Boltz Structure Prediction FAQs

Question 1

Can I run Boltz locally?

Accepted Answer

Yes, the skill supports local installation via pip and requires a CUDA-compatible GPU with at least 24GB of VRAM, though 48GB is recommended for larger complexes.

Question 2

Is Boltz faster than other predictors?

Accepted Answer

Yes, Boltz (especially Boltz-2) is optimized for speed and can be significantly faster than AlphaFold2-Multimer, particularly when configured to run without an MSA server.

Question 3

What is the difference between Boltz and AlphaFold2?

Accepted Answer

Boltz is an open-source biomolecular predictor that utilizes diffusion models and offers an MSA-free mode, often resulting in faster predictions than AlphaFold2 while maintaining high accuracy for complexes.

Question 4

Does Boltz support protein-ligand complexes?

Accepted Answer

Yes, both Boltz-1 and Boltz-2 are designed to predict interactions between proteins and small molecule ligands, making them useful for drug discovery workflows.

Question 5

What output format does Boltz use?

Accepted Answer

Boltz provides structure predictions in CIF format along with a JSON file containing confidence metrics like pLDDT, pTM, and ipTM, plus a PAE matrix.

Boltz Structure Prediction

Características Principales

Casos de Uso

Boltz Structure Prediction

Características Principales

Casos de Uso