Evidence map›Paper›PMID 33727072›Full record

ArticleMethods (San Diego, Calif.)2022

Hybrid resolution molecular dynamics simulations of amyloid proteins interacting with membranes.

Mohtadin Hashemi, Yuri L Lyubchenko

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mohtadin HashemiDepartment of Pharmaceutical Science, University of Nebraska Medical Center, 986025 Nebraska Medical Center, Omaha, NE 68198-6025, United States.
Yuri L LyubchenkoDepartment of Pharmaceutical Science, University of Nebraska Medical Center, 986025 Nebraska Medical Center, Omaha, NE 68198-6025, United States. Electronic address: ylyubchenko@unmc.edu.

Funding

Protein Self-Assembly into NanoaggregatesR01GM096039 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI LYUBCHENKO, YURI L · 2011 to 2018
$2.9M
APOBEC3-Nucleic Acid Interactions and Molecular Mechanisms of HIV RestrictionR01GM118006 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI LYUBCHENKO, YURI L · 2016 to 2019
$1.5M
NIGMS NIH HHS R01 GM096039NIGMS NIH HHS R01 GM118006
6 · The paper itself

Abstract

A broad range of human diseases, including Alzheimer's and Parkinson's diseases, arise from or have as key players intrinsically disordered proteins. The aggregation of these amyloid proteins into fibrillar aggregates are the key events of such diseases. Characterizing the conformation dynamics of the proteins involved is crucial for understanding the molecular mechanisms of aggregation, which in turn is important for drug development efforts against these diseases. Computational approaches have provided extensive detail about some steps of the aggregation process, however the biologically relevant elements responsible for the aggregation and or aggregation propagation have not been fully characterized. Here we describe a hybrid resolution molecular dynamics simulation method that can be employed to investigate the interaction of amyloid proteins with lipid membranes, shown to dramatically accelerate the aggregation propensity of amyloid proteins. The hybrid resolution method enables routine and accurate simulation of multi-protein and complex membrane systems, mimicking biologically relevant lipid membranes, on microsecond time scales. The hybrid resolution method was applied to computer modeling of the interactions of α -synuclein protein with a mixed lipid bilayer.

Indexed as

Intrinsically Disordered ProteinsParkinson DiseaseAmyloid beta-PeptidesAmyloidogenic ProteinsHumansLipid BilayersMolecular Dynamics SimulationAmyloid beta-PeptidesAmyloidogenic ProteinsIntrinsically Disordered ProteinsLipid BilayersAmyloid oligomerCoarse-grainedHybrid resolutionLipid bilayerMolecular dynamicsNeurodegenerationProtein-lipid interaction

Identifiers

PMID33727072
PMCPMC8435541

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.