High resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery

This record contains supplementary data files related to High resolution deep mutational scanning of the melanocortin-4 receptor enables target characterization for drug discovery, described below. For more information regarding statistical modeling and subsequent biological interpretation, please see the mc4r-dms Github repository. - MC4R-DMS-barcode-maps.tar.gz contains two large TSV files, each containing an oligonucleotide-barcode map for either the CRE or UAS system. Each map contains two columns: (i) the barcode sequence and (ii) the oligonucleotide (variant) identifier. - MC4R-DMS5-Gs-barcode-counts.tar.gz, MC4R-DMS8-Gq-barcode-counts.tar.gz, and MC4R-DMS11-Gs-barcode-counts.tar.gz each contain a set of TSV files representing the raw barcode counts for each sample, with one TSV file per sample. Each individual sample TSV file has two columns: (i) the read count and (ii) the barcode sequence - sample-properties.tar.gz contains three small TSV files each with three columns: (i) a sample ID matching the individual sample files in the barcode-counts directories, (ii) a condition or treatment label, and (iii) a condition or treatment dosage if applicable - MC4R-mapped-counts.tar.gz contains three TSV files, one per dataset (DMS5, DMS8, and DMS11), containing all barcodes joined to the relevant barcode map across all samples. Each file contains the following columns: sample the sample identifier corresponding to the file names in each barcode-counts directory barcode barcode sequence count read count lib library ID (always OCNT-DMSLIB-0) chunk chunk identifier wt_aa reference amino acid pos amino acid position mut_aa mutated amino acid wt_codon reference codon sequence mut_codon mutated codon sequence condition name of treatment condition condition_conc dosage of treatment compound, if relevnat stop_counts the natural log of the sum of stop-associated barcodes for the containing chunk