From 8cce0ff4b96dffab6289d2a45237d8bffe266cdc Mon Sep 17 00:00:00 2001 From: Stuart MacGowan Date: Wed, 17 Jan 2024 15:01:47 +0000 Subject: [PATCH] Update README.md --- README.md | 23 ++++++++++++++++------- 1 file changed, 16 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index d5c733c..1c2c3a3 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,18 @@ -# 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.