Open-source Boltz-2 can speed binding-affinity predictions 1,000-fold

Open-source Boltz-2 can speed binding-affinity predictions 1,000-fold

A team from MIT CSAIL, the Jameel Clinic, and Recursion has released Boltz-2, an open-source biomolecular model that performs physics-level protein-ligand affinity predictions in approximately 18 seconds on a single consumer GPU. This task previously required hours or days on cluster hardware, often costing upwards of $100 per molecule. By releasing the model, weights, and… The post Open-source Boltz-2 can speed binding-affinity predictions 1,00…

Boltz-2 tool can predicts binding affinity in about 20 seconds

Boltz-2, a new open-source model from MIT and Recursion available on GitHub, delivers FEP-class accuracy in about 18 seconds on a single GPU.