CITATION.cff

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title: >-
  Program to predict Protein Stability Index (PSI) from the sequence.
message: Program to predict Protein Stability Index (PSI) from the sequence.
type: software
authors:
  - given-names: "Natalia A. Szulc "
    email: nszulc@iimcb.gov.pl
    affiliation: >-
      International Institute of Molecular and Cell
      Biology in Warsaw, Warsaw, Poland
    orcid: "https://orcid.org/0000-0002-2991-3634"
  - orcid: "https://orcid.org/0000-0001-5758-9416"
    given-names: Filip Stefaniak
    affiliation: >-
      International Institute of Molecular and Cell
      Biology in Warsaw, Warsaw, Poland
    email: fstefaniak@iimcb.gov.pl
identifiers:
  - type: doi
    value: 10.5281/zenodo.7498782
    description: Zenodo repository
  - type: url
    value: >-
      https://github.com/filipsPL/degronopedia-ml-psi
    description: GitHub repository
repository-code: "https://github.com/filipsPL/degronopedia-ml-psi"
url: "https://github.com/filipsPL/degronopedia-ml-psi"
abstract: >-
  Program to predict Protein Stability Index (PSI) 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.
keywords:
  - bioinformatics
  - PSI
  - degrons
  - machine learning
  - catboost
license: Apache-2.0