One interface. Any biological model.
Biosimulant is an open source framework for humans and agents to compose and run any biomodel, from Boltz, DiffDock, and SBML pathways to your own custom dynamics.
Why we exist
Our goal is to simulate biology.
Today, getting two biology models to work together means hand-writing custom code, so only specialists can run the simulations that push science forward. We're building the shared, open layer that lets anyone compose, run, and share trustworthy biology simulations as easily as writing code.
All of it, eventually, which is not something any one company does. Today every team that connects two models writes that glue themselves and then throws it away. Do the work once, in the open, and the results start adding up.
Start here
Biosimulant, in five quick answers.
Understand the idea, see what a run produces, and choose how you want to start.
A biology model is a runnable description of part of a living system, from a cell growing to a protein binding. It helps scientists test ideas and compare outcomes in systems that are difficult to study directly.
It is the free, MIT-licensed engine that runs Biosimulant labs. It executes models, passes results between connected models, and preserves the inputs, settings, and provenance behind each run. Use it through Studio, Python, or the CLI on a laptop, in CI, or across a cluster, without an account or lock-in.
Start with a runnable lab for problems such as microbial growth, protein-ligand binding, candidate ranking, or pathway dynamics. Change its biological inputs, run it again, and inspect results such as curves, ranked tables, predicted structures, and confidence measures.
No. Use Hub to discover published labs and Studio to run or adapt them visually. Python and the CLI are available when you want to build new models, combine existing ones, automate runs, or integrate Biosimulant into a larger workflow.