alphafold2

Community

Predict protein structures with AlphaFold2

Authorguanxiaol
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of predicting protein structures, which is crucial for various biological and medical applications.

Core Features & Use Cases

  • Protein Structure Prediction: Accurately predict the three-dimensional structure of proteins using the AlphaFold2 model.
  • Sequence Validation: Validate designed sequences using self-consistency pLDDT, ipTM, and RMSD metrics.
  • Quick Prediction: Run a quick multiple sequence alignment (MSA)-backed prediction using the public MMseqs2 server.
  • Use Case: For researchers in the field of molecular biology, this Skill can be used to predict the structure of a protein sequence and validate the design of a protein for further experiments.

Quick Start

Run the AlphaFold2 prediction for the sequence in 'input.fasta' and output the results to 'out'.

Dependency Matrix

Required Modules

gpu

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: alphafold2
Download link: https://github.com/guanxiaol/open-science/archive/main.zip#alphafold2

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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