Data and scripts for ELIC agonism and antagonism study

For performing SCA on our Alignments: Multiple Sequence Alignment and Matlab scripts to run Statistical Coupling Analysis to reproduce our results on sector positions for our manuscript on ELIC. Lists of the UniRef100 accession codes for the proteins in the alignments are also provided. <br> The Matlab scripts (*.m extension) contain must of the comments from tutorials of the original SCA v5.0 toolbox (Ranganathan Lab). The comments were edited in accordance to our particular input data and the outputs we were obtaining at each step. <br> To run these scripts 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> For the TEVC analyses (Source_Data.zip): <br> - The raw TEVC data is reported in the "Raw_TEVC_Traces" folder for each figure. <br> - Using the "Plotting_TEVC_Traces.R" script the TEVC plots shown in the manuscript can be generated (without the concentration annotations). <br> - All data presented in dose response curves or bar graphs were acquired by processing the TEVC traces. The steps are detailed in the file <br> "Processing_TEVC_traces" within each figures folder.<br>