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Zhong H, Liu H, Liu H. Molecular Mechanism of Tau Misfolding and Aggregation: Insights from Molecular Dynamics Simulation. Curr Med Chem 2024; 31:2855-2871. [PMID: 37031392 DOI: 10.2174/0929867330666230409145247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/01/2023] [Accepted: 02/27/2023] [Indexed: 04/10/2023]
Abstract
Tau dysfunction has a close association with many neurodegenerative diseases, which are collectively referred to as tauopathies. Neurofibrillary tangles (NFTs) formed by misfolding and aggregation of tau are the main pathological process of tauopathy. Therefore, uncovering the misfolding and aggregation mechanism of tau protein will help to reveal the pathogenic mechanism of tauopathies. Molecular dynamics (MD) simulation is well suited for studying the dynamic process of protein structure changes. It provides detailed information on protein structure changes over time at the atomic resolution. At the same time, MD simulation can also simulate various conditions conveniently. Based on these advantages, MD simulations are widely used to study conformational transition problems such as protein misfolding and aggregation. Here, we summarized the structural features of tau, the factors affecting its misfolding and aggregation, and the applications of MD simulations in the study of tau misfolding and aggregation.
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Affiliation(s)
- Haiyang Zhong
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Hongli Liu
- Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Huanxiang Liu
- Faculty of Applied Science, Macao Polytechnic University, Macao, SAR, 999078, China
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Oliva F, Musiani F, Giorgetti A, De Rubeis S, Sorokina O, Armstrong DJ, Carloni P, Ruggerone P. Modelling eNvironment for Isoforms (MoNvIso): A general platform to predict structural determinants of protein isoforms in genetic diseases. Front Chem 2023; 10:1059593. [PMID: 36700074 PMCID: PMC9868658 DOI: 10.3389/fchem.2022.1059593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 12/06/2022] [Indexed: 01/11/2023] Open
Abstract
The seamless integration of human disease-related mutation data into protein structures is an essential component of any attempt to correctly assess the impact of the mutation. The key step preliminary to any structural modelling is the identification of the isoforms onto which mutations should be mapped due to there being several functionally different protein isoforms from the same gene. To handle large sets of data coming from omics techniques, this challenging task needs to be automatized. Here we present the MoNvIso (Modelling eNvironment for Isoforms) code, which identifies the most useful isoform for computational modelling, balancing the coverage of mutations of interest and the availability of templates to build a structural model of both the wild-type isoform and the related variants.
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Affiliation(s)
- Francesco Oliva
- Department of Physics, University of Cagliari, Monserrato (CA), Italy,Institute of Neuroscience and Medicine INM-9, Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany
| | - Francesco Musiani
- Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
| | - Alejandro Giorgetti
- Institute of Neuroscience and Medicine INM-9, Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany,Department of Biotechnology, University of Verona, Verona, Italy
| | - Silvia De Rubeis
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, United States,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States,The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Oksana Sorokina
- The School of Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Douglas J. Armstrong
- Institute of Neuroscience and Medicine INM-9, Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany,The School of Informatics, University of Edinburgh, Edinburgh, United Kingdom,Simons Initiative for the Developing Brain, University of Edinburgh, Edinburgh, United Kingdom
| | - Paolo Carloni
- Institute of Neuroscience and Medicine INM-9, Institute for Advanced Simulations IAS-5, Forschungszentrum Jülich, Jülich, Germany,Department of Physics, RWTH Aachen University, Aachen, Germany,JARA-Institute: Molecular Neuroscience and Neuroimaging, Institute for Neuroscience and Medicine INM-11/JARA-BRAIN Institute JBI-2, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Paolo Ruggerone
- Department of Physics, University of Cagliari, Monserrato (CA), Italy,*Correspondence: Paolo Ruggerone,
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Dai Y, Xie Z, Liang L. Pore Formation Mechanism of A-Beta Peptide on the Fluid Membrane: A Combined Coarse-Grained and All-Atomic Model. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27123924. [PMID: 35745043 PMCID: PMC9231318 DOI: 10.3390/molecules27123924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/05/2022] [Accepted: 06/13/2022] [Indexed: 11/27/2022]
Abstract
In Alzheimer’s disease, ion permeability through the ionic channel formed by Aβ peptides on cellular membranes appears to underlie neuronal cell death. An understanding of the formation mechanism of the toxic ionic channel by Aβ peptides is very important, but remains unclear. Our simulation results demonstrated the dynamics and mechanism of channel formation by Aβ1-28 peptides on the DPPC and POPC membrane by the coarse-grained method. The ionic channel formation is driven by the gyration of the radius and solvent accessible molecular surface area of Aβ1-28 peptides. The ionic channel formation mechanism was explored by the free energy profile based on the distribution of the gyration of the radius and solvent accessible molecular surface area of Aβ1-28 peptides on the fluid membrane. The stability and water permeability of the ionic channel formed by Aβ peptides was investigated by all-atomic model simulation. Our simulation showed that the ionic channel formed by Aβ1-28 peptides is very stable and has a good water permeability. This could help us to understand the pore formation mechanism by Aβ1-28 peptides on the fluidic membrane. It also provides us with a guideline by which to understand the toxicity of Aβ1-28 peptides’ pores to the cell.
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Affiliation(s)
- Yuxi Dai
- College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China;
| | - Zhexing Xie
- College of Accounting, Hangzhou Dianzi University, Hangzhou 310018, China;
| | - Lijun Liang
- College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China;
- Correspondence:
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Tachi Y, Itoh SG, Okumura H. Molecular dynamics simulations of amyloid-β peptides in heterogeneous environments. Biophys Physicobiol 2022; 19:1-18. [PMID: 35666692 PMCID: PMC9135617 DOI: 10.2142/biophysico.bppb-v19.0010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 03/31/2022] [Indexed: 12/01/2022] Open
Affiliation(s)
- Yuhei Tachi
- Department of Physics, Graduate school of Science, Nagoya University
| | - Satoru G. Itoh
- Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences
| | - Hisashi Okumura
- Institute for Molecular Science, National Institutes of Natural Sciences
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