Author: Stuart MacGowan (smacgowan@dundee.ac.uk)
This repository contains research code and data used to analyse the impact of ACE2 variants on SARS-CoV-2 infection. The primary focus is on exploring how missense variants in ACE2 influence interaction with the SARS-CoV-2 Spike protein and their potential contribution to genetic risk factors in COVID-19.
The detailed analysis and figures related to this study are available in the paper titled:
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"Missense variants in ACE2 are predicted to encourage and inhibit interaction with SARS-CoV-2 Spike and contribute to genetic risk in COVID-19".
This work is available as a preprint on bioRxiv.
The findings of this research have been published in the following journal:
- MacGowan SA, Barton MI, Kutuzov M, Dushek O, van der Merwe PA, et al. (2022). "Missense variants in human ACE2 strongly affect binding to SARS-CoV-2 Spike providing a mechanism for ACE2 mediated genetic risk in Covid-19: A case study in affinity predictions of interface variants." PLOS Computational Biology 18(3): e1009922. Link to Publication
ACE2-variants-structure-and-assays.ipynb
: Jupyter notebook containing the analysis and figures related to the study.