design-round-modal

You can automate the complete protein binder design lifecycle using Modal GPUs by submitting designs, synchronizing data, running fast and slow evaluations, scoring, and publishing the results through a single streamlined process.

Yes, you can use RFdiffusion3 and BoltzGen to execute multiple design strategies including active site, dimer interface, surface, and inpainting approaches for your protein binder design rounds.

To run a complete protein binder design round end-to-end, you need Modal authentication for GPU access and specific Python scripts to execute the design submission, evaluation, and publishing workflows.

You can evaluate and score generated protein binder designs by running fast and slow evaluation phases on Modal GPUs, which handle the scoring metrics and publish the final results automatically.

Yes, you can use Modal GPU infrastructure to run your protein binder design workflows, providing a reliable alternative when Lyceum is unavailable or unreliable for your evaluation pipelines.