Associated data for: Single point mutations in disordered proteins: linking sequence, ensemble, and function by Eduardo Flores, Nirbhik Acharya,Carlos Castaneda, and Shahar Sukenik. Current Opinion in Structural Biology, 91, 2025, 102987 Publication: https://www.sciencedirect.com/science/article/pii/S0959440X25000053 See also analysis repo at: https://github.com/sukeniklab/ClinVar_Re_predictions Files descriptions: job.sub - HT Condor submission file for the analysis wrapper.sh - Wrapper called for every job initiated by job.sub parseClinvar.py - full analysis for every mutation. See wrapper.sh for details on calling this script. allClinvarMissense.csv - output of analysis. headers are: upID - Uniprot ID geneID - human genome gene ID N_res - number of residues N_disordered - number of disordered residues (metapredict > 0.7) N_ordered - number of ordered residues varID (metapredict < 0.3) change - string for mutation at protein level orig - original 3-letter AA pos - mutation position mut - mutation 3-letter AA wtRe - Re of mutRe wtRe_local mutRe_local changeType res_disorder disease signi data.tar.gz contains data used by parseClinvar.py.: clinvar_20240917.vcf.gz - clinvar export used as input for this analysis all_id_mappings.tsv: mapping of uniprot code to gene number uniprotkb_proteome_UP000005640_2024_08_16.tsv: uniprot human proteome export including sequence