Evidence map›Paper›PMID 31780663›Full record

ArticleScientific reports2019

Computational screening of nanoparticles coupling to Aβ40 peptides and fibrils.

Soumyo Sen, Lela Vuković, Petr Král

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Soumyo SenUniversity of Illinois at Urbana-Champaign, NIH Center for Macromolecular Modeling and Bioinformatics, Beckman Institute, Urbana-Champaign, 61801, United States.
Lela VukovićUniversity of Texas at El Paso, Department of Chemistry and Biochemistry, El Paso, 79968, United States. lvukovic@utep.edu.
Petr KrálUniversity of Illinois at Chicago, Departments of Chemistry, Physics, Biopharmaceutical Sciences and Chemical Engineering, Chicago, 60607, United States. pkral@uic.edu.

Funding

Computational modeling of broad-spectrum non-toxic antiviral nanoparticles with a virucidal inhibition mechanismR03AI142553 · NIAID · UNIVERSITY OF TEXAS EL PASO · PI VUKOVIC, LELA · 2019 to 2020
$151k
NIAID NIH HHS R03 AI142553
6 · The paper itself

Abstract

Blocking the formation, growth, and breaking of amyloid fibrils by synthetic nanosystems could provide a treatment of neurodegenerative diseases. With this in mind, here atomistic molecular dynamics simulations are used to screen for nanoparticles (NPs), covered with different mixtures of ligands, including positively and negatively charged ligands, Aβ40-cut-peptide, and synthetic inhibitor ligands, in their selective coupling to Aβ40 peptides and their fibrils. The simulations reveal that only Aβ40-cut-peptide-covered NPs have strong and selective coupling to Aβ40 monomers. On the other hand, positive, positive-neutral, Janus, and peptide NPs couple to the beta sheet surfaces of Aβ40 fibrils and only the negative-neutral NPs couple to the fibril tips.

Indexed as

Molecular Dynamics SimulationAmino Acid SequenceAmyloidAmyloid beta-PeptidesBinding SitesHydrophobic and Hydrophilic InteractionsLigandsNanomedicineNanoparticlesPeptide FragmentsProtein BindingProtein Conformation, beta-StrandAmyloidAmyloid beta-Peptidesamyloid beta-protein (1-40)LigandsPeptide Fragments

Identifiers

PMID31780663
PMCPMC6883061

What OpenQuestion holds

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LicenceCC BY
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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.