.zenodo.json

{
  "license": "Apache-2.0",
  "title": "Program and models to calculate PSI from the sequence",
  "version": "0-21-37",
  "upload_type": "software",
  "publication_date": "2023-04-21",
  "language": "eng",
  "description": "<p>Program to  calculate Protein Stability Index from the sequence. ML models were developed based on experimental stability datasets for a 24/23-mer covering the N-/C-terminus of the human proteome using the CatBoost regressor. The performance of the final models was evaluated using the testing set and an R2 coefficient, reaching the values of 0.796/0.812 for the N-terminus with initiator methionine cleaved/not cleaved, respectively, and 0.815 for the C-terminus (the highest possible value of R2 coefficient is 1). See the paper for details and the https://degronopedia.com/degronopedia/tutorial for more information.</p>",
  "notes": "This research was funded in part by the National Science Centre in Poland (grant OPUS number 2020/39/B/NZ2/03127 to F.S., grant PRELUDIUM number 2021/41/N/NZ1/03473 to N.A.S., and grant SONATA-BIS number 2021/42/E/NZ1/00190 to W.P.)",
  "keywords": [
    "bioinformatics",
    "PSI",
    "degrons",
    "machine learning",
    "catboost"
  ],
  "creators": [
    {
      "affiliation": "International Institute of Molecular and Cell Biology in Warsaw",
      "name": "Natalia A. Szulc",
      "orcid": "0000-0002-2991-3634"
    },
    {
      "affiliation": "International Institute of Molecular and Cell Biology in Warsaw",
      "name": "Filip Stefaniak",
      "orcid": "0000-0001-5758-9416"
    }
  ],
  "access_right": "open"
}