Discovery and computational modeling of adsorbent polymers that effectively immobilize SARS-CoV-2, with potential practical applications

<h2>Summary</h2> Viral translocation is considered a common way for respiratory viruses to spread and contaminate the surrounding environment. Thus, the discovery of non-eluting polymers that immobilize severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) upon contact provides an opportunity to develop new coating materials for better infection control. Here, virion-binding polymers are discovered from an existing monomer library via experimental high-throughput screening. Among them, poly([2-diethylamino] ethyl acrylate) (pDEAEA) demonstrates dual functions: binding virions strongly and its speed to inactivate adsorbed SARS-CoV-2. Computational models are built based on the experimental screening data. Polymers that are predicted to be pro-adsorption by the virtual screening are poly(1-{4-[5-(4-methoxyphenyl)-1H-pyrazol-3-yl]piperidin-1-yl}prop-2-en-1-one) (pMPPPP), poly(1-(6-isobutyloctahydropyrrolo[3,4-<i>d</i>]azepin-2[1<i>H</i>]-yl)-2-methylprop-2-en-1-one) (piBOHPAMP), and poly(<i>N</i>-(3-((1-benzylpiperidin-4-yl)oxy)propyl)acrylamide) (pBPOPAm), and these are found to adsorb virions. However, due to limitations in the diversity of structures in the training set, the computational models are unable to predict the adsorption of virions for all polymer structures. Summarily, these findings indicate the utility of the methodology to identify coating polymers that effectively immobilize SARS-CoV-2, with potential practical applications (e.g., water and air filtration).

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Publication Details

Journal
Cell Reports Physical Science
Published
2024-09-01
DOI
https://doi.org/10.1016/j.xcrp.2024.102204
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Discovery and computational modeling of adsorbent polymers that effectively immobilize SARS-CoV-2, with potential practical applications

Morgan R. Alexander, Chester Blackburn, Philip M. Williams, Leonardo Contreas et al.
Cell Reports Physical Science
SARS-CoV-2 detection and testing
article

Discovery and computational modeling of adsorbent polymers that effectively immobilize SARS-CoV-2, with potential practical applications

Morgan R. Alexander, Chester Blackburn, Philip M. Williams, Leonardo Contreas, Xuan Xue, María Vivero-Lopez, Joshua D. Duncan, Jonathan K. Ball, Christopher M. Coleman, Cameron Alexander
article en

Abstract

<h2>Summary</h2> Viral translocation is considered a common way for respiratory viruses to spread and contaminate the surrounding environment. Thus, the discovery of non-eluting polymers that immobilize severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) upon contact provides an opportunity to develop new coating materials for better infection control. Here, virion-binding polymers are discovered from an existing monomer library via experimental high-throughput screening. Among them, poly([2-diethylamino] ethyl acrylate) (pDEAEA) demonstrates dual functions: binding virions strongly and its speed to inactivate adsorbed SARS-CoV-2. Computational models are built based on the experimental screening data. Polymers that are predicted to be pro-adsorption by the virtual screening are poly(1-{4-[5-(4-methoxyphenyl)-1H-pyrazol-3-yl]piperidin-1-yl}prop-2-en-1-one) (pMPPPP), poly(1-(6-isobutyloctahydropyrrolo[3,4-<i>d</i>]azepin-2[1<i>H</i>]-yl)-2-methylprop-2-en-1-one) (piBOHPAMP), and poly(<i>N</i>-(3-((1-benzylpiperidin-4-yl)oxy)propyl)acrylamide) (pBPOPAm), and these are found to adsorb virions. However, due to limitations in the diversity of structures in the training set, the computational models are unable to predict the adsorption of virions for all polymer structures. Summarily, these findings indicate the utility of the methodology to identify coating polymers that effectively immobilize SARS-CoV-2, with potential practical applications (e.g., water and air filtration).

Cell Reports Physical ScienceVol. 5(9)
University of Nottingham (GB), Queen's Medical Centre (GB), Xi’an Jiaotong-Liverpool University (CN)
Wellcome Trust, UK Research and Innovation
Openalex Percentile: Top 81%
SARS-CoV-2 detection and testing
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