to be the smallest stable Aß oligomer and the most toxic one. The resulting structures were subsequently optimized, tested for stability, and compared with the proposed experimental fibril models, using molecular dynamics simulations in two popular all-atom force fields. Our results show that the Aß42 tetramer can form polymorphic stable structures, which may explain different pathways of Aß aggregation. The models obtained comprise the outer and core chains and, therefore, are significantly different from the structure of mature fibrils. We found that interaction with water is the reason why the tetramer is more compact and less dry inside than fibrils. Physicochemical properties of the proposed all-atom structures are consistent with the available experimental observations and theoretical expectations. Therefore, we provide possible models for further study and design of higher order oligomers.


Subject(s)
Amyloid beta-Peptides/chemistry , Peptide Fragments/chemistry , Humans , Molecular Dynamics Simulation , Protein Aggregates , Protein Conformation , Protein Multimerization
4.
J Mol Graph Model ; 91: 80-90, 2019 09.
Article in English | MEDLINE | ID: mdl-31200217

ABSTRACT

Macrolide antibiotics bind to the exit tunnel of the ribosome and inhibit protein synthesis blocking its translocation. Thus, antibiotics including the known macrolide Erythromycin (ERY) are active against bacteria. However, at present, some bacteria show resistance to drugs, which requires the development of new powerful antibacterial agents. One possible way is to use the ERY structure, but change its side chains, while the size of the lactone ring can remain unchanged or change. In this work we consider Cethromycin (CET) and Solithromycin (SOL), which are ketolides with quinolylallyl group at C6 and aminophenyl at C11, respectively (both of them have the same lactone ring as ERY). Experiments have shown that these ketolides have improved efficacy against pathogens, but their binding affinity to the E. coli's ribosome is almost identical. To clarify this issue, we have studied in detail the binding mechanisms of ERY, CET and SOL using the docking and molecular dynamic simulations. In agreement with the experiments, we showed that these compounds have similar binding affinities. Desosamine and lactone ring groups play a critical role in the binding of ERY to the ribosome. In CET and SOL, the contribution of keto and alkylaryl groups is balanced by cyclic carbamate. We have demonstrated that increased fluctuations in the ribosomal residues at the binding site led to an increase in the entropic term in the free binding energy of ERY compared to SOL and CET. The alkyl-aryl arm of both ketolides strongly interacts with A752 and U2609. In addition, the presence of macrolides in the exit tunnel can alter the conformation of U2585, which is located in the peptidyl transferase center, through non-bonded interaction. Therefore, the side chain of ketolides affects not only the binding site but also other residues possibly leading to a strong effect on the protein synthesis process. We predict that to combat bacterial mutations, it is necessary either to design a bulk and charged group as a cladinose, or to use several groups with different signs of charges. This prediction can be used for the development of new efficient antibiotics.


Subject(s)
Erythromycin/chemistry , Erythromycin/metabolism , Escherichia coli/metabolism , Ketolides/chemistry , Ketolides/metabolism , Macrolides/chemistry , Macrolides/metabolism , Molecular Dynamics Simulation , Ribosomes/metabolism , Triazoles/chemistry , Triazoles/metabolism , Binding Sites , Entropy , Hydrogen Bonding , Methylation , Molecular Docking Simulation , Static Electricity , Thermodynamics , Time Factors
5.
Phys Chem Chem Phys ; 20(37): 24329-24338, 2018 Sep 26.
Article in English | MEDLINE | ID: mdl-30211407

ABSTRACT

Recently, it has been reported that anti-cancer drug bexarotene can remarkably destroy amyloid beta (Aß) plaques in mouse models suggesting therapeutic potential for Alzheimer's disease. However, the effect of bexarotene on clearance of plaques has not been seen in some mouse models. One of the possible mechanisms explaining this phenomenon is that bexarotene levels up expression of apolipoprotein 4 (ApoE4) leading to intracellular clearance of Aß peptide. Therefore, an interesting question emerges of whether bexarotene can destroy Aß plaques by direct interaction with them or by preventing production of Aß peptides. In our previous work we have shown that bexarotene cannot clear amyloid aggregates due to their weak interaction using in silico and in vitro experiments. Here we explore the possibility of inhibiting Aß production through bexarotene binding to ß-secretase which can cleave Aß peptides from amyloid precursor protein. Using the molecular mechanics-Poisson-Boltzmann surface area method and all-atom simulations we have shown that bexarotene has a very low binding affinity to ß-secretase. This result has been also confirmed by our in vitro experiment implying that bexarotene cannot clear amyloid plaques through inhibition of Aß production. We have also shown that bexarotene tightly binds to both peroxisome proliferator-activated receptor γ (PPAR-γ) and retinoid X receptors (RXRs). Thus, our result does not contradict the hypothesis that the reduction of Aß plaques occurs due to bexarotene-induced overexpression of ApoE4.


