PROST

'PROST' is a sequence-based predictor designed to assess changes in protein stability resulting from missense mutations. This tool is invaluable for protein engineering and investigating the impact of disease-related mutations on protein stability. Using advanced machine learning techniques, 'PROST' offers accurate predictions of how a specific mutation affects the stability of a protein, which is a crucial factor in various biological and biomedical applications.

Topic

Protein folding, stability and design;Genetic variation

Detail

  • Operation: Variant effect prediction

  • Software interface: Web user inter face

  • Language: Python

  • License: The GNU General Public License v3.0

  • Cost: Free

  • Version name: -

  • Credit: -

  • Input: Protein sequence [FASTA]

  • Output: -

  • Contact: Geoff.Webb@monash.edu

  • Collection: -

  • Maturity: -

Publications

  • PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations.
  • Iqbal S, et al. PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations. PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations. 2022; 62:4270-4282. doi: 10.1021/acs.jcim.2c00799
  • https://doi.org/10.1021/ACS.JCIM.2C00799
  • PMID: 35973091
  • PMC: -

Download and documentation

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