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Kumar N, Khatua P, Sinha SK. Can local heating and molecular crowders disintegrate amyloid aggregates? Chem Sci 2024; 15:6095-6105. [PMID: 38665536 PMCID: PMC11040654 DOI: 10.1039/d4sc00103f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 03/18/2024] [Indexed: 04/28/2024] Open
Abstract
The present study employs a blend of molecular dynamics simulations and a theoretical model to explore the potential disintegration mechanism of a matured Aβ octamer, aiming to offer a strategy to combat Alzheimer's disease. We investigate local heating and crowding effects on Aβ disintegration by selectively heating key Aβ segments and varying the concentration of sodium dodecyl sulphate (SDS), respectively. Despite initiation of disruption, Aβ aggregates resist complete disintegration during local heating due to rapid thermal energy distribution to the surrounding water. Conversely, although SDS molecules effectively inhibit Aβ aggregation at higher concentration through micelle formation, they fail to completely disintegrate the aggregate due to the exceedingly high energy barrier. To address the sampling challenge posed by the formidable energy barrier, we have performed well-tempered metadynamics simulations. Simulations reveal a multi-step disintegration mechanism for the Aβ octamer, suggesting a probable sequence: octamer → pentamer/hexamer ⇌ tetramer → monomer, with a rate-determining step constituting 45 kJ mol-1 barrier during the octamer to pentamer/hexamer transition. Additionally, we have proposed a novel two-state mean-field model based on Ising spins that offers an insight into the kinetics of the Aβ growth process and external perturbation effects on disintegration. Thus, the current simulation study, coupled with the newly introduced mean-field model, offers an insight into the detailed mechanisms underlying the Aβ aggregation process, guiding potential strategies for effective disintegration of Aβ aggregates.
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Affiliation(s)
- Naresh Kumar
- Department of Chemistry, Theoretical and Computational Biophysical Chemistry Group, Indian Institute of Technology Ropar Rupnagar Punjab 140001 India +91-01881-232066
| | - Prabir Khatua
- Department of Chemistry, GITAM School of Science, GITAM (Deemed to be University) Bengaluru 562163 India
| | - Sudipta Kumar Sinha
- Department of Chemistry, Theoretical and Computational Biophysical Chemistry Group, Indian Institute of Technology Ropar Rupnagar Punjab 140001 India +91-01881-232066
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2
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Yu Y, Xia Y, Liang G. Exploring novel lead scaffolds for SGLT2 inhibitors: Insights from machine learning and molecular dynamics simulations. Int J Biol Macromol 2024; 263:130375. [PMID: 38403210 DOI: 10.1016/j.ijbiomac.2024.130375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/31/2024] [Accepted: 02/20/2024] [Indexed: 02/27/2024]
Abstract
Sodium-glucose cotransporter 2 (SGLT2) plays a pivotal role in mediating glucose reabsorption within the renal filtrate, representing a well-known target in type 2 diabetes and heart failure. Recent emphasis has been directed toward designing SGLT2 inhibitors, with C-glycoside inhibitors emerging as front-runners. The architecture of SGLT2 has been successfully resolved using cryo-electron microscopy. However, comprehension of the pharmacophores within the binding site of SGLT2 remains unclear. Here, we use machine learning and molecular dynamics simulations on SGLT2 bound with its inhibitors in preclinical or clinical development to shed light on this issue. Our dataset comprises 1240 SGLT2 inhibitors amalgamated from diverse sources, forming the basis for constructing machine learning models. SHapley Additive exPlanation (SHAP) elucidates the crucial fragments that contribute to inhibitor activity, specifically Morgan_3, 162, 310, 325, 366, 470, 597, 714, 926, and 975. Furthermore, the computed binding free energies and per-residue contributions for SGLT2-inhibitor complexes unveil crucial fragments of inhibitors that interact with residues Asn-75, His-80, Val-95, Phe-98, Val-157, Leu-274, and Phe-453 in the binding site of SGLT2. This comprehensive investigation enhances understanding of the binding mechanism for SGLT2 inhibitors, providing a robust framework for evaluating and discovering novel lead scaffolds within this domain.
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Affiliation(s)
- Yuandong Yu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, China
| | - Yuting Xia
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, China
| | - Guizhao Liang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, Bioengineering College, Chongqing University, Chongqing 400044, China.
