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Updated: May 30, 2026
Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
Published on: January 26, 2024
GPS-PUP: computational prediction of pupylation sites in prokaryotic proteins
1University of Science & Technology of China, Hefei, Anhui, China.
Abstract:
Recent experiments revealed the prokaryotic ubiquitin-like protein (PUP) to be a signal for the selective degradation of proteins in Mycobacterium tuberculosis (Mtb). By covalently conjugating the PUP, pupylation functions as a critical post-translational modification (PTM) conserved in actinomycetes. Here, we designed a novel computational tool of GPS-PUP for the prediction of pupylation sites, which was shown to have a promising performance. From small-scale and large-scale studies we collected 238 potentially pupylated substrates for which the exact pupylation sites were still not determined. As an example application, we predicted ∼85% of these proteins with at least one potential pupylation site. Furthermore, through functional analysis, we observed that pupylation can target various substrates so as to regulate a broad array of biological processes, such as the response to stress, sulfate and proton transport, and metabolism. The prediction and analysis results prove to be useful for further experimental investigation. The GPS-PUP 1.0 is freely available at: .
Insights
Researchers developed GPS-PUP, a computational tool to predict pupylation sites, a key protein modification in Mycobacterium tuberculosis. This tool aids in understanding protein degradation and biological processes regulated by pupylation.
Area of Science:
- Molecular Biology
- Bioinformatics
- Post-Translational Modifications
Background:
- Prokaryotic ubiquitin-like protein (PUP) acts as a signal for selective protein degradation in Mycobacterium tuberculosis (Mtb).
- Pupylation, the covalent conjugation of PUP, is a critical post-translational modification conserved in actinomycetes.
Purpose of the Study:
- To design and validate a novel computational tool, GPS-PUP, for predicting pupylation sites.
- To identify potential pupylated substrates and analyze the biological processes regulated by pupylation.
Main Methods:
- Development of the GPS-PUP computational tool for pupylation site prediction.
- Collection and analysis of 238 potentially pupylated substrates.
- Functional analysis of predicted pupylated proteins.
Main Results:
- The GPS-PUP tool demonstrated promising performance in predicting pupylation sites.
- Approximately 85% of the tested proteins were predicted to have at least one pupylation site.
- Pupylation was found to regulate diverse biological processes, including stress response, transport, and metabolism.
Conclusions:
- GPS-PUP is a valuable tool for identifying pupylation sites and substrates in Mtb.
- Pupylation plays a significant role in regulating various cellular functions.
- The findings provide a basis for further experimental investigations into pupylation.
