ProSAP

ProSAP analyzes thermal shift assays to quantify proteome-wide protein stability changes and support drug–target identification using thermal proteome profiling (TPP), nonparametric analysis (NPARC), and isothermal shift assay (iTSA) methods.


Key Features:

  • Integrated workflow: Five modules—data preprocessing, data visualization, TPP analysis, NPARC, and iTSA analysis—support processing from quantitative input tables to interpreted stability results.
  • Input compatibility: Accepts proteomics quantitative tables generated by Proteome Discoverer and MaxQuant.
  • Thermal proteome profiling (TPP) analysis: Implements TPP analysis to reduce false-positive target identification in thermal shift assays.
  • Nonparametric analysis (NPARC): Includes NPARC as a flexible, parameter-free approach for detecting stability shifts.
  • Isothermal shift assay (iTSA) analysis: Supports iTSA analysis using edgeR and DESeq2 and includes reported comparisons to t-test and Limma for target identification and ranking.

Scientific Applications:

  • Drug–target identification: Identifies candidate drug targets by detecting proteome-wide stability changes upon treatment.
  • Proteome-wide stability profiling: Quantifies and compares protein stability changes across conditions using thermal shift assays and TPP.
  • Protein–ligand and protein–protein interaction studies: Assists in studying protein–ligand and protein–protein interactions at proteome scale through stability shifts.

Methodology:

Computational methods explicitly include data preprocessing, data visualization, thermal proteome profiling (TPP) analysis, nonparametric analysis (NPARC), and isothermal shift assay (iTSA) analysis using edgeR and DESeq2, with comparisons to t-test and Limma.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
7/5/2022
Last Updated:
11/24/2024

Operations

Publications

Ji H, Lu X, Zheng Z, Sun S, Tan CSH. ProSAP: a GUI software tool for statistical analysis and assessment of thermal stability data. Briefings in Bioinformatics. 2022;23(3). doi:10.1093/bib/bbac057. PMID:35246677.

PMID: 35246677
Funding: - Shenzhen Innovation of Science and Technology Commission: JCY20200109140814408 - National Natural Science Foundation of China: 22074060, 22103036 - China Postdoctoral Science Foundation: 2021M691413

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