Bioinformatics
in your browser
Run 290+ published tools, from Boltz-2 to AutoDock Vina, on hosted GPUs. No code and nothing to install.
14,700+ researchers. Published in
290+ tools. One platform.
Find any published method by name, task, or discipline, and run it in your browser.
Built for scientific use cases
290+ published methods, running on GPUs with no setup. Every example is a real run you can open.
One workspace from first
run to full pipeline
Chain tools, run them at scale, script them, and keep every file and result organized.
Workflows
Chain preparation, docking, and validation. Results pass between steps, and you see the total cost before anything runs.
Batches
Run one tool across hundreds of sequences or molecules and keep the results together.
API and Python SDK
Discover tools, estimate costs, submit jobs, and fetch results from notebooks, pipelines, or AI agents over MCP.
AI assistant
Interpret results, troubleshoot runs, and draft methods sections. Follow-up jobs wait for your approval.
Files and collections
Uploads and outputs land in one library. Send any file to the next tool or group sets for your team.
Projects
Keep related results, files, and workflows together so a study stays in one place.
Changelog
Full changelog →Mol-1 and Prompteina arrive in beta for predicting biomolecular complexes and for designing proteins from a plain English description.
RFD4-Proteina arrives in beta for designing binders, enzymes and ligand pockets, and BioEmu2 samples equilibrium ensembles of proteins, nucleic acids and ligands.
ANARCI now renumbers antibody and TCR structures, and MD trajectory analysis results read as one report with publication-ready figures.
Eight new chemistry and sequence tools arrive, along with NuCaliby for designing coding DNA from protein backbones and task-based tool search.
Used in published research
- Anti-MRSA bacteriocin models checked with Ramachandran plotsAntibioticsWalailak University
- Comparing PET-active lipase surfaces by solvent accessibilityMicrobial BiotechnologyBarcelona Supercomputing Center and ICP-CSIC
11 peer-reviewed papers have used or recommended ProteinIQ.
Research stories →Frequently asked questions
Something else on your mind? Get in touch.
ProteinIQ is a browser workspace for running 290+ 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 200 credits and up to 3 jobs per day on cloud tools. Tools that run in your browser are free and unlimited: they cost 0 credits and do not count toward the daily job limit. Paid plans add monthly credits, batches, and higher limits.
See pricing for plan details.
Yes. Your sequences, structures, and results are never used to train AI models, and we do not sell them or share them beyond the infrastructure providers that run the service. Each job runs in its own isolated container, and data is encrypted in transit and at rest.
Some tools send inputs to an outside service as part of how they work. Structure predictors that build MSAs, such as Boltz-2, Chai-1, OpenFold3, and AlphaFold2, send protein sequences to the public ColabFold server. Several do this by default, and BioEmu always does for sequence input. The AI Assistant passes what you give it to a language model through OpenRouter. The security page explains each case, including how to keep your sequences off the public MSA server.
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 200 free credits and no installs. Upgrade when your project needs more compute.