Release Notes#
Release 1.1.0#
Summary#
Boltz-2 enables accurate biomolecular structure prediction from input sequences including proteins, DNA, RNA, and ligands. It also supports constrained guidance for complex structural prediction using bond and pocket specifications.
This release adds binding affinity prediction for ligands and complexes. The underlying Boltz-2 model has been updated to version 2.2.0. More of the Boltz-2 scores are included in the output. There are minor bug fixes to improve the overall user experience.
Notes and Limitations#
Ensure you use this NIM with GPUs with at least 48 GB of VRAM.
Note: While there are many options for tuning this NIM’s performance, for most users the defaults will provide a balanced performance experience.