kitsunefetch 2.1.0

🦊 KitsuneFetch : Multi-Database Protein Query Tool using GraphQL API

🦊 KitsuneFetch : Multi-Database Protein Query Tool

🦊 KitsuneFetch 🦊 Fetch me if you can!

A powerful command-line tool to query multiple protein structure databases with advanced filtering options

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✨ Features

• 🔍 Smart Search — Query by protein name, gene symbol, common aliases, or FASTA sequence
• 🌐 Multi-Database — Search PDB, AlphaFold Database, and ModelArchive
• 🎯 Advanced Filtering — Filter by species, date, technique, oligomeric state, mutations, ligands, pLDDT, and more
• 📊 Automated Statistics — Generates summary statistics and publication-ready pie charts
• 📥 Bulk Download — Download all matching structure files (PDB/mmCIF)
• ⚡ Efficient — Uses RCSB Search API and GraphQL for fast, batched data retrieval
• 🛠️ Configurable — Customize ligand exclusions and protein name mappings

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📦 Installation

Requirements

• Python 3.7+
• requests
• matplotlib
• numpy

Quick Installation

python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install kitsunefetch

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🚀 Quick Start

# Basic search (all databases)
kitsunefetch HSP90

# Search specific database
kitsunefetch HSP90 human --database=pdb
kitsunefetch HSP90 human --database=alphafold
kitsunefetch HSP90 human --database=all

# FASTA sequence search
kitsunefetch my_sequence.fasta --database=all

# Advanced filtering with pLDDT
kitsunefetch HSP90 human --database=all --min-plddt=70

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📖 Usage

kitsunefetch <protein_name|fasta_file> [species] [date_range] [options]

Arguments

Argument	Required	Description
protein_name	✅	Protein name, nickname, or gene symbol
fasta_file	✅	Path to FASTA file (.fasta, .fa, .faa, .txt)
species	❌	Filter by organism (use None to skip)
date_range	❌	Filter by release date (use None to skip)

Date Range Formats

Format	Example	Description
YYYY-YYYY	2000-2010	From year to year
YYYY-	2015-	From year onwards
-YYYY	-2010	Up to year
YYYY	2020	Specific year only

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🗄️ Database Options

Option	Description
--database=pdb	Search PDB only (experimental structures)
--database=alphafold	Search AlphaFold DB only (AI-predicted)
--database=modelarchive	Search ModelArchive only (computational models)
--database=all	Search all databases (default)

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🧬 FASTA Sequence Search

Search for structures by sequence similarity using a FASTA file:

# Basic sequence search
kitsunefetch my_protein.fasta

# With identity threshold
kitsunefetch my_protein.fasta --identity=0.95

# With E-value threshold
kitsunefetch my_protein.fasta --evalue=0.01

# Combined with other filters
kitsunefetch my_protein.fasta human --database=pdb --identity=0.9

FASTA Search Options

Option	Default	Description
--identity=N	0.9	Minimum sequence identity (0.0-1.0)
--evalue=N	0.1	Maximum E-value threshold

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⚙️ Filter Options

Complex Filters

Option	Description
--no-complex	Exclude structures in complex with other proteins
--only-complex	Keep only protein complexes
--complex-with=X	Keep only complexes with specific partner

Structure Filters

Option	Description
--no-mutation	Wild-type structures only (PDB)
--no-ligand	Apo structures only (PDB)
--ligand=X	Keep only structures with specific ligand
--no-integrative	Exclude integrative/hybrid structures
--max-missing=N	Exclude structures with >N missing residues

AI-Predicted Structure Filters

Option	Description
--min-plddt=N	Minimum pLDDT confidence score (0-100)

Oligomeric State

Option	Description
--oligomer=1	Monomers only
--oligomer=2	Dimers only
--oligomer=N	N-mers only

Experimental Technique

Option	Description
--technique=xray	X-ray diffraction
--technique=nmr	NMR spectroscopy
--technique=em	Electron microscopy (cryo-EM)
--technique=predicted	AI predictions (AlphaFold/ModelArchive)
--technique=alphafold	AlphaFold predictions only
--technique=modelarchive	ModelArchive models only
--technique=other	Other techniques

