bio-structure-annotation

Predict protein structures and annotate hits with Foldseek.

7|1|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/fmschulz/omics-skills --skill bio-structure-annotation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bio-structure-annotation
Source: https://github.com/fmschulz/omics-skills/tree/main/skills/bio-structure-annotation
Command: npx skills add https://github.com/fmschulz/omics-skills --skill bio-structure-annotation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structure prediction and structure-based annotation to accelerate omics workflows.

Core Features & Use Cases

  • Predicts protein structures using ColabFold or Boltz for multi-chain systems.
  • Searches predicted structures with Foldseek to annotate hits and identify similar folds.
  • Applies to proteomics, structural biology, and function annotation tasks across single proteins and complexes.

Quick Start

Input a protein FASTA file and run the integrated structure-prediction-and-annotation workflow to obtain predicted models and annotation results.

Frequently Asked Questions about bio-structure-annotation

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

FAQPage Schema
What is the best way to integrate structure prediction and annotation into proteomics workflows?

Protein structure prediction and structure-based annotation accelerate omics workflows by using predicted 3D models to identify similar folds and assign functions, replacing traditional sequence-based similarity searches.

Can I use ColabFold and Boltz for multi-chain protein complex structure prediction?

ColabFold and Boltz support multi-chain protein complex structure prediction, allowing you to model interactions within proteomics and structural biology workflows before searching structures with Foldseek.

How does Foldseek annotate structural hits for predicted protein models?

Foldseek annotates structural hits by searching predicted protein structures against structural databases to identify similar folds, enabling function annotation tasks across single proteins and complexes.

Does this structure prediction and annotation workflow support tm-vec embedding?

The structure prediction and annotation workflow supports tm-vec embedding, applying it alongside Boltz or ColabFold prediction and Foldseek searching to satisfy requirements for structure-based annotation.

What is the best way to integrate structure prediction and annotation into proteomics workflows?

The best way to integrate structure prediction and annotation into proteomics workflows is using an integrated pipeline that applies tm-vec embedding, Boltz or ColabFold prediction, and Foldseek searching to accelerate analysis.