PathFXweb
PathFXweb analyzes protein-protein interaction networks and performs phenotype enrichment using the PathFX algorithm to identify drug-associated safety and efficacy signals.
Key Features:
- Protein-Protein Interaction Network Analysis: Constructs and analyzes protein-protein interaction networks surrounding drug target(s) to map network-level drug effects.
- Phenotype Enrichment Analysis: Identifies phenotypes that are statistically enriched within the target-centered network compared to the background network.
- Integration of Heterogeneous Datasets: Aggregates and integrates multiple datasets to inform construction of interaction networks and phenotype associations.
- Visualization and Phenotype Clustering: Provides visualization and phenotype clustering to support interpretation of network and enrichment results.
Scientific Applications:
- Safety Liability Identification: Detects potential adverse phenotype associations linked to drug targets to inform safety assessment.
- Efficacy and Mechanism-of-Action Inference: Reveals phenotype and pathway associations that support hypotheses about drug efficacy and mechanism of action.
- Early-Stage Drug Development Analysis: Supports evaluation of target-associated pathway effects and phenotype signals during early development.
Methodology:
Integrates multiple datasets to construct protein-protein interaction networks around drug targets, analyzes these networks to identify statistically enriched phenotypic associations using the PathFX algorithm, and applies visualization and phenotype clustering for interpretation.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl, Python
- Added:
- 8/9/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Wilson JL, Wong M, Chalke A, Stepanov N, Petkovic D, Altman RB. PathFXweb: a web application for identifying drug safety and efficacy phenotypes. Bioinformatics. 2019;35(21):4504-4506. doi:10.1093/bioinformatics/btz419. PMID:31114840. PMCID:PMC6821302.