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3
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Tagad A, Singh RK, Patwari GN. Binary Matrix Method to Enumerate, Hierarchically Order, and Structurally Classify Peptide Aggregation. J Chem Inf Model 2022; 62:1585-1594. [PMID: 35232014 DOI: 10.1021/acs.jcim.2c00069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Protein aggregation is a common and complex phenomenon in biological processes, yet a robust analysis of this aggregation process remains elusive. The commonly used methods such as center-of-mass to center-of-mass (COM-COM) distance, the radius of gyration (Rg), hydrogen bonding (HB), and solvent accessible surface area do not quantify the aggregation accurately. Herein, a new and robust method that uses an aggregation matrix (AM) approach to investigate peptide aggregation in a MD simulation trajectory is presented. An nxn two-dimensional AM is created by using the interpeptide Cα-Cα cutoff distances, which are binarily encoded (0 or 1). These aggregation matrices are analyzed to enumerate, hierarchically order, and structurally classify the aggregates. Comparison of the present AM method suggests that it is superior to the HB method since it can incorporate nonspecific interactions and the Rg and COM-COM methods since the cutoff distance is independent of the length of the peptide. More importantly, the present method can structurally classify the peptide aggregates, which the conventional Rg, COM-COM, and HB methods fail to do. The unique selling point of this method is its ability to structurally classify peptide aggregates using two-dimensional matrices.
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Affiliation(s)
- Amol Tagad
- Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Reman Kumar Singh
- Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - G Naresh Patwari
- Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
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Ren B, Tang Y, Zhang D, Liu Y, Zhang Y, Chen H, Hu R, Zhang M, Zheng J. Conformational-Specific Self-Assembled Peptides as Dual-Mode, Multi-target Inhibitors and Detectors for Different Amyloid Pro-teins. J Mater Chem B 2022; 10:1754-1762. [DOI: 10.1039/d1tb02775a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Prevention and detection of misfolded amyloid proteins and their β-structure-rich aggregates are the two promising but differ-ent (pre)clinical strategies to treat and diagnose neurodegenerative diseases including Alzheimer’s diseases (AD) and...
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Abstract
Self-assembly of proteins and peptides into the amyloid fold is a widespread phenomenon in the natural world. The structural hallmark of self-assembly into amyloid fibrillar assemblies is the cross-beta motif, which conveys distinct morphological and mechanical properties. The amyloid fibril formation has contrasting results depending on the organism, in the sense that it can bestow an organism with the advantages of mechanical strength and improved functionality or, on the contrary, could give rise to pathological states. In this chapter we review the existing information on amyloid-like peptide aggregates, which could either be derived from protein sequences, but also could be rationally or de novo designed in order to self-assemble into amyloid fibrils under physiological conditions. Moreover, the development of self-assembled fibrillar biomaterials that are tailored for the desired properties towards applications in biomedical or environmental areas is extensively analyzed. We also review computational studies predicting the amyloid propensity of the natural amino acid sequences and the structure of amyloids, as well as designing novel functional amyloid materials.
