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

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

doi:10.1016/j.xcrp.2024.102204

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

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

^*Corresponding author for this work

Department of Chemistry and Materials Science

University of Nottingham

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Cell Reports Physical Science
DOIs	https://doi.org/10.1016/j.xcrp.2024.102204
Publication status	Published - 10 Sept 2024

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10.1016/j.xcrp.2024.102204

Cite this

Xue, X., Duncan, J. D., Coleman, C. M., Contreas, L., Blackburn, C., Vivero-Lopez, M., Williams, P. M., Ball, J. K., Alexander, C., & Alexander, M. R. (2024). Discovery and computational modeling of adsorbent polymers that effectively immobilize SARS-CoV-2, with potential practical applications. Cell Reports Physical Science. https://doi.org/10.1016/j.xcrp.2024.102204

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AU - Xue, Xuan

AU - Duncan, Joshua D.

AU - Coleman, Christopher M.

AU - Contreas, Leonardo

AU - Blackburn, Chester

AU - Vivero-Lopez, Maria

AU - Williams, Philip M.

AU - Ball, Jonathan K.

AU - Alexander, Cameron

AU - Alexander, Morgan R.

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