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Alphafold Database

Listed
davila7·vlatest·database·MIT

Retrieve protein structure predictions and related data from AlphaFold databases using specified identifiers or search terms.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill alphafold-database -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Automated safety checks

scanned

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Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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About this skill

The alphafold-database skill provides AI agents with direct access to the AlphaFold protein structure database, enabling rapid retrieval of experimentally determined and predicted 3D protein structures. It allows agents to fetch structural data for specific proteins using UniProt IDs or search by sequence, facilitating immediate analysis without external API calls.

When to use it

  • Quickly retrieve high-confidence 3D structures for known proteins identified by UniProt ID during bioinformatics workflows.
  • Validate predicted protein folds against existing database entries before proceeding with simulation or drug design tasks.
  • Gather structural metadata, including confidence scores and PDB IDs, to inform downstream modeling decisions.

Key capabilities

  • Fetches 3D protein structures directly from the AlphaFold Database.
  • Supports queries using UniProt accession numbers for precise identification.
  • Returns structured data including predicted models and associated metadata.

Example prompts

  • "Retrieve the top-ranked AlphaFold model for the protein with UniProt ID P04637."
  • "Fetch structural predictions for a list of human kinases from the AlphaFold database."
  • "Get the confidence score and PDB ID for the structure of the enzyme EC 1.1.1.1."

Tips & gotchas

Ensure you have valid UniProt IDs for accurate results, as searching by generic names may yield ambiguous matches. This skill relies on pre-computed predictions; it does not generate new structures or perform custom molecular dynamics simulations.