CaSQ
CaSQ converts CellDesigner molecular interaction maps into executable Boolean models encoded in SBML-Qual to enable dynamic analysis of biological systems.
Key Features:
- Conversion from Static to Dynamic Models: Infers Boolean rules from the topology and semantics of CellDesigner molecular interaction maps to produce executable dynamic models.
- Adherence to SBGN Standards: Processes molecular maps whether or not they adhere to Systems Biology Graphical Notation (SBGN) standards, enabling use with diverse map formats.
- Output in SBML-Qual Format: Generates Boolean models encoded in Systems Biology Markup Language - qualitative (SBML-Qual) for interoperability with modeling tools.
- Retention of Annotations and Layouts: Preserves references, annotations, and layout information from the original CellDesigner maps during conversion.
Scientific Applications:
- In silico simulation and perturbation studies: Enables systems biologists to perform in silico simulations and perturbation analyses on networks derived from molecular interaction maps.
- Gene regulatory network analysis: Supports exploration of gene regulatory network dynamics by providing executable Boolean representations.
- Signaling pathway and emergent behavior analysis: Facilitates analysis of signaling pathways and emergent behaviors in complex biological networks.
Methodology:
Applies defined conversion rules and logical formulas that translate map topology and annotations into Boolean rules, with validation possible by comparing inferred models to manually constructed logical models.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 5/4/2022
Operations
Data Inputs & Outputs
Mapping
Inputs
Outputs
Publications
Aghamiri SS, Singh V, Naldi A, Helikar T, Soliman S, Niarakis A. Automated inference of Boolean models from molecular interaction maps using CaSQ. Bioinformatics. 2020;36(16):4473-4482. doi:10.1093/bioinformatics/btaa484. PMID:32403123. PMCID:PMC7575051.
Links
Repository
https://pypi.org/project/casq/