Evidence map›Paper›PMID 30880872›Full record

ArticleChemistry of materials : a publication of the American Chemical Society2017

Protein-Imprinted Polymers: The Shape of Things to Come?

Heidi R Culver, Nicholas A Peppas

Open access · greenAbstract read
In one paragraph

Article in Chemistry of materials : a publication of the American Chemical Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
7.6field-weighted citation impact, top 1% of its field
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

45 citing papers in PubMed, 143 citations in OpenAlex.

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  19. Bio-Inspired Imprinting Materials for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
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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

2 authors at 1 institution in 1 country.

Heidi R CulverInstitute for Biomaterials, Drug Delivery, and Regenerative Medicine, C0800, The University of Texas at Austin, Austin, Texas 78712, United States.
Nicholas A PeppasInstitute for Biomaterials, Drug Delivery, and Regenerative Medicine, C0800, The University of Texas at Austin, Austin, Texas 78712, United States.ORCID 0000-0003-0894-5626
The University of Texas at Austin · US

Funding

Sensor arrays based on molecularly imprinted polymers for diagnosis of Sjogren's syndromeR01EB022025 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI ANSLYN, ERIC V., PEPPAS, NICHOLAS A · 2016 to 2019
$1.5M
NIBIB NIH HHS R01 EB022025
6 · The paper itself

Abstract

The potential to develop materials with antibody-like molecular recognition properties has helped sustain interest in protein-imprinted polymers over the past several decades. Unfortunately, despite persistent research, the field of noncovalent protein imprinting has seen limited success in terms of achieving materials with high selectivity and high affinity. In this Perspective, important yet sometimes overlooked aspects of the imprinting and binding processes are reviewed to help understand why there has been limited success. In particular, the imprinting and binding processes are viewed through the scope of free radical polymerization and hydrogel swelling theories to underscore the complexity of the synthesis and behavior of protein-imprinted polymers. Additionally, we review the metrics of success commonly used in protein imprinting literature (i.e., adsorption capacity, imprinting factor, and selectivity factor) and consider the relevance of each to the characterization of an imprinted polymer's recognition characteristics. Throughout, common shortcomings are highlighted, and experiments that could help verify or disprove the efficacy of noncovalent protein imprinting are discussed.

Identifiers

PMID30880872
PMCPMC6420229
OpenAlexW2711239036

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.