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Affiliation(s)
- C. Kokotidou
- University of Crete, Department of Materials Science and Technology Voutes Campus GR-70013 Heraklion Crete Greece
- FORTH, Institute for Electronic Structure and Laser N. Plastira 100 GR 70013 Heraklion Greece
| | - P. Tamamis
- Texas A&M University, Artie McFerrin Department of Chemical Engineering College Station Texas 77843-3122 USA
| | - A. Mitraki
- University of Crete, Department of Materials Science and Technology Voutes Campus GR-70013 Heraklion Crete Greece
- FORTH, Institute for Electronic Structure and Laser N. Plastira 100 GR 70013 Heraklion Greece
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Zhang H, Sang J, Li L, Jiang L, Lu F, He S, Cui W, Zhang X, Liu F. Molecular basis for the inhibitory effects of 5-hydroxycyclopenicillone on the conformational transition of Aβ 40 monomer. J Biomol Struct Dyn 2020; 39:6440-6451. [PMID: 32723218 DOI: 10.1080/07391102.2020.1799863] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Previous studies have indicated that 5-hydroxycyclopenicillone (HCP), an active compound derived from marine sponge, could inhibit oligomerization of amyloid β-protein (Aβ). However, the molecular basis for the interaction between HCP and Aβ remains unclear. Herein, all-atom molecular dynamics (MD) simulations were used to explore the conformational conversion of an Aβ40 monomer at different concentrations (0-40 mM) of HCP at the atomic level. It is confirmed that the conformational transition of the Aβ40 monomer is prevented by HCP in a concentration-dependent manner in silico. In 40 mM HCP solution, the initial α-helix-rich conformation of Aβ40 monomer is kept under the action of HCP. The intra-peptide hydrophobic collapse and D23-K28 salt bridge are prevented by HCP. Moreover, it is indicated that the non-polar binding energy dominates the binding between HCP and Aβ40 monomer as evaluated by molecular mechanics Poisson-Boltzmann surface area method. And, the residues of F4, Y10, V12, L17 and L34 in Aβ40 might contribute to the binding energy in HCP-Aβ40 complex. All these results elucidate the molecular mechanism underlying the inhibitory effects of HCP against the conformational transformation of Aβ40, providing a support that HCP may be developed as a potential anti-Aβ compound for the treatment of Aβ-related diseases.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Huitu Zhang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology of Ministry of Education; Tianjin Key Laboratory of Industrial Microbiology; College of Biotechnology, Tianjin University of Science & Technology, Tianjin, P. R. China
| | - Jingcheng Sang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology of Ministry of Education; Tianjin Key Laboratory of Industrial Microbiology; College of Biotechnology, Tianjin University of Science & Technology, Tianjin, P. R. China
| | - Li Li
- College of Marine and Environmental Sciences, Tianjin University of Science & Technology, Tianjin, P. R. China
| | - Luying Jiang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology of Ministry of Education; Tianjin Key Laboratory of Industrial Microbiology; College of Biotechnology, Tianjin University of Science & Technology, Tianjin, P. R. China
| | - Fuping Lu
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology of Ministry of Education; Tianjin Key Laboratory of Industrial Microbiology; College of Biotechnology, Tianjin University of Science & Technology, Tianjin, P. R. China
| | - Shan He
- Li Dak Sum Yip Yio Chin Kenneth Li Marine Biopharmaceutical Research Center, Ningbo University, Ningbo, China
| | - Wei Cui
- Ningbo Key Laboratory of Behavioral Neuroscience, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China
| | - Xiaoqing Zhang
- Ningbo Key Laboratory of Behavioral Neuroscience, Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China
| | - Fufeng Liu
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Industrial Fermentation Microbiology of Ministry of Education; Tianjin Key Laboratory of Industrial Microbiology; College of Biotechnology, Tianjin University of Science & Technology, Tianjin, P. R. China
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Yao P, Zhang J, You S, Qi W, Su R, He Z. Ferrocene-modified peptides as inhibitors against insulin amyloid aggregation based on molecular simulation. J Mater Chem B 2020; 8:3076-3086. [PMID: 32202581 DOI: 10.1039/d0tb00144a] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Peptide-based inhibitors have gradually been implicated as drugs for treating protein folding diseases because of their favorable biocompatibility and low toxicity. To develop potential therapeutic strategies for amyloid-related disorders, short peptides modified by Fc, ferrocene-l-Phe-l-Phe (Fc-FF) and ferrocene-l-Phe-l-Tyr (Fc-FY), were used as inhibitors for the investigation of the aggregation behavior of insulin. Firstly, molecular docking predicted the interaction between both Fc-peptides and insulin. Then, the experimental data from ThT, DLS, CD and TEM confirmed that Fc-FF and Fc-FY effectively inhibited insulin fibrillation and disaggregated mature insulin fibrils. Based on a dose-dependent manner, both Fc-peptides can strongly inhibit insulin fibrillation, extend lag phase time, reduce final fibril formation (beyond 99% by Fc-peptides of 400 µM), decrease the formation of high-content β-sheet structures and reduce the size of insulin fibrils. Additionally, we found that compared with Fc-FY, the better inhibitory effect of Fc-FF at concentration below 400 µM was mainly resulted from the difference in π-π interaction and hydrogen bonds between Fc-peptides and insulin, according to molecular dynamics analysis. Our results demonstrated Fc-peptides, Fc-FF and Fc-FY, may play effective roles in the development of new therapeutic drugs or strategies for amyloid-related disorders, and the molecular dynamics simulation may be helpful for designing appropriate inhibitors of anti-amyloidosis diseases.
