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ProSAP: a GUI software tool for statistical analysis and assessment of thermal stability data.

Hongchao JiXue LuZhenxiang ZhengSiyuan SunChris Soon Heng Tan
Published in: Briefings in bioinformatics (2022)
The Cellular Thermal Shift Assay (CETSA) plays an important role in drug-target identification, and statistical analysis is a crucial step significantly affecting conclusion. We put forward ProSAP (Protein Stability Analysis Pod), an open-source, cross-platform and user-friendly software tool, which provides multiple methods for thermal proteome profiling (TPP) analysis, nonparametric analysis (NPA), proteome integral solubility alteration and isothermal shift assay (iTSA). For testing the performance of ProSAP, we processed several datasets and compare the performance of different algorithms. Overall, TPP analysis is more accurate with fewer false positive targets, but NPA methods are flexible and free from parameters. For iTSA, edgeR and DESeq2 identify more true targets than t-test and Limma, but when it comes to ranking, the four methods show not much difference. ProSAP software is available at https://github.com/hcji/ProSAP and https://zenodo.org/record/5763315.
Keyphrases
  • data analysis
  • deep learning
  • small molecule
  • single cell
  • mass spectrometry
  • amino acid
  • low cost