alphafold

Retrieve AlphaFold predicted protein structures and pLDDT confidence data by UniProt accession.

18|2|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/omar-A-hassan/medsci-agent --skill alphafold-omar-a-hassan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alphafold
Source: https://github.com/omar-A-hassan/medsci-agent/tree/main/.opencode/skills/alphafold
Command: npx skills add https://github.com/omar-A-hassan/medsci-agent --skill alphafold-omar-a-hassan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides programmatic access to AlphaFold DB predicted protein structures and per-residue confidence (pLDDT) scores, enabling researchers to retrieve models for analysis without manual browsing.

Core Features & Use Cases

  • Retrieve predicted structures for a given UniProt accession and obtain downloadable models in PDB or CIF formats.
  • Access per-residue confidence (pLDDT) and predicted aligned error (PAE) related information for quality assessment.
  • Integrate AlphaFold data into computational workflows, structural biology analyses, and educational demonstrations.

Quick Start

Fetch the predicted structure for a UniProt accession and download its PDB or CIF file for downstream analysis.

Frequently Asked Questions about alphafold

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve AlphaFold predicted protein structures using a UniProt accession?

To retrieve AlphaFold predicted protein structures, provide a UniProt accession to programmatically fetch downloadable model files in PDB or CIF formats for downstream analysis.

Can I access per-residue pLDDT confidence scores for AlphaFold models?

Yes, you can access per-residue pLDDT confidence scores and predicted aligned error (PAE) information to perform quality assessment on AlphaFold predicted protein structures.

What is the best way to download AlphaFold PDB or CIF files for computational workflows?

The best way to download AlphaFold PDB or CIF files is to use API access with a specific UniProt accession, integrating the retrieved models directly into computational workflows.

Does this method provide predicted aligned error data for structural biology research?

Yes, this method provides predicted aligned error (PAE) related information alongside per-residue confidence scores, enabling detailed quality assessment for structural biology research.

When do I need AlphaFold per-residue confidence scores for protein structure analysis?

You need AlphaFold per-residue confidence scores when evaluating model quality for structural biology research, ensuring computational workflows rely on accurate predicted protein structures.