Web Quickstart
This guide walks through the typical user flow for the Biosimulant web app: signing in, browsing models, running a simulation, and viewing results. No local install needed.
Prefer to run simulations locally? See the Library Quickstart (Python), the Desktop App, or the CLI.
Step 1: Sign In
If sign-in is required for the Biosimulant Web workspace you are using:
- Open the platform in your browser
- Click Sign In
- Authenticate with your account
Public browsing may be available without sign-in, but saving labs and starting runs typically requires authentication.
Step 2: Browse Models
- Click Models in the navigation bar
- Use the search bar to find models by name or keyword
- Filter by:
- Standard (SBML, NeuroML, CellML, NMODL, ONNX, other)
- Tags
- Visibility or source, if your account can see those filters
Step 3: View Model Details
Click on any model to see:
- Description: What the model represents
- Parameters: Configurable inputs
- Species: Variables in the model
- Reactions: Biochemical processes
- References: Associated publications
Step 4: Run a Simulation
- From the model detail page, click Open in Lab or open an existing lab
- Configure the run:
- Duration: How long to simulate (e.g., 100 seconds)
- Communication step: The coupling boundary between module exchanges, when exposed
- Parameters: Override default values if needed
- Click Start Run
The simulation runs in the background. You can navigate away and return to check the status (if run history is enabled).
Step 5: View Results
Once the simulation completes:
- Click View Results or navigate to Runs
- See time-series plots of all species
- Download results as CSV or JSON
- Compare multiple runs side by side
What’s Next?
- Browse Models: catalog and metadata basics.
- Compose Models: build a runnable lab from connected models.
- Analyze Results: deep dive into visualization and run comparison.
- Library Quickstart (Python): run the same kind of simulation locally.
- Desktop App: the GUI workbench for the same workflows.
- CLI: drive the same workflows from the terminal.