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# covid19-ace2-variants
Author: Stuart MacGowan ([s.macgowan@dundee.ac.uk](mailto:s.macgowan@dundee.ac.uk))
# COVID-19 ACE2 Variants
**Author:** Stuart MacGowan ([smacgowan@dundee.ac.uk](mailto:smacgowan@dundee.ac.uk))

Research code and data to interpret the effect of ACE2 variants on SARS-CoV-2 infection
## Overview
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 analysis and figures for the paper *"Missense variants in ACE2 are predicted to encourage and inhibit
interaction with SARS-CoV-2 Spike and contribute to genetic risk in COVID-19"*
[preprint on bioRxiv](https://www.biorxiv.org/content/10.1101/2020.05.03.074781v1) can be found in the
notebook [ACE2-variants-structure-and-assays.ipynb](ACE2-variants-structure-and-assays.ipynb).
## Research Paper
The detailed analysis and figures related to this study are available in the paper titled:
- "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](https://www.biorxiv.org/content/10.1101/2020.05.03.074781v1).

## Published Work
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](https://doi.org/10.1371/journal.pcbi.1009922)

## Repository Contents
- `ACE2-variants-structure-and-assays.ipynb`: Jupyter notebook containing the analysis and figures related to the study.

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