Predict biomolecular structures with Boltz-1 and Boltz-2 on local GPUs.
npx skills add https://github.com/junior1p/ProteinClaw --skill boltz-junior1p
Please help me install this Agent Skill. Skill: boltz Source: https://github.com/junior1p/ProteinClaw/tree/main/skills/boltz Command: npx skills add https://github.com/junior1p/ProteinClaw --skill boltz-junior1p
Boltz Structure Prediction provides local, open-source protein structure prediction to accelerate design validation and reduce reliance on external services.
Install Boltz and run boltz predict on your local FASTA file to generate structure predictions.
High-intent search queries and answers about installing and using this skill.
Run local protein structure prediction by executing the boltz predict command on a FASTA file. This requires a CUDA-enabled GPU (CUDA 12.x) and Python 3.10+ to generate CIF models, confidence.json, and pae.npy outputs.
Yes, you can validate designed protein binders offline using open-source, GPU-accelerated structure prediction. This local workflow serves as an alternative to cloud-based predictors, reducing reliance on external services.
Biomolecular structure prediction with Boltz requires a local environment with CUDA-enabled GPUs (CUDA 12.x) and sufficient VRAM. You also need Python 3.10 or higher installed to execute the predictions.
Predicting protein complex structures generates CIF models, confidence.json, and pae.npy files. These outputs provide the structural coordinates and confidence metrics needed for analysis.
Yes, Boltz offers an open-source alternative to cloud-based protein structure predictors. It runs locally on your hardware, using Boltz-1 and Boltz-2 models for offline biomolecular structure prediction.
Local structure prediction requires significant VRAM because the GPU-accelerated Boltz-1 and Boltz-2 models process complex biomolecular computations. Insufficient VRAM will prevent the local environment from running predictions effectively.
PharMolixPredict protein and protein-ligand complex structures and affinities using Boltz-2.
omar-A-hassanRetrieve AlphaFold predicted protein structures and pLDDT confidence data by UniProt accession.
yf8578Query the AlphaFold EBI API for protein structures and pLDDT scores by UniProt ID.
zongtingweiPredict protein and complex structures with Boltz-1 / Boltz-2 and output CIF files.
