Rfd4 Proteina Nim
Run RFD4-Proteina NIM for joint protein structure and sequence design, conditioned...
Install
npx skills add NVIDIA/skills --skill rfd4-proteina-nim -g -a claude-code -y- Repository
- NVIDIA/skills3.8k
- Category
- Design
- Updated
- 5d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 2,482 tokens
- Runs scripts
- Yes, review before use
What it does
Run RFD4-Proteina NIM for joint protein structure and sequence design, conditioned generation, and reward-guided search using the NVIDIA hosted API or a self-hosted NIM. Not for the older RFdiffusion contigs API.
RFD4-Proteina NIM
Generate protein structures and sequences through the released RFD4-Proteina NIM. This skill covers conditioned protein and small-molecule binders, motif and enzyme scaffolding, antibody/CDR design, partial diffusion, inverse folding, and reward-guided beam search. Use science for interpretation.
Prerequisites
Use Python 3.10 or newer; the client uses only the standard library.
Hosted inference requires a key obtained from the product page, set as
NVIDIA_API_KEY (NGC_API_KEY is accepted as a fallback). Supply the key
through the user's secret mechanism, not a prompt or command-line argument.
Offline preparation and saved-response extraction need no credentials.
For an existing local NIM, use its base URL. Starting a new container also requires Docker, NVIDIA Container Toolkit, a supported GPU/driver, and NGC access; read deployment only when deployment is needed.
