Alphafold Database

🌐Community
by jimmc414 · vlatest · Repository

Access and query jimmc414's AlphaFold protein structure prediction database for detailed structural information and analysis.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add jimmc414-alphafold-database npx -- -y @trustedskills/jimmc414-alphafold-database
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "jimmc414-alphafold-database": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/jimmc414-alphafold-database"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill provides access to a database of AlphaFold protein structure predictions. It allows users to query this database, retrieve predicted structures for specific proteins, and potentially analyze structural information. The database contains a vast amount of data on protein folding, enabling research and analysis in fields like biology and drug discovery.

When to use it

  • Protein Structure Research: Investigate the predicted structure of a novel protein sequence.
  • Drug Discovery: Identify potential binding sites or targets based on protein structures.
  • Comparative Analysis: Compare the predicted structures of different proteins to understand evolutionary relationships.
  • Educational Purposes: Explore and learn about protein folding and structural biology concepts.

Key capabilities

  • Access to AlphaFold protein structure predictions database.
  • Protein sequence querying.
  • Retrieval of predicted 3D protein structures.
  • Potential for structural data analysis (specifics not detailed).

Example prompts

  • "Find the predicted structure for human insulin."
  • "What is the AlphaFold prediction for SARS-CoV-2 spike protein?"
  • “Show me the predicted structure of BRCA1.”

Tips & gotchas

The skill’s effectiveness depends on the completeness and accuracy of the underlying AlphaFold database. Results should be interpreted with caution, as they are predictions and may not perfectly reflect actual protein structures.

Tags

🛡️

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Details

Version
vlatest
License
Author
jimmc414
Installs
7

🌐 Community

Passed automated security scans.