Subject(s)
Amyloid beta-Peptides/antagonists & inhibitors , Bexarotene/chemistry , Models, Molecular , Plaque, Amyloid/chemistry , Amyloid Precursor Protein Secretases/chemistry , Amyloid beta-Peptides/chemistry , Computer Simulation , Humans , Molecular Docking Simulation , Molecular Dynamics Simulation , PPAR gamma/chemistry , Protein Binding , Protein Conformation , Retinoid X Receptors/chemistry
6.
ACS Chem Neurosci ; 9(11): 2588-2598, 2018 11 21.
Article in English | MEDLINE | ID: mdl-29775277

ABSTRACT

We have probed small molecule compound CID 9998128 as a potential multitarget drug for the Alzheimer's disease (AD) using in silico and in vitro experiments. By all-atom simulation and molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method, we have demonstrated that this compound strongly binds to both amyloid ß42 (Aß42) fibrils and ß-secretase, and the van der Waals interaction dominates over the electrostatic interaction in binding affinity. A detailed analysis at the atomic level revealed that indazole in CID 99998128 structure made a major contribution to instability of all studied complexes. In vitro experiments have shown that CID 9998128 inhibits the Aß42 amyloid fibrillization and is capable to clear Aß42 fibrils. Moreover, the compound dose-dependently decreases ß-site amyloid precursor protein cleaving enzyme (BACE-1) activity with EC50 value in micromolar range. Thus, our study has revealed that CID 9998128 is a good candidate for AD treatment through preventing production of Aß peptides and degrading their aggregates. For drug design, we predict that the chemical structure of potent AD multitarget inhibitors should not contain indazole.


Subject(s)
Alzheimer Disease/drug therapy , Amyloid Precursor Protein Secretases/drug effects , Amyloid beta-Peptides/drug effects , Amyloid/drug effects , Indazoles/pharmacology , Peptide Fragments/drug effects , Pyridines/pharmacology , Quinazolines/pharmacology , Alzheimer Disease/metabolism , Amyloid/metabolism , Amyloid Precursor Protein Secretases/metabolism , Amyloid beta-Peptides/metabolism , Computer Simulation , Humans , In Vitro Techniques , Indazoles/chemistry , Molecular Dynamics Simulation , Peptide Fragments/metabolism , Pyridines/chemistry , Quinazolines/chemistry
8.
J Mol Graph Model ; 77: 121-129, 2017 10.
Article in English | MEDLINE | ID: mdl-28850894

ABSTRACT

The treatment of many diseases may require drugs that are capable to attack multiple targets simultaneously. Obviously, the virtual screening of multi-target drug candidates is much more time consuming compared to the single-target case. This, in particular, concerns the last step of virtual screening where the binding free energy is computed by conventional molecular dynamics simulation. To overcome this difficulty we propose a simple protocol which is relied on the fast steered molecular dynamics simulation and on available experimental data on binding affinity of reference ligand to a given target. Namely, first we compute non-equilibrium works generated during pulling ligands from the binding site using the steered molecular dynamics method. Then as top leads we choose only those compounds that have the non-equilibrium work larger than that of a reference compound for which the binding free energy has been already known from experiment. Despite many efforts no cures for AD (Alzheimer's disease) have been found. One of possible reasons for this failure is that drug candidates were developed for a single target, while there are exist many possible pathways to AD. Applying our new protocol to five targets including amyloid beta fibril, peroxisome proliferator-activated receptor γ, retinoic X receptor α, ß- and γ-secretases, we have found two potential drugs (CID 16040294 and CID 9998128) for AD from the large PubChem database. We have also shown that these two ligands can interfere with the activity of popular Acetylcholinesterase target through strong binding towards it.


