Evidence map›Paper›PMID 28266786›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2017

Exploring Protein-Nanoparticle Interactions with Coarse-Grained Protein Folding Models.

Shuai Wei, Logan S Ahlstrom, Charles L Brooks

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Nanoparticle-Cell Interactions: Relevance for Public Health.The journal of physical chemistry. B · 2018
    Review
  9. Machine Learning and Artificial Intelligence in Nanomedicine.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    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

3 authors.

Shuai WeiDepartment of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA.
Logan S AhlstromDepartment of Chemistry, University of Michigan, Ann Arbor, MI, 48109, USA.
Charles L BrooksDepartment of Chemistry and Biophysics Program, University of Michigan, Ann Arbor, MI, 48109, USA.

Funding

The Role of Conditional Disorder in the Acid Stress-Sensing Chaperone HdeAF32GM108298 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AHLSTROM, LOGAN S · 2014 to 2015
$71k
NIGMS NIH HHS F32 GM108298
6 · The paper itself

Abstract

Understanding the fundamental biophysics behind protein-nanoparticle (NP) interactions is essential for the design and engineering bio-NP systems. The authors describe the development of a coarse-grained protein-NP model that utilizes a structure centric protein model. A key feature of the protein-NP model is the quantitative inclusion of the hydrophobic character of residues in the protein and their interactions with the NP surface. In addition, the curvature of the NP is taken into account, capturing the protein behavior on NPs of different size. The authors evaluate this model by comparison with experimental results for structure and adsorption of a model protein interacting with an NP. It is demonstrated that the simulation results recapitulate the structure of the small α/β protein GB1 on the NP for data from circular dichroism and fluorescence spectroscopy. In addition, the calculated protein adsorption free energy agrees well with the experimental value. The authors predict the dependence of protein folding on the NP size, surface chemistry, and temperature. The model has the potential to guide NP design efforts by predicting protein behavior on NP surfaces with various chemical properties and curvatures.

Indexed as

Molecular Dynamics SimulationHydrophobic and Hydrophilic InteractionsNanoparticlesProtein FoldingProteinsThermodynamicsProteinscoarse-grained simulationfree energynanoparticlesprotein coronathermodynamics

Identifiers

PMID28266786
PMCPMC5551056

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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.