Used by researchers like you, daily
From students to scientists, ProteinIQ makes science accessible to everyone.
Researchers
Used by researchers at Harvard, Stanford, Thermo Fisher, Cambridge, and 40+ institutions worldwide.
Jobs submitted
Jobs run on NVIDIA B200, H200, & A100 GPUs. Get results in minutes, not days.
Tools available
Upload your data, click run, download results. No installation, no dependencies, no waiting.
What can you do with ProteinIQ?
Browse tools by task, compare methods, and move between folding, docking, design, analysis, and utilities without rebuilding your workflow each time.
Folding
Predict 3D protein structures from sequences
- Structure Prediction
Design
Design and engineer new proteins, antibodies, and molecules
- Inverse Folding
- De Novo Design
Docking
Predict how molecules bind to proteins
- Classical Docking
- AI-Powered
- Protein-Protein
Simulation
Run molecular dynamics and simulations
- Molecular Dynamics
- Analysis
Alignment
Align, search, and compare sequences and structures
- Alignment
- Search
- Phylogenetics
Screening
Filter compounds and predict properties
- Drug-likeness
- ADMET Prediction
- Toxicity
Analysis
Calculate properties, validate structures, and generate embeddings
- Embeddings
- Sequence Properties
- Structure Properties
Utilities
Convert formats, clean files, and generate sequences
- Convert
- Clean
- Generate
Easy publishing
Researchers are using ProteinIQ to publish high-quality studies
Researchers use ProteinIQ to generate figures, analyses, and results for peer-reviewed studies. Explore published examples and see how the platform is being used.
Get started with ProteinIQ
Free
Includes:
- 100 credits
- 3 jobs per day
- 1 concurrent job
- 1 workflow
- 1 seat
- Core tool features
- Academic license
Lite
Everything Free, plus:
- 500 credits / month
- No daily job limit
- 2 concurrent jobs
- 3 workflows
- Advanced tool settings
- AI assistant, SVG export, batch runs, and workflows
Plus
Everything Lite, plus:
- 2,000 credits / month
- 5 concurrent jobs
- 5 workflows
Pro
Best valueEverything Plus, plus:
- 8,000 credits / month
- 10 concurrent jobs
- 20 workflows
- Commercial license
Frequently asked questions
ProteinIQ.io is a browser-based bioinformatics platform designed to streamline molecular research by providing instant access to advanced AI models and computational tools. It functions as a central hub where researchers can predict protein structures, design novel binders, and analyze drug-like properties without needing their own high-performance computing infrastructure.
Yes, everyone can use ProteinIQ for free. We have several completely free tools you can use as much as you want without paying anything. Every account also starts with free credits that you can use to run GPU-intensive tools like AlphaFold or molecular docking. If you need more credits, you can purchase subscription starting at $23 per month to run dozens of docking or folding jobs.
No, you don't need to install anything. ProteinIQ is a fully cloud-based platform, meaning everything runs directly in your web browser. All the heavy lifting, like running AI models (AlphaFold, Boltz-2) or complex molecular docking, happens on our servers. This is a huge plus because you don't need an expensive GPU or a powerful workstation; a basic laptop or even a tablet will work. You also don't have to deal with Linux environments, Python dependencies, or complex bioinformatics software installations.
ProteinIQ hosts a comprehensive suite of 180+ cloud-based bioinformatics tools across protein structure prediction (Boltz-2, AlphaFold 2, Chai-1, EMSfold), molecular docking (AutoDock, DiffDock, GNINA), sequence alignment (BLAST, MUSCLE, Clustal Omega), format conversion, visualization, and more. New tools are added regularly based on community requests and new publications.
Yes. ProteinIQ runs the same open-source tools you would use locally, so the scientific outputs are identical to what you would get on your own machine. We recommend citing the original tool authors in your publications, and each tool page includes the relevant citation.