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Published November 11, 2024 | Version v1

ClinVar_Re_predictions

  • 1. ROR icon Syracuse University

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)

Name Size
md5:13c59bc3fb2cf8df2c9cfde9d47685d2
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md5:70c84ad3712156bbeaee4114fb100d7f
653.4 MB Preview Download
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95.9 MB Download
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464 Bytes Download
md5:9924113e68985fceb9916506dd18c639
7.6 kB Download
md5:55bcc83df5afe4f41e3cfbac8c569ea8
37.8 MB Download
md5:198d3b9aa9a2d78528b5df0a1573af47
235 Bytes Download

Additional details

Software

Repository URL
https://github.com/sukeniklab/ClinVar_Re_predictions
Programming language
Python
Development Status
Active