biotite

Read, manipulate, analyze, and fetch biomolecular structures and sequences in Python.

2|Updated May 12, 2026
One-click install
npx skills add https://github.com/LiorZ/protein-design-skills --skill biotite
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: biotite
Source: https://github.com/LiorZ/protein-design-skills/tree/main/skills/biotite
Command: npx skills add https://github.com/LiorZ/protein-design-skills --skill biotite

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Biotite provides a fast, NumPy-backed toolkit to read, manipulate, analyze, and fetch biomolecular structures and sequences, serving as the connective tissue between design predictors, structure analysis tools, and data sources.

Core Features & Use Cases

  • Read/write PDB/mmCIF/BinaryCIF structures and trajectories; convert between AtomArray and AtomArrayStack; fetch data from sources such as RCSB PDB, AlphaFold DB, UniProt, NCBI Entrez, and PubChem.
  • Structural analysis and transformation: RMSD, TM-score, lDDT, SASA, hydrogen bonds, secondary structure, and alignment of designs with predictions.
  • Interoperability: thin wrappers and bridges to external tools (RDKit, OpenMM, PyMOL) to prepare inputs, refine models, and automate pipelines.
  • Use case: design-validation workflows that combine predictor outputs with structural analyses to rank survivors.

Quick Start

Install Biotite and run a quick check: fetch a PDB by its id, load it, and compute a simple RMSD against a rotated copy.

Frequently Asked Questions about biotite

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

FAQPage Schema
How do I read and analyze PDB and mmCIF structures in Python?▼

Biotite reads and analyzes PDB and mmCIF structures in Python using a NumPy-backed AtomArray model, enabling fast structural manipulation, trajectory loading, and format conversion for biomolecular data.

Can I fetch biomolecular sequences and structures directly from RCSB PDB and AlphaFold DB?▼

Yes, you can fetch biomolecular sequences and structures directly from RCSB PDB, AlphaFold DB, UniProt, NCBI Entrez, and PubChem to populate AtomArray objects for downstream analysis and validation workflows.

How do I compute RMSD, lDDT, and TM-score for protein structure predictions?▼

Compute RMSD, lDDT, and TM-score for protein structure predictions by loading models into an AtomArray or AtomArrayStack, then applying built-in structural analysis functions to compare and align designs.

Does this protein-structure toolkit integrate with RDKit and OpenMM for pipeline automation?▼

Yes, this protein-structure toolkit integrates with RDKit and OpenMM through optional bridges, allowing you to prepare inputs, refine models, and automate end-to-end structural analysis pipelines.

What is the best way to validate protein designs against structural predictions?▼

The best way to validate protein designs against structural predictions is to combine predictor outputs with structural analyses like RMSD and hydrogen bonds to rank survivors within a NumPy-based pipeline workflow.

When should I use BinaryCIF over mmCIF for structural data IO?▼

Use BinaryCIF over mmCIF for structural data IO when you need faster read and write speeds for large biomolecular datasets, as both formats are fully supported within the NumPy-based structure model.