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Affiliation(s)
- Pin Yao
- Chemical Engineering Research Centre, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China.
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Jakubowski J, Orr AA, Le DA, Tamamis P. Interactions between Curcumin Derivatives and Amyloid-β Fibrils: Insights from Molecular Dynamics Simulations. J Chem Inf Model 2020; 60:289-305. [PMID: 31809572 PMCID: PMC7732148 DOI: 10.1021/acs.jcim.9b00561] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Indexed: 12/24/2022]
Abstract
The aggregation of amyloid-β (Aβ) peptides into senile plaques is a hallmark of Alzheimer's disease (AD) and is hypothesized to be the primary cause of AD related neurodegeneration. Previous studies have shown the ability of curcumin to both inhibit the aggregation of Aβ peptides into oligomers or fibrils and reduce amyloids in vivo. Despite the promise of curcumin and its derivatives to serve as diagnostic, preventative, and potentially therapeutic AD molecules, the mechanism by which curcumin and its derivatives bind to and inhibit Aβ fibrils' formation remains elusive. Here, we investigated curcumin and a set of curcumin derivatives in complex with a hexamer peptide model of the Aβ1-42 fibril using nearly exhaustive docking, followed by multi-ns molecular dynamics simulations, to provide atomistic-detail insights into the molecules' binding and inhibitory properties. In the vast majority of the simulations, curcumin and its derivatives remain firmly bound in complex with the fibril through primarily three different principle binding modes, in which the molecules interact with residue domain 17LVFFA21, in line with previous experiments. In a small subset of these simulations, the molecules partly dissociate the outermost peptide of the Aβ1-42 fibril by disrupting β-sheets within the residue domain 12VHHQKLVFF20. A comparison between binding modes leading or not leading to partial dissociation of the outermost peptide suggests that the latter is attributed to a few subtle key structural and energetic interaction-based differences. Interestingly, partial dissociation appears to be either an outcome of high affinity interactions or a cause leading to high affinity interactions between the molecules and the fibril, which could partly serve as a compensation for the energy loss in the fibril due to partial dissociation. In conjunction with this, we suggest a potential inhibition mechanism of Αβ1-42 aggregation by the molecules, where the partially dissociated 16KLVFF20 domain of the outermost peptide could either remain unstructured or wrap around to form intramolecular interactions with the same peptide's 29GAIIG33 domain, while the molecules could additionally act as a patch against the external edge of the second outermost peptide's 16KLVFF20 domain. Thereby, individually or concurrently, these could prohibit fibril elongation.
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Affiliation(s)
| | | | - Doan A. Le
- Artie McFerrin Department
of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122, United States
| | - Phanourios Tamamis
- Artie McFerrin Department
of Chemical Engineering, Texas A&M University, College Station, Texas 77843-3122, United States
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Revealing the Mechanism of EGCG, Genistein, Rutin, Quercetin, and Silibinin Against hIAPP Aggregation via Computational Simulations. Interdiscip Sci 2020; 12:59-68. [PMID: 31894470 DOI: 10.1007/s12539-019-00352-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 11/21/2019] [Accepted: 11/28/2019] [Indexed: 12/31/2022]
Abstract
To inhibit hIAPP aggregation and reduce toxicity of its oligomers are one of the potential strategies for the treatment of Type 2 diabetes (T2D). It has been reported that there is an effective inhibitory effect on hIAPP aggregation by five natural flavonoids, including Genistein, Rutin, Quercetin, Epigallocatechin gallate (EGCG), and Silibinin, which are widely found in our daily food. However, the detailed mechanisms to inhibit hIAPP aggregation remain unclear. Here, we explore the mechanisms of the five flavonoids against hIAPP aggregation by molecular docking and molecular dynamics simulations. We show that these flavonoids can disaggregate Chain A and Chain B of hIAPP to reduce the extended conformation by binding with two regions of hIAPP, Leu12-Ala13-Asn14 and Asn31-Val32-Gly33-Ser34-Asn35, with the inhibitory ability of Genistein > Rutin > Quercetin > EGCG > Silibinin. These five compounds exhibit a common mechanism for disaggregation of the hIAPP pentamer; that is, they loosen the two nearest peptide chains to potentially destroy the hIAPP oligomer. Mutations of eight key residues remarkably affected by the flavonoids indicate that the secondary structures of the hIAPP pentamer change from β-sheet to be random coil, thereby to destroy its structural stability; moreover, the 28th (Ser), 12th (Leu) and 32nd (Val) amino acids exhibit significant effects on structural stability of the hIAPP pentamer, providing an important hint that these amino acids can be considered as potential targets for design of new candidate inhibitors against hIAPP oligomers. This work is beneficial to understanding of mechanism of these inhibits against hIAPP aggregation and will facilitate screening, modification, and design of new inhibitors.
