Evidence map›Paper›PMID 34473481›Full record

ArticleACS nano2021

Substrate Partitioning into Protein Macromolecular Frameworks for Enhanced Catalytic Turnover.

Ekaterina Selivanovitch, Masaki Uchida, Byeongdu Lee, Trevor Douglas

Abstract read
In one paragraph

Article in ACS nano, 2021. 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
  3. Review
  4. Review
  5. Article
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.

Ekaterina SelivanovitchDepartment of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington, Indiana 47405, United States.
Masaki UchidaDepartment of Chemistry and Biochemistry, California State University Fresno, Fresno, California 93740, Unites States.ORCID 0000-0003-0710-8834
Byeongdu LeeX-ray Science Division, Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois 60439, United States.ORCID 0000-0003-2514-8805
Trevor DouglasDepartment of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington, Indiana 47405, 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

Spatial partitioning of chemical processes is an important attribute of many biological systems, the effect of which is reflected in the high efficiency of enzymes found within otherwise chaotic cellular environments. Barriers, often provided through the formation of compartments or phase segregation, gate the access of macromolecules and small molecules within the cell and provide an added level of metabolic control. Taking inspiration from nature, we have designed virus-like particles (VLPs) as nanoreactor compartments that sequester enzyme catalysts and have used these as building blocks to construct 3D protein macromolecular framework (PMF) materials, which are structurally characterized using small-angle X-ray scattering (SAXS). The highly charged PMFs form a separate phase in suspension, and by tuning the ionic strength, we show positively charged molecules preferentially partition into the PMF, while negatively charged molecules are excluded. This molecular partitioning was exploited to tune the catalytic activity of enzymes enclosed within the individual particles in the PMF, the results of which showed that positively charged substrates had turnover rates that were 8500× faster than their negatively charged counterparts. Moreover, the catalytic PMF led to cooperative behavior resulting in charge dependent trends opposite to those observed with individual P22 nanoreactor particles.

Indexed as

Scattering, Small AngleCatalysisMacromolecular SubstancesOsmolar ConcentrationX-Ray DiffractionMacromolecular Substancescatalytic materialemergent propertyheterogeneous catalystpartition coefficientprotein macromolecular framework (PMF)virus-like particle (VLP)

Identifiers

PMID34473481
PMCPMC9136710

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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.