This page is for Boltz-2, version 1.4.0.
For other versions, use one of these documentation indexes:
- 1.10.0 (Latest) (default): https://docs.nvidia.com/nim/bionemo/boltz2/1.10.0/llms.txt
- 1.9.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.9.0/llms.txt
- 1.8.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.8.0/llms.txt
- 1.7.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.7.0/llms.txt
- 1.6.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.6.0/llms.txt
- 1.5.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.5.0/llms.txt
- 1.4.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.4.0/llms.txt
- 1.3.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.3.0/llms.txt
- 1.2.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.2.0/llms.txt
- 1.1.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.1.0/llms.txt
- 1.0.0: https://docs.nvidia.com/nim/bionemo/boltz2/1.0.0/llms.txt
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.
