PHONEMeS
PHONEMeS models signaling networks from untargeted phosphoproteomics mass spectrometry data by integrating kinase/phosphatase–substrate interactions to infer the flow of signal perturbations.
Key Features:
- Input data: Uses high-content shotgun untargeted phosphoproteomic mass spectrometry data as primary input.
- Interaction integration: Integrates kinase and phosphatase substrate–interaction information to connect phosphosites to upstream regulators.
- Network modeling: Constructs logical network models that represent propagation of signaling perturbations.
- Optimization formulation: Reformulated as an Integer Linear Program (ILP) to perform network inference.
- Pathway scope: Can model deregulated pathways both upstream and downstream of specified deregulated kinases, not limited to direct perturbation targets.
- Temporal analysis: Supports analysis of datasets with multiple time points to capture temporal propagation of signals.
- Biomedical applicability: Has been applied to diverse datasets of medical relevance to investigate phosphosignaling mechanisms and drug modes of action.
Scientific Applications:
- Signaling network reconstruction: Infer signaling network topology and directionality from phosphoproteomic perturbation data.
- Kinase/phosphatase activity inference: Link observed phosphosite changes to candidate upstream kinases and phosphatases.
- Pathway deregulation analysis: Explore upstream and downstream effects of deregulated kinases within signaling pathways.
- Temporal signaling studies: Analyze time-course phosphoproteomic data to map temporal propagation of signaling events.
- Drug mode-of-action investigation: Elucidate mechanisms of action of perturbations or therapeutics through inferred phosphosignaling networks.
Methodology:
PHONEMeS integrates kinase/phosphatase–substrate interaction data with shotgun untargeted phosphoproteomic measurements to construct logical network models and solves the resulting inference problem using an Integer Linear Program (ILP); it can incorporate multiple time points and model upstream/downstream deregulated kinase effects.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 5/28/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Gjerga E, Dugourd A, Tobalina L, Sousa A, Saez-Rodriguez J. PHONEMeS: Efficient Modeling of Signaling Networks Derived from Large-Scale Mass Spectrometry Data. Journal of Proteome Research. 2021;20(4):2138-2144. doi:10.1021/acs.jproteome.0c00958. PMID:33682416.