scholarly journals Amylin–Aβ oligomers at atomic resolution using molecular dynamics simulations: a link between Type 2 diabetes and Alzheimer's disease

2016 ◽  
Vol 18 (4) ◽  
pp. 2330-2338 ◽  
Author(s):  
Michal Baram ◽  
Yoav Atsmon-Raz ◽  
Buyong Ma ◽  
Ruth Nussinov ◽  
Yifat Miller
Keyword(s):  
Alzheimer’S Disease ◽  
Type 2 Diabetes ◽  
Alzheimer's Disease ◽  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Single Layer ◽  
Atomic Resolution ◽  
Aβ Oligomers ◽  
Dynamics Simulations

Aβ1–42 oligomers prefer to interact with Amylin1–37 oligomers to form single layer conformations.

scholarly journals Insight into Cross-Amyloid Interactions and Morphologies: Molecular Dynamics Simulations of Model Peptide Fragments of Amyloid-β (Aβ16-22) and Islet Amyloid Polypeptide (IAPP20-29)

2021 ◽  
Author(s):  
N. Cramer ◽  
G. Kawecki ◽  
K. M. King ◽  
D. R. Bevan ◽  
A.M. Brown
Keyword(s):  
Alzheimer’S Disease ◽  
Type 2 Diabetes ◽  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Islet Amyloid Polypeptide ◽  
Islet Amyloid ◽  
Amyloid Oligomers ◽  
Dynamics Simulations ◽  
Insight Into

AbstractAmyloid-beta (Aβ) and islet amyloid polypeptide (IAPP) are small peptides, classified as amyloids, that have the potential to self-assemble and form cytotoxic species, such as small soluble oligomers and large insoluble fibrils. The formation of Aβ aggregates facilitates the progression of Alzheimer’s disease (AD), while IAPP aggregates induce pancreatic β-cell apoptosis, leading to exacerbation of Type 2 diabetes (T2D). Cross-amyloid interactions between Aβ and IAPP have been described both in vivo and in vitro, implying the role of Aβ or IAPP as modulators of cytotoxic self-aggregation of each peptide, and suggesting that Aβ-IAPP interactions are a potential molecular link between AD and T2D. Using molecular dynamics simulations, “hot spot” regions of the two peptides were studied to understand the formation of hexamers in a heterogenous and homogenous peptide-containing environment. Systems of only Aβ(16-22) peptides formed antiparallel, β-barrel-like structures, while systems of only IAPP(20-29) peptides formed stacked, parallel beta strands and had relatively unstable aggregation structures after 2 μs of simulation time. Systems containing both Aβ and IAPP (1:1 ratio) hexamers showed antiparallel, β-barrel-like structures, with an interdigitated arrangement of Aβ(16-22) and IAPP(20-29). These β-barrel structures have features of cytotoxic amyloid species identified in previous literature. Ultimately, this work seeks to provide atomistic insight into both the mechanism behind cross-amyloid interactions and structural morphologies of these toxic amyloid species.Statement of SignificanceMolecular knowledge, biophysical characterization, structural morphologies, and formation pathways of amyloid oligomers - specifically low-molecular weight, cross-amyloid oligomers - remain preliminary and undefined. Characterizing interactions between homogenous and heterogenous amyloid oligomers is of great interest given that certain oligomer morphologies contribute to cytotoxicity, eventually resulting in comorbid diseases such as Alzheimer’s disease (AD) and Type 2 Diabetes Mellitus (T2DM). Utilizing model systems (e.g., fragments of full-length peptides) and molecular dynamics (MD) simulations to probe the biophysical underpinnings of cross-amyloid oligomer structures is the first step in understanding the dynamics, stability, and potential modes of cytotoxicity of these species, providing important insights into targetable biomolecular structures.

Destabilization of Alzheimer’s Aβ42 protofibrils with acyclovir, carmustine, curcumin, and tetracycline: Insights from molecular dynamics simulations

2021 ◽  
Author(s):  
Ishrat Jahan ◽  
Shahid M Nayeem
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Molecular Dynamics ◽  
Neurodegenerative Diseases ◽  
Molecular Dynamics Simulations ◽  
Amyloid Β ◽  
Neural Tissue ◽  
Amyloid Β Peptide ◽  
Characteristic Symptom ◽  
Dynamics Simulations

One of the most common dementia among neurodegenerative diseases is Alzheimer’s disease (AD). The characteristic symptom of AD is the deposition and aggregation of amyloid-β-peptide in the neural tissue. A...

scholarly journals Targeting N-Terminal Human Maltase-Glucoamylase to Unravel Possible Inhibitors Using Molecular Docking, Molecular Dynamics Simulations, and Adaptive Steered Molecular Dynamics Simulations

2021 ◽  
Vol 9 ◽  
Author(s):  
Shitao Zhang ◽  
Yi Wang ◽  
Lu Han ◽  
Xueqi Fu ◽  
Song Wang ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Md Simulations ◽  
Steered Molecular Dynamics ◽  
Glucosidase Inhibitors ◽  
Dynamics Simulations ◽  
Multiple Drugs ◽  
Loop 2

There are multiple drugs for the treatment of type 2 diabetes, including traditional sulfonylureas biguanides, glinides, thiazolidinediones, α-glucosidase inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, dipeptidyl peptidase IV (DPP-4) inhibitors, and sodium-glucose cotransporter 2 (SGLT2) inhibitors. α-Glucosidase inhibitors have been used to control postprandial glucose levels caused by type 2 diabetes since 1990. α-Glucosidases are rather crucial in the human metabolic system and are principally found in families 13 and 31. Maltase-glucoamylase (MGAM) belongs to glycoside hydrolase family 31. The main function of MGAM is to digest terminal starch products left after the enzymatic action of α-amylase; hence, MGAM becomes an efficient drug target for insulin resistance. In order to explore the conformational changes in the active pocket and unbinding pathway for NtMGAM, molecular dynamics (MD) simulations and adaptive steered molecular dynamics (ASMD) simulations were performed for two NtMGAM-inhibitor [de-O-sulfonated kotalanol (DSK) and acarbose] complexes. MD simulations indicated that DSK bound to NtMGAM may influence two domains (inserted loop 1 and inserted loop 2) by interfering with the spiralization of residue 497–499. The flexibility of inserted loop 1 and inserted loop 2 can influence the volume of the active pocket of NtMGAM, which can affect the binding progress for DSK to NtMGAM. ASMD simulations showed that compared to acarbose, DSK escaped from NtMGAM easily with lower energy. Asp542 is an important residue on the bottleneck of the active pocket of NtMGAM and could generate hydrogen bonds with DSK continuously. Our theoretical results may provide some useful clues for designing new α-glucosidase inhibitors to treat type 2 diabetes.

Sign in / Sign up

Export Citation Format

Share Document