Bioinformatics in your browser
Fold, design, dock, and simulate with 240+ published tools. No installs, no command line, no GPUs to rent.
Free plan with 100 credits. Upgrade when you need more.
Used by researchers at universities, biotech startups, and pharmaceutical companies worldwide
- Researchers
- 11,700+
- Jobs run
- 25,000+
- Scientific tools
- 243
- Institutions
- 40+
From sequence to result in three steps
Skip the environment setup, dependency conflicts, and GPU queues. Pick a method, add your data, and read the results in the same place.
- Step 1
Choose a tool
Find the right method for your question, from structure prediction and protein design to docking and sequence analysis.
- Step 2
Add your data
Paste a sequence, upload files, or fetch from PDB, UniProt, and PubChem. Adjust settings, see the credit cost, and submit.
- Step 3
Explore the results
Inspect structures and scores in an interactive viewer, download every output file, or send results to the next tool.
240+ tools, from folding to simulation
The open source methods you know from the literature, set up and running on GPUs. Pick one to try it with your own data.
Connect tools into workflows
Chain structure preparation, docking, and validation into one pipeline. Results pass between steps automatically, and you see the total cost before anything runs.
Build a workflow
From one run to your whole pipeline
Start with a single job in the browser. When the project grows, the same tools scale to batches, code, and guided analysis.
Run hundreds of inputs at once
Apply one tool across a set of sequences or molecules. Track every job and keep the results together.
Script it through the API
Discover tools, estimate costs, submit jobs, and fetch results from your own pipelines and notebooks.
Ask the AI assistant
Interpret results, troubleshoot runs, and draft methods sections. Follow-up jobs wait for your approval.
Built for research you can publish
Hosted tools run the authors’ published code, not a reimplementation. You know exactly what ran, what to cite, and where your data went.
How we protect your data
Boltz-2
Structure and binding affinity prediction
- Source
- github.com/jwohlwend/boltzThe authors’ open source code, MIT license
- Version
- boltz 2.2.1Pinned, so reruns use the same release
- Cite
- Wohlwend J, Corso G, Passaro S, et al. Boltz-2: Towards accurate and efficient binding affinity prediction. bioRxiv, 2025.doi:10.1101/2025.06.14.659707
- Compute
- Isolated GPU containerEncrypted in transit and at rest
- Your data
- Private to your workspaceNever used for AI training or shared with third parties
- Cost
- From 50 credits, shown before you submitRefunded automatically if the job fails
Used and cited by researchers
Peer-reviewed papers, public posts, and editorial coverage that mention ProteinIQ.
inThe docking interface is easy and trustworthy.
A study screening insect-derived antimicrobial peptides used ProteinIQ’s Chou–Fasman tool to predict peptide secondary structure.
ParaSurf is live on proteinIQ.io!
inHaving separate tools integrated into one single dashboard made it incredibly straightforward to manage the entire workflow
Researchers used ProteinIQ’s Protenix server to predict a Coa6–CoQ10 complex in a study of neuronal mitochondrial dysfunction and working memory.
I performed reverse translation with the help of ProteinIQ
An overview of diffusion models in drug discovery features ProteinIQ and its browser-based workflow for running molecular design tools.
Researchers used ProteinIQ to calculate physicochemical properties of plant-derived peptides, including theoretical pI, instability index, aliphatic index, and GRAVY.
A study of PET-hydrolysing enzymes cites ProteinIQ’s SASA calculator in its supporting information for comparing active-site accessibility.
Have something to share? Tell us about your experience.
A word from the founder
Scientists should be able to try a promising computational method without first becoming experts in installing and running it. Yet trying a tool from a paper can mean days of software setup, finding GPU access, and moving files between analyses.
We’re building ProteinIQ so you can get right to researching. Start with a sequence, predict its structure, and explore potential binding partners. Design variants, compare candidates, and investigate their behavior with molecular dynamics. Use what you learn to choose your next experiment and share with your teammates.
240+ bioinformatics tools share one browser-based workspace. Run a single analysis, test candidates in batches, or connect tools into workflows. Your files and results stay together in the cloud, ready for the next question.
Our aim is to shorten the distance between reading about a method and using it to investigate your own question.
Questions
Something else on your mind? Get in touch.
ProteinIQ is a browser workspace for running 240+ bioinformatics tools, including structure prediction, protein design, molecular docking, molecular dynamics, and sequence analysis. Your files, jobs, and results live in one place, and tools can be chained into workflows or run in batches.
No. Lightweight tools run directly in your browser, and heavier models run on cloud GPUs that we manage. You only need a web browser.
The Free plan includes 100 credits and up to 3 jobs per day, and tools that run in your browser cost 0 credits. Paid plans add monthly credits, batches, and higher limits.
See pricing for plan details.
Yes. Your sequences, structures, and results are never used for AI training or shared with third parties. Jobs run in isolated containers, and data is encrypted in transit and at rest.
Read more on our security page.
Commercial use requires a Pro or Enterprise plan. For team procurement, security reviews, or custom compute, talk to sales.
Credits for jobs that end in Failed or Timeout are refunded automatically.
Yes. The ProteinIQ API lets you discover tools, estimate costs, submit jobs, and retrieve results from scripts, notebooks, and pipelines.
Run your first analysis today
Start with 100 free credits and no installs. Upgrade when your project needs more compute.