ProteinIQ
Getting started

What is ProteinIQ?

Run bioinformatics tools in your browser, no installation required.

ProteinIQ is a comprehensive platform for protein and molecular analysis. Run molecular docking, predict protein properties, convert file formats, and analyze sequences—all from your browser. With 35+ tools ranging from simple format converters to ML-powered prediction models, ProteinIQ handles everything from quick conversions to complex computational workflows. Your data stays private with client-side processing, and there's nothing to install.

What can you do with ProteinIQ?

  • Run molecular docking with AutoDock Vina, GNINA, or DiffDock
  • Predict protein properties including stability, toxicity, and ADMET profiles
  • Convert file formats between FASTA, PDB, GenBank, FASTQ, and more
  • Analyze sequences for GC content, amino acid composition, and protein parameters
  • Design proteins with ProteinMPNN, LigandMPNN, and BoltzGen
  • Generate structures from sequences or predict secondary structure
  • Process molecular data with descriptor calculations and Lipinski's Rule of Five
  • Work with DNA/RNA including mutation, reverse complement, and random generation

Get started →

Popular tools

Molecular docking

  • DiffDock - ML-powered protein-ligand docking
  • AutoDock Vina - Industry-standard docking tool
  • GNINA - Deep learning-enhanced molecular docking

Protein design

Analysis

Conversion

Explore all tools →

Who is ProteinIQ for?

ProteinIQ helps researchers move faster without wrestling with installation, dependencies, or infrastructure.

Researchers

Run computational experiments without setting up complex software environments. Test hypotheses quickly, process data between analysis steps, and generate figures for publications.

Examples:

  • Dock hundreds of ligands to find binding candidates
  • Calculate protein properties for manuscript tables
  • Convert structure files for different analysis pipelines
  • Predict ADMET properties before synthesis

Students

Learn bioinformatics by using real tools on real data. Focus on understanding the science instead of fighting installation errors.

Examples:

  • Run molecular docking for computational chemistry coursework
  • Calculate protein parameters for biochemistry assignments
  • Practice sequence analysis without server access
  • Visualize protein structures for presentations

Educators

Demonstrate computational techniques without requiring students to install software. Create reproducible examples that work on any device.

Examples:

  • Show molecular docking in real-time during lectures
  • Assign computational problems students can complete on laptops
  • Create tutorials with consistent tool versions
  • Share analysis workflows via URLs

Drug Discovery Teams

Prototype binding predictions and filter candidates before expensive synthesis. Run quick property predictions to prioritize molecules.

Examples:

  • Screen compound libraries against protein targets
  • Predict toxicity and ADMET profiles for lead optimization
  • Calculate molecular descriptors for QSAR models
  • Validate binding poses before experimental validation

Computational Biologists

Quickly run one-off analyses without spinning up compute clusters. Convert formats, validate data, and prototype workflows.

Examples:

  • Convert between structure formats for different tools
  • Calculate sequence properties for dataset annotation
  • Validate protein structures before large-scale analysis
  • Generate test data for pipeline development

What makes ProteinIQ different?

  • No installation - Run tools directly in your browser
  • Privacy-first - Data processing happens locally when possible
  • 35+ tools - From simple converters to ML-powered predictions
  • Modern stack - Built with Next.js, runs on Modal for compute
  • Free to use - Core functionality available without payment
  • Real-time feedback - See results as they're generated
  • No expertise required - Sensible defaults with advanced options available