Zhuo Li
Computed optical spectra of SARS-CoV-2 proteins
Li, Zhuo; Hirst, Jonathan D.
Authors
Professor JONATHAN HIRST JONATHAN.HIRST@NOTTINGHAM.AC.UK
Professor of Computational Chemistry
Abstract
© 2020 Elsevier B.V. Treatment for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes Covid-19, may well be predicated on knowledge of the structures of protein of this virus. However, often these cannot be determined easily or quickly. Herein, we provide calculated circular dichroism (CD) spectra in the far- and near-UV, and infra-red (IR) spectra in the amide I region for experimental structures and computational models of SARS-CoV-2 proteins. The near-UV CD spectra offer greatest sensitivity in assessing the accuracy of models.
Citation
Li, Z., & Hirst, J. D. (2020). Computed optical spectra of SARS-CoV-2 proteins. Chemical Physics Letters, 758, Article 137935. https://doi.org/10.1016/j.cplett.2020.137935
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 25, 2020 |
Online Publication Date | Aug 29, 2020 |
Publication Date | Nov 1, 2020 |
Deposit Date | Sep 1, 2020 |
Publicly Available Date | Aug 30, 2021 |
Journal | Chemical Physics Letters |
Print ISSN | 0009-2614 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 758 |
Article Number | 137935 |
DOI | https://doi.org/10.1016/j.cplett.2020.137935 |
Keywords | Physical and Theoretical Chemistry; General Physics and Astronomy |
Public URL | https://nottingham-repository.worktribe.com/output/4873035 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0009261420308502 |
Files
Jonathan Hirst Computed Optical Spectra Of
(771 Kb)
PDF
You might also like
Predicting bioactivity of antibiotic metabolites by molecular docking and dynamics
(2023)
Journal Article
AI4Green: An Open-Source ELN for Green and Sustainable Chemistry
(2023)
Journal Article
Machine learning for yield prediction for chemical reactions using in situ sensors
(2022)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search