Individual skill
diffdock-nim
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.
skills/bionemo-diffdock-nim/SKILL.md
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BENCHMARK.mddoc · 7,088 bytesSKILL.mdcore · 4,280 bytesSKILL.mdcore · 4,280 bytesSKILL.mdcore · 4,280 bytesSKILL.mdcore · 4,280 bytesconfig/skillspector-baseline.ymlasset · 876 bytesevals/config.ymlasset · 117 bytesevals/evals.jsonasset · 6,654 bytesevals/files/protein.pdbasset · 252,720 bytesevals/trigger_evals.jsonasset · 2,255 bytesreferences/api.mddoc · 4,644 bytesreferences/examples.mddoc · 2,091 bytesreferences/parameters.mddoc · 998 bytesreferences/science.mddoc · 1,974 bytesreferences/validation.mddoc · 1,793 bytesskill-card.mddoc · 4,385 bytesskill.oms.sigasset · 6,689 bytes
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# 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.
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