Summary
Problem: Binder-design engines like BindCraft can be computationally heavy and slow, limiting rapid iteration and scalability.
Approach: We re-implements BindCraft core routines in Rust, aiming for an order-of-magnitude performance improvement over existing Python or C++ implementations. (Assuming from context—WIP status.)
Impact: We could dramatically accelerate binder-design workflows by enabling faster simulation and iteration at scale—effectively democratizing automated protein engineering and mise-à -jour lab-to-compute integration.
The customer really doesn’t care about binders, what they care about are
- cures (patient)
- mechanistic proof (biotechs)
- validated targets (pharma)
3 open source softwares we can 1000x
- BindCraft
- CellProfiler