Evidence map›Paper›PMID 34445432›Full record

ArticleInternational journal of molecular sciences2021

Computational Insight on the Interaction of Common Blood Proteins with Gold Nanoparticles.

Francesco Tavanti, Maria Cristina Menziani

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. 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.

Francesco TavantiCNR-NANO Research Center S3, Via Campi 213/a, 41125 Modena, Italy.ORCID 0000-0002-0594-5308
Maria Cristina MenzianiDepartment of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Via Campi 103, 41125 Modena, Italy.ORCID 0000-0003-3428-5297

Funding

Università Degli Studi di Modena e Reggio Emila FAR Junior 2018 "Computer-aided Rational Design of Functionalized Gold Nanoparticles as Inhibitors of Amy-loid-β Oligomerization for Alzheimer's Disease Treatment"
6 · The paper itself

Abstract

Protein interactions with engineered gold nanoparticles (AuNPs) and the consequent formation of the protein corona are very relevant and poorly understood biological phenomena. The nanoparticle coverage affects protein binding modalities, and the adsorbed protein sites influence interactions with other macromolecules and cells. Here, we studied four common blood proteins, i.e., hemoglobin, serum albumin, α1-antiproteinase, and complement C3, interacting with AuNPs covered by hydrophobic 11-mercapto-1-undecanesulfonate (MUS). We use Molecular Dynamics and the Martini coarse-grained model to gain quantitative insight into the kinetics of the interaction, the physico-chemical characteristics of the binding site, and the nanoparticle adsorption capacity. Results show that proteins bind to MUS-capped AuNPs through strong hydrophobic interactions and that they adapt to the AuNP surfaces to maximize the contact surface, but no dramatic change in the secondary structure of the proteins is observed. We suggest a new method to calculate the maximum adsorption capacity of capped AuNPs based on the effective surface covered by each protein, which better represents the realistic behavior of these systems.

Indexed as

Binding SitesBlood ProteinsComputational BiologyGoldHumansHydrophobic and Hydrophilic InteractionsMetal NanoparticlesModels, MolecularMolecular Dynamics SimulationProtein BindingProtein Structure, SecondaryBlood ProteinsGoldalbumincoarse-grained modelcomputer simulationhemoglobinmolecular dynamicsnanoparticleprotein-corona

Identifiers

PMID34445432
PMCPMC8395736

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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.