diffdock-nim
Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets.
Skill by NVIDIA
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nvidia-diffdock-nim
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About
Use cases: backend, devops
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/diffdock-nim
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash,Read,Write,AskUserQuestion
What's inside
- Skill name
diffdock-nim- Description
- Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. Use for DiffDock, molecular docking, ligand docking, blind docking, SMILES or SDF ligands, ranked poses, confidence scores, hosted NVIDIA API, or local Docker deployment.
- License
- Apache-2.0 AND CC-BY-4.0
- Compatibility
- requests>=2.28
- Allowed tools
- Bash,, Read,, Write,, AskUserQuestion
- Instructions
- 111 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
- Instructions call the network
Agent Skills spec issues
- name: "diffdock-nim" does not match folder "bionemo-diffdock-nim"
Files (14)
- BENCHMARK.md
- SKILL.md
- skillspector-baseline.yml · config/
- config.yml · evals/
- evals.json · evals/
- protein.pdb · evals/files/
- trigger_evals.json · evals/
- api.md · references/
- examples.md · references/
- parameters.md · references/
- science.md · references/
- validation.md · references/
- skill-card.md
- skill.oms.sig
SKILL.md (first lines)
# DiffDock NIM
Predict protein-ligand binding poses with blind docking. Use this guide for
first-pass hosted/local usage; load supplemental files only when needed:
- `references/api.md`: exact hosted/local endpoints, schemas, Docker flags.
- `references/science.md`: docking use cases, limits, and handoffs.
- `references/parameters.md`: ligand formats, pose counts, diffusion controls.
- `references/validation.md`: receptor, ligand, pose, and confidence checks.
- `references/examples.md`: compact hosted/local and pose-saving patterns.
## Choose Mode
Ask only when context is unclear:
> Hosted NVIDIA API or local Docker NIM?
- Hosted: `https://health.api.nvidia.com/v1/biology/mit/diffdock`
- Local: `http://localhost:8000/molecular-docking/diffdock/generate`
The hosted and local paths differ. Local has no `/v1/` prefix and uses the
`/molecular-docking/` route. 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.
## Local Docker
For the exact local preflight (`.env` load, `NVIDIA_API_KEY` fallback,
`LOCAL_NIM_CACHE`, `NVIDIA_VISIBLE_DEVICES=0`, `--shm-size=2G`, both `--ulimit`
flags, `docker login`, and the `docker run` for `nvcr.io/nim/mit/diffdock:2.2.0`),
copy the command block in [`references/api.md`](references/api.md) under
**Docker Reference** verbatim.
Readiness:
```bash
until curl -sf http://localhost:8000/v1/health/ready; do sleep 5; done
```
## Prepare Inputs
Protein receptor must be ATOM records only. Strip headers, water, and HETATM.
```python
from pathlib import Path
raw_pdb = Path("protein.pdb").read_text()
protein = "\n".join(line for line in raw_pdb.splitlines() if line.startswith("ATOM"))
if not protein:
raise ValueError("protein.pdb has no ATOM records")
```
Ligand options:
- SMILES: `ligand = "CC(=O)OC1=CC=CC=C1C(=O)O"`; `ligand_file_type = "txt"`.
- SDF: `ligand = Path("ligand.sdf").read_text()`; `ligand_file_type = "sdf"`.
- MOL2: `ligand_file_type = "mol2"`.
Do not use `"smiles"` as `ligand_file_type`; SMILES is `"txt"`.
## Request Pattern
```python
import os
import requests
HOSTED = True
url = (
"https://health.api.nvidia.com/v1/biology/mit/diffdock"
if HOSTED else "http://localhost:8000/molecular-docking/diffdock/generate"
)
headers = {"Content-Type": "application/json"}
if HOSTED:
headers["Authorization"] = f"Bearer {os.getenv('NGC_API_KEY')}"
payload = {
"protein": protein,
"ligand": ligand,
"ligand_file_type": ligand_file_type,
"num_poses": 10,
"time_divisions": 20,
"steps": 18,
"save_trajectory": False,
}
response = requests.post(url, headers=headers, json=payload, timeout=300)
response.raise_for_status()
result = response.json()
```
## Save And Report Output
`ligand_positions` and `position_confidence` are parallel ranked lists.
`position_confidence[0]` is the rank-1 pose confidence.
Save the ranked pose SDFs using the snippet in
[`references/examples.md`](references/examples.md) under **Save Ranked Poses**.
View pose SDF files with the receptor in PyMOL, ChimeraX, or UCSF Chimera. For
pose sanity checks and confidence caveats, read `references/validation.md`.
## Limits And Troubleshooting
- Max `num_poses`: 100. Max `time_divisions`: 20. Max `steps`: 18.
- Single GPU; local minimum is about 24 GB VRAM.
- `422`: invalid `ligand_file_type`, invalid SMILES/SDF, or no ATOM records.
- Empty poses: validate receptor ATOM records and ligand parseability.
- Local URL 404 usually means the wrong hosted path or an accidental `/v1/`.From NVIDIA/skills, Apache-2.0 AND CC-BY-4.0.
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Signals
- Stars
- 3,718
- Forks
- 457
- Open issues
- 8
- Last commit (this folder)
- Sep 29, 2026 (29 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0 AND CC-BY-4.0
- Repository
- github.com/NVIDIA/skills
- Website
- docs.nvidia.com/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
diffdock-nim skill. Agent Mart. https://agentmart.dev/skills/nvidia-diffdock-nim (last updated 2026-10-24)