Proteinmpnn Nim
Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target...
Install
npx skills add NVIDIA/skills --skill proteinmpnn-nim -g -a claude-code -y- Repository
- NVIDIA/skills3.8k
- Category
- Design
- Updated
- 5d ago
- License
- Apache-2.0 AND CC-BY-4.0
- Context cost
- Mediumabout 1,843 tokens
- Runs scripts
- Yes, review before use
What it does
Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target backbone. Sends user-provided PDB files and design parameters to NVIDIA's hosted API, authenticated with an environment API key, or to a user-selected local NIM. Use for sequence design, backbone redesign, fixed chains and residues, omit_AAs, sampling temperature, soluble model, local Docker, and multi-FASTA output.
ProteinMPNN NIM
<!-- nv-carps: dummy edit to trigger NIM skill validation. -->Design protein sequences for a supplied backbone PDB. Use this guide for first-pass hosted/local usage; load supplemental files only when needed:
references/api.md: exact endpoints, schemas, Docker flags, response fields.references/science.md: inverse-folding uses, limits, and validation.references/parameters.md: design controls, fixed positions, sampling.references/validation.md: FASTA, score, and structure checks.references/examples.md: compact hosted/local request patterns.
Choose Mode
Honor the user's explicit mode; otherwise use the configured runtime. NIM_API_MODE=local selects
the local service at PROTEINMPNN_NIM_URL; the URL defaults to
http://localhost:8000 for a NIM running in the same host or container. Ask only
when neither the environment nor the user's request makes the mode clear:
Hosted NVIDIA API or local Docker NIM?
- Hosted:
https://health.api.nvidia.com/v1/biology/ipd/proteinmpnn/predict - Local: append
/biology/ipd/proteinmpnn/predicttoPROTEINMPNN_NIM_URL(default base URL:http://localhost:8000).
Local inference paths do not include /v1/. Hosted requests use Authorization: Bearer $NGC_API_KEY. Supported local Docker
startup uses NGC_API_KEY (or NVIDIA_API_KEY via the preflight) for
registry login, entitlement checks, and first-run model downloads; pass it
into the container with -e NGC_API_KEY. Local inference requests use no
auth header after readiness. Warm-cache key-free startup varies by
image/version and should not be assumed.
