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Biomolecular structure prediction with OpenFold3 NIM v1.0.0

Use this resource to predict biomolecular structures and complexes with OpenFold3 NIM

New

  • 400 downloads
  • 120 likes
  • 230 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install openfold3-biomolecular-complex-prediction

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent picks the endpoint, handles authentication and builds requests for proteins, nucleic acids, ligands and assemblies. You get the output files and confidence scores, along with the tool's known limits.

Mostly picked by

Updated November 2, 2026

Card for the “Biomolecular structure prediction with OpenFold3 NIM” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
CC-BY-4.0

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What you get

  • references/api.md: endpoints and responses
  • references/parameters.md: molecule fields, MSAs and templates
  • references/validation.md: file checks and scientific consistency checks

Good fit for

  • You model a protein-ligand complex
  • You want to predict a multi-chain protein-RNA assembly

Not for

    Tags

    • openfold3
    • complex
    • biomolecular
    • nim

    About

    You say

    “Predict the structure of the complex between this protein and this ligand with OpenFold3.”

    Card for the “Biomolecular structure prediction with OpenFold3 NIM” skill

    Skill published by nvidia under the CC-BY-4.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to predict biomolecular structures and complexes with OpenFold3 NIM
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md7.6 KB
    • config/skillspector-baseline.yml0.3 KB
    • evals/evals.json6.9 KB
    • evals/trigger_evals.json2.2 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/api.md5.9 KB
    • references/examples.md2.3 KB
    • references/parameters.md2.7 KB
    • references/science.md2.6 KB
    • references/validation.md2.5 KB
    • skill-card.md4.1 KB
    • SKILL.md7.6 KB
    • skill.oms.sig6.1 KB

    Origin and licence

    Listed unmodified

    Author
    nvidia
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/bionemo-openfold3-nim
    Licence
    CC-BY-4.0

    Notice

    « openfold3-nim » (nvidia, CC-BY-4.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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