Subject(s)
Alzheimer Disease/drug therapy , Drug Design , Drug Evaluation, Preclinical , User-Computer Interface , Amyloid Precursor Protein Secretases/antagonists & inhibitors , Amyloid Precursor Protein Secretases/chemistry , Amyloid beta-Peptides/antagonists & inhibitors , Amyloid beta-Peptides/chemistry , Binding Sites , Drug Delivery Systems , Humans , Ligands , Molecular Docking Simulation , Molecular Dynamics Simulation , Retinoid X Receptor alpha/antagonists & inhibitors , Retinoid X Receptor alpha/chemistry
9.
ACS Chem Neurosci ; 8(9): 1960-1969, 2017 09 20.
Article in English | MEDLINE | ID: mdl-28689412

ABSTRACT

In 2012, it was reported that anticancer drug bexarotene reduced amyloid plaque and improved mental functioning in a small sample of mice engineered to exhibit Alzheimer's like symptoms. It has been suggested that bexarotene stimulates expression of apolipoprotein E (ApoE) leading to intracellular clearance of amyloid beta (Aß). However, the effect of bexarotene on clearance of plaques has not been seen in some mouse models. Two interesting questions include whether bexarotene can destroy Aß fibrils via direct interaction with them and how this compound impacts the lag phase in the fibril growth process. By the Thioflavin T fluorescence assay and atomic force microscopy, we have shown that bexarotene prolongs the lag phase, but it does not degrade Aß fibrils. The impotence of bexarotene in destroying fibrils means that this compound is weakly bound to Aß. On the other hand, the weak binding would prevent bexarotene from prolonging the lag phase. Thus, our two main in vitro observations seem to contradict each other. In order to settle this problem at the atomic level, we have performed all-atom molecular dynamics simulations in explicit water. We have demonstrated that bexarotene is not capable to reduce amyloid deposits due to weak binding to Aß fibrils. However, it delays the self-assembly through reduction of the ß-content of Aß monomers at high enough ligand concentrations. Bexarotene is the first compound which displays such an unusual behavior. We have also shown that bexarotene has a low binding propensity to Aß monomer and dimer.


Subject(s)
Amyloid beta-Peptides/drug effects , Neuroprotective Agents/pharmacology , Protein Multimerization/drug effects , Tetrahydronaphthalenes/pharmacology , Amyloid beta-Peptides/chemistry , Amyloid beta-Peptides/metabolism , Benzothiazoles , Bexarotene , Dose-Response Relationship, Drug , Humans , Kinetics , Microscopy, Atomic Force , Molecular Docking Simulation , Molecular Dynamics Simulation , Molecular Structure , Neuroprotective Agents/chemistry , Plaque, Amyloid/drug therapy , Plaque, Amyloid/metabolism , Protein Structure, Secondary/drug effects , Tetrahydronaphthalenes/chemistry , Thiazoles , Water/chemistry
10.
J Comput Aided Mol Des ; 30(8): 639-50, 2016 08.
Article in English | MEDLINE | ID: mdl-27511370

ABSTRACT

Combining Lipinski's rule with the docking and steered molecular dynamics simulations and using the PubChem data base of about 1.4 million compounds, we have obtained DNA dyes Hoechst 34580 and Hoechst 33342 as top-leads for the Alzheimer's disease. The binding properties of these ligands to amyloid beta (Aß) fibril were thoroughly studied by in silico and in vitro experiments. Hoechst 34580 and Hoechst 33342 prefer to locate near hydrophobic regions with binding affinity mainly governed by the van der Waals interaction. By the Thioflavin T assay, it was found that the inhibition constant IC50 ≈ 0.86 and 0.68 µM for Hoechst 34580 and Hoechst 33342, respectively. This result qualitatively agrees with the binding free energy estimated using the molecular mechanic-Poisson Boltzmann surface area method and all-atom simulations with the AMBER-f99SB-ILDN force field and water model TIP3P. In addition, DNA dyes have the high capability to cross the blood brain barrier. Thus, both in silico and in vitro experiments have shown that Hoechst 34580 and 33342 are good candidates for treating the Alzheimer's disease by inhibiting Aß formation.


Subject(s)
Amyloid beta-Peptides/antagonists & inhibitors , Amyloid beta-Peptides/metabolism , Benzimidazoles/pharmacology , Coloring Agents/pharmacology , Protein Aggregates/drug effects , Alzheimer Disease/drug therapy , Drug Discovery , Humans , Molecular Docking Simulation , Molecular Dynamics Simulation
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