MSA and SCA script for commsbio_2022

Multiple Sequence Alignment and Matlab script to run Statistical Coupling Analysis to reproduce our results on sector positions for our manuscript "Origins of acetylcholine antagonism in a bacterial pentameric ligand-gated ion channel" on 2022. A list of the UniRef100 accession codes for the proteins in the alignment is also provided.<br>The script contains must of the comments from tutorials of the original SCA v5.0 toolbox (Ranganathan Lab). I edited the comments in accordance to our particular input data and the outputs I was obtaining at each step.<br>To run this script it is necessary:-MATLAB with the Bioinformatics Toolbox, as well as the Statistics and Machine Learning Toolbox.<br>-SCA v5.0 toolbox from Ranganathan Lab. For more details please refer to their 2012 paper (https://doi.org/10.1038/nature11500)-The results on the sector positions will be printed in the Command Window of MATLAB<br><br>