Whole proteome-level GPS predictions (part 1)
收藏Figshare2020-11-12 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Whole_proteome-level_GPS_predictions_part_1_/13221719
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This is the expanded set of all predictions for GPS, run on the entire reference proteome, including sites not known to be phosphorylated. This dataset is used to perform a fast update when new phosphosites are discovered. The uncompressed folder will yield a large CSV file with predictions in list format (i.e. one line per kinase-substrate prediction)Columns in this order:substrate_id - unique substrate (accession_site) IDsubstrate_acc - Uniprot accession of substrate proteinsubstrate_name - Name of proteinsite - amino acid type and position (S5, means serine position 5)pep - 15-amino acid sequence centered on site of phosphorylationscore - prediction algorithm scoreKinase Name - name of kinase by our controlled ontology (found in this project)Each entry indicates the protein at position (identified by peptide) and has a score weight prediction for the given kinase.FOR FULL GPS RAW, you must combine this with the second zip part (GPS_split.z01). Please be sure to download both into the same directory before unzipping. The final, uncompressed file, is 24GB.
创建时间:
2020-11-12



