Evidence map›Paper›PMID 35167074›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

From Quantum Mechanics, Classical Mechanics, and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases.

Orkid Coskuner-Weber, M Gokhan Habiboglu, David Teplow, Vladimir N Uversky

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Orkid Coskuner-WeberMolecular Biotechnology, Turkish-German University, Istanbul, Turkey. weber@tau.edu.tr.
M Gokhan HabibogluElectrical and Electronics Engineering, Turkish-German University, Istanbul, Turkey.
David TeplowDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Vladimir N UverskyDepartment of Molecular Medicine and USF Health Byrd Alzheimer Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The amyloid β-protein is an intrinsically disordered protein that has the potential to assemble into myriad structures, including oligomers and fibrils. These structures are neurotoxic and are thought to initiate a cascade of events leading to Alzheimer's disease. Understanding this pathogenetic process and elucidating targets for drug therapy depends on elucidation of the structural dynamics of Aβ assembly. In this chapter, we describe work packages required to determine the three-dimensional structures of Aβ and of smaller bioactive fragments thereof, which may be important in AD pathogenesis. These packages include density functional theory, Car-Parrinello molecular dynamics simulations, temperature-dependent replica exchange molecular dynamics simulations, disorder predictors based on bioinformatics, and neural network deep learning.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesAmyloid beta-PeptidesArtificial IntelligenceComputational BiologyHumansMolecular Dynamics SimulationPeptide FragmentsAmyloid beta-PeptidesPeptide FragmentsCPMD simulationsDeep learningDFTDisorder predictorsT-REMD simulations

Identifiers

PMID35167074

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.