/covid19-ace2-variants

Research code and data to interpret the effect of ACE2 variants on SARS-CoV-2 infection

Primary LanguageJupyter NotebookMIT LicenseMIT

COVID-19 ACE2 Variants

DOI License: MIT

Author: Stuart MacGowan (smacgowan@dundee.ac.uk)

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.

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.

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

Repository Contents

  • ACE2-variants-structure-and-assays.ipynb: Jupyter notebook containing the analysis and figures related to the study.