Individual skill
rfd4-proteina-nim
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.
skills/bionemo-rfd4-proteina-nim/SKILL.md
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- Last checked
- Nov 2, 2026
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
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- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
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- rfd4 Declared skill tag
- protein-design Declared skill tag
- nvidia-nim Declared skill tag
- design Derived category
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# RFD4-Proteina NIM
Generate protein structures and sequences through the released
[RFD4-Proteina NIM](https://build.nvidia.com/ipd/rfd4-proteina). 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](references/science.md) 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.