Download & Performance

Option	Description
--download	Download structure files (PDB/mmCIF)
--batch-size=N	Structures per batch (default: 5)

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💡 Examples

Multi-Database Queries

# Search all databases for human HSP90
kitsunefetch HSP90 human --database=all

# AlphaFold predictions only
kitsunefetch HSP90 human --database=alphafold

# PDB experimental structures only
kitsunefetch HSP90 human --database=pdb

# High-confidence AlphaFold structures
kitsunefetch HSP90 human --database=alphafold --min-plddt=90

FASTA Sequence Search

# Find similar structures across all databases
kitsunefetch query.fasta --database=all

# High identity matches only
kitsunefetch query.fasta --identity=0.95 --evalue=0.001

# Find AlphaFold predictions for similar sequences
kitsunefetch query.fasta human --database=alphafold

Filtering by Complex State

# HSP90 alone (no complexes)
kitsunefetch HSP90 human --no-complex

# HSP90-CDC37 complexes specifically
kitsunefetch HSP90 human --complex-with=CDC37

Filtering by Structure Properties

# Wild-type dimers only
kitsunefetch HSP90 human --no-mutation --oligomer=2

# Apo structures (no ligands)
kitsunefetch HSP90 human --no-ligand

# Structures with ATP bound
kitsunefetch HSP90 human --ligand=ATP

Combined Filters

# X-ray tetrameric p53 without complexes
kitsunefetch p53 human --no-complex --technique=xray

# High-quality structures with few missing residues
kitsunefetch HSP90 human --max-missing=10 --no-integrative

# All databases, high confidence only
kitsunefetch HSP90 human --database=all --min-plddt=70 --no-mutation

Download Structures

# Download from all databases
kitsunefetch HSP90 human --database=all --download

# Download only AlphaFold structures
kitsunefetch HSP90 human --database=alphafold --download

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📁 Output

The tool creates a timestamped directory with all results:

ALL_HSP90_human_19-12-2025_14-30-45/
├── KitsuneFetch.log              # Command, version, execution time
├── results.csv                   # Main data table
├── filtered_out.csv              # Excluded structures with reasons
├── statistics.txt                # Summary statistics
├── statistics_figures.png        # Pie charts visualization
├── query_sequence.fasta          # Query sequence (FASTA mode only)
├── PDB_structures/               # Downloaded PDB files
│   ├── 1AM1.cif
│   └── ...
├── AlphaFold_structures/         # Downloaded AlphaFold files
│   ├── AF_AFP12345F1.cif
│   └── ...
└── ModelArchive_structures/      # Downloaded ModelArchive files
    ├── MA_MA12345.cif
    └── ...

Directory Naming Convention

Database	Directory Name Example
PDB only	PDB_HSP90_human_19-12-2025_14-30-00/
AlphaFold only	AlphaFold_HSP90_human_19-12-2025_14-30-00/
ModelArchive only	ModelArchive_HSP90_human_19-12-2025_14-30-00/
All databases	ALL_HSP90_human_19-12-2025_14-30-00/
FASTA search	ALL_FASTA_QueryName_19-12-2025_14-30-00/

Results Table Columns

Column	Description
Structure_ID	PDB code or AlphaFold/ModelArchive ID
Source	Database source (PDB, AlphaFold, ModelArchive)
Title	Structure title
DOI	Publication DOI or PMID (PDB only)
Release_Date	Release date
Species	Source organism(s)
Mutation	Mutation status (PDB only)
Exp_Technique	Experimental method or "AI Prediction"
Oligomeric_State	Number of chains in assembly
Mol_Weight	Molecular weight (kDa)
Missing_Residues	Count of unmodeled residues (PDB only)
Ligands	Bound ligands (PDB only)
pLDDT	Confidence score (AlphaFold/ModelArchive only)
UniProt_ID	UniProt accession (AlphaFold/ModelArchive only)
Seq_Score	Sequence similarity score (FASTA mode only)
Seq_Rank	Ranking by sequence similarity (FASTA mode only)

