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.