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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Charge clusters signatures in prokaryotic proteomes: Temperature-dependence and distribution
Najla Kharrat1, Rahil Boumellasa1, Sabrine Belmabrouk1
1Centre of Biotechnology of Sfax, Laboratory of Molecular and Cellular Screening Processes, Bioinformatics Group, Po. Box: 1177, Sfax 3018, Tunisia.
This study introduces a new tool, FCCP, to identify Charged Clusters (CCs) in proteins. It reveals CCs are linked to protein function, transmembrane proteins, and bacterial growth temperature.
Area of Science:
- Proteomics
- Bioinformatics
- Structural Biology
Background:
- Charged Clusters (CCs) are crucial for understanding protein structure-function relationships.
- Identifying CCs aids in quantitative structure-function correlation analysis.
Purpose of the Study:
- To perform a proteome-wide scan for CCs in 99,292 proteins.
- To develop and utilize a new tool, Finding Clusters Charge in Protein Sequences Program (FCCP), for CC identification.
- To create a repository of identified CCs.
Main Methods:
- A proteome-wide scan was conducted using the FCCP tool.
- The analysis covered 35 prokaryotic proteomes, including psychrophiles, mesophiles, thermophiles, and hyperthermophiles.
- A new repository of 855 CCs was established.
Main Results:
- Proteins with CCs are predominantly transmembrane proteins.
- Conserved CCs within proteomes are associated with DNA binding, integration, and transposase functions.
- Negative charged clusters correlate significantly with bacterial growth temperature, serving as a core protein signature.
Conclusions:
- The study successfully identified and cataloged CCs across diverse prokaryotic proteomes.
- CCs play significant roles in protein function, particularly in transmembrane proteins and DNA-related processes.
- The association of negative charged clusters with growth temperature provides insights into protein adaptation and function.
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