Evidence map›Paper›PMID 33877799›Full record

ArticleBiomacromolecules2021

Polymer Coatings on Virus-like Particle Nanoreactors at Low Ionic Strength-Charge Reversal and Substrate Access.

Pawel Kraj, Ekaterina Selivanovitch, Byeongdu Lee, Trevor Douglas

Abstract read
In one paragraph

Article in Biomacromolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Tailored Viral-like Particles as Drivers of Medical Breakthroughs.International journal of molecular sciences · 2024
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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

4 authors.

Pawel KrajDepartment of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington 47405, Indiana, United States.
Ekaterina SelivanovitchDepartment of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington 47405, Indiana, United States.
Byeongdu LeeX-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Argonne 60439, Illinois, United States.ORCID 0000-0003-2514-8805
Trevor DouglasDepartment of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington 47405, Indiana, United States.ORCID 0000-0002-7882-2704

Funding

Graduate Program in Quantitative and Chemical Biology at Indiana University BloomT32GM109825 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GIEDROC, DAVID P. · 2014 to 2018
$926k
NIGMS NIH HHS T32 GM109825
6 · The paper itself

Abstract

Virus-like particles (VLPs) are a class of biomaterials which serve as platforms for achieving the desired functionality through interior and exterior modifications. Through ionic strength-mediated electrostatic interactions, VLPs have been assembled into hierarchically ordered materials. This work builds on predictive models to prepare polymer-coated VLP clusters at very low ionic strength. Zeta potential measurements showed that the clusters carried a strongly positive charge, a complete charge reversal from the VLP building block. SAXS analysis confirmed polymer adsorption onto the VLP exterior. We then studied the activity of an encapsulated enzyme toward small molecular and macromolecular substrates to determine the effect of each component of the hierarchically assembled material. We found that while encapsulation and polymer coating did not have a large effect on access to the enzyme by its native, small molecular substrate, substrate modification with a macromolecule caused the polymer coating and encapsulation to affect the access to the enzyme.

Indexed as

NanotechnologyPolymersOsmolar ConcentrationScattering, Small AngleX-Ray DiffractionPolymers

Identifiers

PMID33877799
PMCPMC8238134

What OpenQuestion holds

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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.