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Local protein structure prediction v1.0.0

Use this resource to predict and compare protein structures locally

New

  • 523 downloads
  • 139 likes
  • 140 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install protein-structure-prediction-2

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 runs AlphaFold (ColabFold), Boltz-1 or Chai on your machine, retrieves experimental structures from the PDB and computes RMSD and TM-score. You get a report with 3D renders, pLDDT and PAE confidence plots and comparison tables.

Mostly picked by

Updated November 2, 2026

Card for the “Local protein structure prediction” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : agent role, dependencies and example queries
  • SKILL.md : pLDDT and PAE confidence maps, structure comparison

Good fit for

  • You compare a predicted structure against a reference structure
  • You want to assess the confidence of a folding model

Not for

    Tags

    • proteins
    • AlphaFold
    • biology

    About

    You say

    “Predict the structure of this sequence and compare it with the experimental PDB structure.”

    Card for the “Local protein structure prediction” skill

    Skill published by aaaaqwq under the MIT 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 and compare protein structures locally
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.6 KB

    Origin and licence

    Listed unmodified

    Author
    aaaaqwq
    Source
    github.com/aaaaqwq/agi-super-team/tree/4c7b20bc52ad8d4a89fa3f5185abc455ef9248de/skills/struct-predictor
    Licence
    MIT

    Notice

    « struct-predictor » (aaaaqwq, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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