Evidence map›Paper›PMID 38489767›Full record

ArticleACS sensors2024

Computationally Designed Epitope-Mediated Imprinted Polymers versus Conventional Epitope Imprints for the Detection of Human Adenovirus in Water and Human Serum Samples.

Ekin Sehit, Guiyang Yao, Giovanni Battocchio, Rahil Radfar, Jakob Trimpert, Maria A Mroginski, Roderich Süssmuth, Zeynep Altintas

Open access · hybridAbstract read
In one paragraph

Article in ACS sensors, 2024. 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
3.9field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Ekin SehitInstitute of Chemistry, Technical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.ORCID 0000-0002-8981-1613
Guiyang YaoInstitute of Chemistry, Technical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.
Giovanni BattocchioInstitute of Chemistry, Technical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.
Rahil RadfarInstitute of Chemistry, Technical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.
Jakob TrimpertInstitute of Virology, Free University of Berlin, 14163 Berlin, Germany.
Maria A MroginskiInstitute of Chemistry, Technical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.ORCID 0000-0002-7497-5631
Roderich SüssmuthInstitute of Chemistry, Technical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.ORCID 0000-0001-7027-2069
Zeynep AltintasInstitute of Chemistry, Technical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.ORCID 0000-0002-5461-3289
Technische Universität Berlin · DEHochschule für Angewandte Wissenschaften Kiel · DEFreie Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of pathogenic viruses for point-of-care applications has attracted great attention since the COVID-19 pandemic. Current virus diagnostic tools are laborious and expensive, while requiring medically trained staff. Although user-friendly and cost-effective biosensors are utilized for virus detection, many of them rely on recognition elements that suffer major drawbacks. Herein, computationally designed epitope-imprinted polymers (eIPs) are conjugated with a portable piezoelectric sensing platform to establish a sensitive and robust biosensor for the human pathogenic adenovirus (HAdV). The template epitope is selected from the knob part of the HAdV capsid, ensuring surface accessibility. Computational simulations are performed to evaluate the conformational stability of the selected epitope. Further, molecular dynamics simulations are executed to investigate the interactions between the epitope and the different functional monomers for the smart design of eIPs. The HAdV epitope is imprinted via the solid-phase synthesis method to produce eIPs using in silico-selected ingredients. The synthetic receptors show a remarkable detection sensitivity (LOD: 10

Indexed as

Adenoviruses, HumanEpitopesBiosensing TechniquesHumansLimit of DetectionMolecular Dynamics SimulationMolecular ImprintingMolecularly Imprinted PolymersPolymersSARS-CoV-2EpitopesMolecularly Imprinted PolymersPolymersepitope imprintingin silico-designed epitope-mediated adenovirus receptorsmolecular dynamicsQCM sensorvirus detection

Identifiers

PMID38489767
PMCPMC11059108
OpenAlexW4392862811

What OpenQuestion holds

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LicenceCC BY
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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.