Published November 11, 2024
| Version v1
Dataset
Open
ClinVar_Re_predictions
Description
Associated data for:
Single point mutations in disordered proteins: linking sequence, ensemble, and function
by Eduardo Flores, Nirbhik Acharya,Carlos Castaneda, and Shahar Sukenik.
https://chemrxiv.org/engage/chemrxiv/article-details/6758cd7af9980725cfa9eec8
repository includes:
- all_id_mappings.tsv: mapping of uniprot code to gene number
- uniprotkb_proteome_UP000005640_2024_08_16.tsv: uniprot human proteome export including sequences
- 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
- clinvar_20240917.vcf.gz - clinvar export used as input for this analysis
- 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.
Files
allClinvarMissense.csv
Files
(787.3 MB)
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235 Bytes | Download |
Additional details
Software
- Repository URL
- https://github.com/sukeniklab/ClinVar_Re_predictions
- Programming language
- Python
- Development Status
- Active