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10
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Jonnalagadda SVR, Gerace AJ, Thai K, Johnson J, Tsimenidis K, Jakubowski JM, Shen C, Henderson KJ, Tamamis P, Gkikas M. Amyloid Peptide Scaffolds Coordinate with Alzheimer’s Disease Drugs. J Phys Chem B 2019; 124:487-503. [DOI: 10.1021/acs.jpcb.9b10368] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
| | - Andrew James Gerace
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States
| | - Kathleen Thai
- Department of Biology, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States
| | - Jonathan Johnson
- Department of Biology, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States
| | - Kostas Tsimenidis
- Department of Chemistry, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States
| | - Joseph M. Jakubowski
- Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
| | - Christina Shen
- Department of Chemistry, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States
| | - Kendal J. Henderson
- Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
| | - Phanourios Tamamis
- Department of Chemical Engineering, Texas A&M University, College Station, Texas 77843, United States
| | - Manos Gkikas
- Department of Chemistry, University of Massachusetts Lowell, Lowell, Massachusetts 01854, United States
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Iscen A, Brue CR, Roberts KF, Kim J, Schatz GC, Meade TJ. Inhibition of Amyloid-β Aggregation by Cobalt(III) Schiff Base Complexes: A Computational and Experimental Approach. J Am Chem Soc 2019; 141:16685-16695. [DOI: 10.1021/jacs.9b06388] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Aysenur Iscen
- Department of Chemistry, Molecular Biosciences, Neurobiology, Biomedical Engineering, and Radiology, Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208-3113, United States
| | - Christopher R. Brue
- Department of Chemistry, Molecular Biosciences, Neurobiology, Biomedical Engineering, and Radiology, Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208-3113, United States
| | - Kaleigh F. Roberts
- Department of Chemistry, Molecular Biosciences, Neurobiology, Biomedical Engineering, and Radiology, Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208-3113, United States
| | - Joy Kim
- Department of Chemistry, Molecular Biosciences, Neurobiology, Biomedical Engineering, and Radiology, Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208-3113, United States
| | - George C. Schatz
- Department of Chemistry, Molecular Biosciences, Neurobiology, Biomedical Engineering, and Radiology, Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208-3113, United States
| | - Thomas J. Meade
- Department of Chemistry, Molecular Biosciences, Neurobiology, Biomedical Engineering, and Radiology, Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208-3113, United States
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12
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The interaction mechanism of oligopeptides containing aromatic rings with β-cyclodextrin and its derivatives. Food Chem 2019; 286:441-448. [DOI: 10.1016/j.foodchem.2019.02.021] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 01/31/2019] [Accepted: 02/05/2019] [Indexed: 01/31/2023]
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Karimi H, Heydari Dokoohaki M, Zolghadr AR, Ghatee MH. The interactions of an Aβ protofibril with a cholesterol-enriched membrane and involvement of neuroprotective carbazolium-based substances. Phys Chem Chem Phys 2019; 21:11066-11078. [PMID: 31090756 DOI: 10.1039/c9cp00859d] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Recent studies have shown that the aggregation of the amyloid-beta peptide (Aβ) in the brain cell membrane is responsible for the emergence of Alzheimer's disease (AD); the exploration of effective factors involved in the extension of the aggregation process and alternatively the examination of an effective inhibitor via theoretical and experimental tools are among the main research topics in the field of AD treatment. Therefore, in this study, we used all-atom molecular dynamics (MD) simulations to clarify the impact of cell membrane cholesterol on the interaction of Aβ with 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) as a membrane model. Moreover, the effect of the P7C3-S243 molecule on the abovementioned process was investigated. The simulation results disclosed the neuroprotective property of the P7C3-S243 molecule. The MD simulation results indicate that the interaction of cholesterol molecules with the Aβ oligomer is negligible and cannot enhance membrane rupture. However, strong hydrogen bonding between the POPC molecules and the oligomers led to membrane perturbation. According to our modellings, the P7C3-S243 molecular layer can protect the cell membrane by inhibiting the direct interaction between the bilayer and Aβ. In addition, free-energy calculations were conducted to determine the possible penetration of Aβ fibrils into the cholesterol-enriched membrane.
