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Protein structure prediction with MSA v1.0.0
Use this resource to predict a protein structure from an MSA alignment with OpenFold3
New
- 488 downloads
- 139 likes
- 101 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install msa-protein-structure-pipelineWith 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 loginThe agent searches for homologs with MSA-Search, extracts the A3M alignment and counts sequences, then passes it to OpenFold3 for prediction. The sequence and alignment are sent to NVIDIA-hosted APIs on every call; use local NIM containers for confidential sequences. You get a predicted structure and its alignment.
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Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- CC-BY-4.0
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What you get
- SKILL.md: two-step procedure
- evals/evals.json: evaluation cases
- skill-card.md: skill card
Good fit for
- You want a structure prediction that uses evolutionary context
- Your sequence has few close homologs in the PDB
Not for
Tags
- protein
- MSA
- OpenFold3
- structure
About
You say
“Predict the structure of this protein sequence using an MSA alignment.”
Skill published by nvidia under the CC-BY-4.0 license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to predict a protein structure from an MSA alignment with OpenFold3
- Review and adjust the result
Content preview
Files
- BENCHMARK.md7.8 KB
- evals/evals.json7.9 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md4.1 KB
- SKILL.md6.6 KB
- skill.oms.sig4.5 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/bionemo-msa-structure-prediction-pipeline
- Licence
- CC-BY-4.0
Notice
« msa-structure-prediction-pipeline » (nvidia, CC-BY-4.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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