Metadata-Version: 2.1
Name: signalpathwaysimulator
Version: 0.1.0
Summary: A signal pathway simulator package for SBML-based models.
Home-page: https://github.com/whxie123/SignalPathwaySimulator.git
Author: Wenhui Xie
Author-email: whxie@uw.edu
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

# SignalPathwaySimulator

Project Introduction:
Signal Pathway Simulator is a simulation tool based on MAPK signaling pathways, designed to build and visualize complex reaction networks using model files in SBML format. It fills the gap that current tools (such as PathVisio) cannot directly load SBML files, and provides improved functions to support the simulation and visualization of complex signal networks.

Features:
1. Support SBML format: XML-based standardized format for easy model sharing and storage.
2. Visual reaction network: Display complex signal pathways through optimized layout algorithms.
3. Modular design: Provide simulation core modules and visualization management modules for easy expansion.

Project Structure:
SignalPathwaySimulator/
│
├── docs/                     # Functional specification & component specification
├── examples/             # Example directory, storing examples
├── signalpathwaysimulator/  
│   ├── __init__.py     # Package initialization file
│   ├── simulator.py          #Simulator core module
│   ├── visualization_manager.py  # Visual management module
│
├── .gitignore                # Git ignore file configuration
├── LICENSE               # License File
├── README.md        # Project Description Document
├── main.py                  # Entry script file
└── setup.py                 # Project installation and configuration scripts

Future improvements:
1. Optimize information extraction and parameter algorithms.
2. Improve network layout algorithms and enhance visualization.
3. Develop interactive interfaces to support dynamic adjustment and real-time visualization.