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Affiliation(s)
- Hedayat Karimi
- Department of Chemistry, Shiraz University, Shiraz, 71946-84795, Iran.
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Sukumaran SD, Faraj FL, Lee VS, Othman R, Buckle MJC. 2-Aryl-3-(arylideneamino)-1,2-dihydroquinazoline-4(3 H)-ones as inhibitors of cholinesterases and self-induced β-amyloid (Aβ) aggregation: biological evaluations and mechanistic insights from molecular dynamics simulations. RSC Adv 2018; 8:7818-7831. [PMID: 35539141 PMCID: PMC9078462 DOI: 10.1039/c7ra11872d] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 01/19/2018] [Indexed: 11/21/2022] Open
Abstract
A series of 2-aryl-3-(arylideneamino)-1,2-dihydroquinazoline-4(3H)-ones were evaluated as inhibitors of acetylcholinesterase (AChE), butyrylcholinesterase (BuChE) and self-induced β-amyloid (Aβ) aggregation. All the compounds were found to inhibit both forms of cholinesterase (IC50 in the range 4-32 μM) with some selectivity for BuChE. Most of the compounds also showed self-induced Aβ aggregation inhibitory activities, which were comparable or higher than those obtained for reference compounds, curcumin and myricetin. Docking and molecular dynamics (MD) simulation experiments suggested that the compounds are able to disrupt the dimer form of Aβ.
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Affiliation(s)
- Sri Devi Sukumaran
- Department of Pharmacy, Faculty of Medicine, University of Malaya 50603 Kuala Lumpur Malaysia +60-3-7967-4959
- Drug Design and Development Research Group (DDDRG), University of Malaya 50603 Kuala Lumpur Malaysia
| | - Fadhil Lafta Faraj
- Department of Chemistry, Faculty of Science, University of Diyala Diyala Governorate Iraq
| | - Vannajan Sanghiran Lee
- Drug Design and Development Research Group (DDDRG), University of Malaya 50603 Kuala Lumpur Malaysia
- Department of Chemistry, Faculty of Science, University of Malaya 50603 Kuala Lumpur Malaysia +60 163208906
| | - Rozana Othman
- Department of Pharmacy, Faculty of Medicine, University of Malaya 50603 Kuala Lumpur Malaysia +60-3-7967-4959
- Drug Design and Development Research Group (DDDRG), University of Malaya 50603 Kuala Lumpur Malaysia
| | - Michael J C Buckle
- Department of Pharmacy, Faculty of Medicine, University of Malaya 50603 Kuala Lumpur Malaysia +60-3-7967-4959
- Drug Design and Development Research Group (DDDRG), University of Malaya 50603 Kuala Lumpur Malaysia
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Shuaib S, Saini RK, Goyal D, Goyal B. Insights into the Inhibitory Mechanism of Dicyanovinyl-Substituted J147 Derivative against Aβ42
Aggregation and Protofibril Destabilization: A Molecular Dynamics Simulation Study. ChemistrySelect 2017. [DOI: 10.1002/slct.201601970] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Suniba Shuaib
- Department of Chemistry; School of Basic and Applied Sciences; Sri Guru Granth Sahib World University; Fatehgarh Sahib- 140406, Punjab India
| | - Rajneet Kaur Saini
- Department of Chemistry; School of Basic and Applied Sciences; Sri Guru Granth Sahib World University; Fatehgarh Sahib- 140406, Punjab India
| | - Deepti Goyal
- Department of Chemistry; School of Basic and Applied Sciences; Sri Guru Granth Sahib World University; Fatehgarh Sahib- 140406, Punjab India
| | - Bhupesh Goyal
- Department of Chemistry; School of Basic and Applied Sciences; Sri Guru Granth Sahib World University; Fatehgarh Sahib- 140406, Punjab India
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