Discovery and Computational Modelling of Adsorbent Polymers that Effectively Immobilize SARS-CoV-2 with Potential Practical Applications
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Publication date
2024-09-18Creators
Xue, Xuan
Duncan, Joshua D.
Coleman, Christopher M.
Contreas, Leonardo
Blackburn, Chester
Vivero-Lopez, Maria
Williams, Philip M.
Ball, Jonathan K.
Alexander, Cameron
Alexander, Morgan R.
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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-function: binding virions strongly and its speed
to inactivate adsorbed SARS-CoV-2. Computational models are built based on the
experimental screening data. Polymers which 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-d]azepin-2(1H)-
yl)-2-methylprop-2-en-1-one) (piBOHPAMP) and poly(N-(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 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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Subjects
- Protective coatings
- Polymers in medicine
- Infection – Prevention
- COVID-19 (Disease) -- Prevention
- polymer microarray, high-throughput screening, computational modelling, virtual screening, virion binding, virus immobilization, virucidal effect, SARS-CoV-2
- Biological Sciences::Microbiology::Virology
- Technologies::Biotechnology::Medical biotechnology
- Q Science::QR Microbiology::QR355 Virology
Divisions
- University of Nottingham, UK Campus::Faculty of Science::School of Pharmacy
Deposit date
2024-09-18Data type
Experimental data and model codeFunders
- Engineering & Physical Sciences Research Council
Grant number
- EP/V055372/1
Data collection method
VariousResource languages
- en