structure-prediction-boltz-2

You can predict protein-ligand complex structures and affinities locally by running the Boltz-2 prediction script on your own GPU hardware to generate structural models without relying on cloud tools.

Running Boltz-2 for biomolecular structure prediction requires a local GPU with adequate VRAM, CUDA 12.x, and Python 3.10 or higher installed on your system.

Yes, you can validate designed protein binders entirely on-premises by using local GPU resources to model protein-protein and protein-ligand interactions without uploading data to external servers.

The best way to model protein-ligand interactions on local GPU resources is using Boltz-2, which accelerates structural elucidation of biomolecular complexes and estimates binding affinity directly on your hardware.

Local GPU-accelerated structure prediction with Boltz-2 allows you to validate designed binders and explore biomolecular complexes on-premises, ensuring data privacy and eliminating dependency on cloud-based tools.

To generate PDB files for protein complexes, install Boltz with CUDA support and execute the provided prediction script to locally model your target biomolecular structures.