Evidence map›Paper›PMID 33747754›Full record

ArticleComputational & theoretical chemistry2021

Computational analysis of functional monomers used in molecular imprinting for promising COVID-19 detection.

Hasan Cubuk, Mehmet Ozbil, Pinar Cakir Hatir

Open access · greenAbstract read
In one paragraph

Article in Computational & theoretical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

15 citing papers in PubMed, 29 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

3 authors at 2 institutions in 1 country.

Hasan CubukIstanbul Arel University, Department of Biomedical Engineering, Bioinspired Functional Polymers and Nanomaterials Laboratory, 34537 Buyukcekmece, Istanbul, Turkey.
Mehmet OzbilGebze Technical University, Institute of Biotechnology, 41400 Gebze, Kocaeli, Turkey.
Pinar Cakir HatirIstanbul Arel University, Department of Biomedical Engineering, Bioinspired Functional Polymers and Nanomaterials Laboratory, 34537 Buyukcekmece, Istanbul, Turkey.
Istanbul Arel University · TRGebze Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently caused a severe outbreak worldwide. There are still several challenges in COVID-19 diagnoses, such as limited reagents, equipment, and long turnaround times. In this research, we propose to design molecularly imprinted polymers as a novel approach for the rapid and accurate detection of SARS-CoV-2. For this purpose, we investigated molecular interactions between the target spike protein, receptor-binding domain of the virus, and the common functional monomers used in molecular imprinting by a plethora of computational analyses; sequence analysis, molecular docking, and molecular dynamics (MD) simulations. Our results demonstrated that AMPS and IA monomers gave promising results on the SARS-CoV-2 specific TEIYQAGST sequence for further analysis. Therefore, we propose an epitope approach-based synthesis route for specific recognition of SARS-CoV-2 by using AMPS and IA as functional monomers and the peptide fragment of the TEIYQAGST sequence as a template molecule.

Indexed as

Computational analysesCOVID-19Molecular imprintingMolecular interactionsSARS-CoV-2

Identifiers

PMID33747754
PMCPMC7960027
OpenAlexW3136806802

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.