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Monomer structure prediction with OpenFold2 NIM v1.0.0

Use this resource to predict the 3D structure of a protein chain with OpenFold2 NIM

New

  • 592 downloads
  • 162 likes
  • 163 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install openfold2-monomer-structure-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 hosted or local mode, prepares the sequence and optional alignments, then sends the request. You get the structure file and the validity checks to run before interpreting it.

Mostly picked by

Updated November 2, 2026

Card for the “Monomer structure prediction with OpenFold2 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, schemas and Docker options
  • references/parameters.md: effects of alignments and models
  • references/validation.md: result checks

Good fit for

  • You have a protein sequence whose structure is unknown
  • You want a fast monomer structure from a sequence

Not for

    Tags

    • openfold2
    • protein structure
    • folding
    • nim

    About

    You say

    “Predict the structure of this protein sequence with OpenFold2 in hosted mode.”

    Card for the “Monomer structure prediction with OpenFold2 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 the 3D structure of a protein chain with OpenFold2 NIM
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md7 KB
    • config/skillspector-baseline.yml0.9 KB
    • evals/config.yml0.1 KB
    • evals/evals.json7.4 KB
    • evals/trigger_evals.json2 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/api.md4.6 KB
    • references/examples.md1.9 KB
    • references/parameters.md1.9 KB
    • references/science.md2.9 KB
    • references/validation.md1.5 KB
    • skill-card.md4.4 KB
    • SKILL.md7.2 KB
    • skill.oms.sig6.3 KB

    Origin and licence

    Listed unmodified

    Author
    nvidia
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/bionemo-openfold2-nim
    Licence
    CC-BY-4.0

    Notice

    « openfold2-nim » (nvidia, CC-BY-4.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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