Application
- Name
- ThermoTargetMiner
- Type
- ShinyProxy App
- URL
- https://thermotargetminer.serve.scilifelab.se
- Source Code
- https://github.com/annlyu96/ThermoTargetMiner
- Image
- ghcr.io/annlyu96/thermotargetminer:20250925-130836
- Created
- 08 Sep, 2025
- Updated
- 14 Nov, 2025
- Tags
- Cancer, lc-ms/ms, lung, pisa, proteomics, target-identification
ThermoTargetMiner is an interactive Shiny application that enables simplified visualization and exploration of drug–target relationships derived from the Proteome Integral Solubility Alteration (PISA) assay. The app integrates processed data from 67 approved drugs and candidate compounds tested in lung cancer cell lines, providing users with tools to: · Visualize proteome-wide solubility shifts in lysate and living lung cancer cells. · Identify and compare targets across different drugs and conditions. · Retrieve a structured list of discovered targets for each compound. By combining intuitive data handling with accessible visualization, ThermoTargetMiner serves as a practical resource for researchers interested in drug target discovery and mechanism-of-action studies in lung cancer.
Project
- Name
- ThermoTargetMiner
- Created
- 10 Jul, 2025
Knowledge of the targets of therapeutic compounds is vital for understanding their action mechanisms and side effects, but such valuable data is seldom available. The multiple complementary techniques needed for comprehensive target characterization must combine data reliability with sufficient analysis throughput. Here, we leveraged the Proteome Integral Solubility Alteration (PISA) assay to comprehensively characterize the targets of 67 approved drugs and candidate compounds against lung cancer. The analysis was performed on two cell lines representing different lung cancer phenotypes. Novel target candidates (pro-targets) for 77% of the tested molecules were found. We verified that a pro-target PAFAH1B3 is indeed inhibited by the drug PEITC. Comparison of the protein solubility shifts in lysate vs. living cells highlighted the targets directly interacting with the compounds. As PISA is now joining the arsenal of fast and reliable target characterization techniques, the presented database, ThermoTargetMiner, will become a useful resource in lung cancer research.