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🔧 Configuration

Create a DATA/ folder next to the script with optional configuration files:

SKIP_LIGANDS.txt

Ligands to exclude from the ligand list:

"HOH", "WAT", "GOL", "EDO", "PEG", "SO4", "PO4", "CL", "NA", "MG", "CA", "ZN"

PROTEIN_NAME_MAPPINGS.txt

Aliases for protein names:

"hsp90": ["Heat shock protein 90", "HSP90AA1", "HSP90AB1"]
"p53": ["Tumor protein p53", "TP53"]

SPECIES_MAPPINGS.txt

Common names to scientific names:

"human": "Homo sapiens"
"mouse": "Mus musculus"
"yeast": "Saccharomyces cerevisiae"

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📊 Sample Output

Console Output

============================================================
🦊 KitsuneFetch v2.0.0 : MULTI-DATABASE QUERY TOOL
============================================================
Protein: HSP90
Database: ALL
Species: human
Filters: no-mutation, min-plddt=70
============================================================

Searching databases...
Search terms used: ['HSP90', 'Heat shock protein 90', 'HSP90AA1']
Species 'human' converted to 'Homo sapiens'

Found 350 structures:
  - PDB: 245
  - AlphaFold: 98
  - ModelArchive: 7

Fetching details via GraphQL...
  Fetching 245 PDB entries...
  Fetching 105 CSM entries (AlphaFold/ModelArchive)...

Parsing 350 entries...
  Filtered out 120 entries (230 remaining)

Created output directory: ALL_HSP90_human_19-12-2025_14-30-45/
  -> results.csv
  -> filtered_out.csv (120 entries)
  -> statistics.txt
  -> statistics_figures.png

============================================================
DONE!
  Fetched: 350 structures
  After filters: 230 structures
  Final output: 230 entries
    - PDB: 156
    - AlphaFold: 70
    - ModelArchive: 4
  Execution time: 2 min 15.32 sec
Output directory: ALL_HSP90_human_19-12-2025_14-30-45/
============================================================

 🦊 KitsuneFetch 🦊    Fetch me if you can!

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🧪 Post-Installation Tests

Test 1: Multi-database search

kitsunefetch HSP90 human --database=all

✅ Expected: Results from PDB + AlphaFold + ModelArchive

Test 2: AlphaFold with pLDDT filter

kitsunefetch HSP90 human --database=alphafold --min-plddt=90

✅ Expected: Only high-confidence AlphaFold predictions

Test 3: FASTA sequence search

kitsunefetch test_sequence.fasta --database=all --identity=0.9

✅ Expected: Structures with ≥90% sequence identity

Test 4: Download from multiple databases

kitsunefetch HSP90 human 2024 --database=all --download

✅ Expected: Separate folders for PDB, AlphaFold, and ModelArchive structures

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🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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🙏 Acknowledgments

• RCSB Protein Data Bank for providing the Search and GraphQL APIs
• AlphaFold Database by DeepMind and EMBL-EBI
• ModelArchive for computational models
• The structural biology community for depositing structures
• This work was supported by RIKEN through the Special Postdoctoral Researcher (SPDR) Program.

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📈 Changelog

v2.0.0 (December 2025)

• ✨ Added multi-database support (PDB, AlphaFold, ModelArchive)
• ✨ Added FASTA sequence search functionality
• ✨ Added pLDDT filtering for AI-predicted structures
• ✨ Added --database option for database selection
• ✨ Added --identity and --evalue options for sequence search
• ✨ Added --min-plddt option for confidence filtering
• ✨ Added unified download for all databases
• 🔄 Changed --download-pdb to --download
• 📊 Updated statistics to include source distribution and pLDDT ranges

v1.0.2

• PDB-only support

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Made with ❤️ for structural biologists

🦊 Fetch me if you can! 🦊