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11,700+ researchers. Published in

  • Microbial Biotechnology
  • Journal of Medicinal Chemistry
  • Antibiotics
  • BMC Plant Biology
  • Translational Neurodegeneration
  • International Journal of Molecular Sciences
  • Microorganisms
  • Molecules
  • Food Chemistry
  • Journal of Molecular Graphics and Modelling
  • Microbial Biotechnology
  • Journal of Medicinal Chemistry
  • Antibiotics
  • BMC Plant Biology
  • Translational Neurodegeneration
  • International Journal of Molecular Sciences
  • Microorganisms
  • Molecules
  • Food Chemistry
  • Journal of Molecular Graphics and Modelling
  • Microbial Biotechnology
  • Journal of Medicinal Chemistry
  • Antibiotics
  • BMC Plant Biology
  • Translational Neurodegeneration
  • International Journal of Molecular Sciences
  • Microorganisms
  • Molecules
  • Food Chemistry
  • Journal of Molecular Graphics and Modelling
  • Microbial Biotechnology
  • Journal of Medicinal Chemistry
  • Antibiotics
  • BMC Plant Biology
  • Translational Neurodegeneration
  • International Journal of Molecular Sciences
  • Microorganisms
  • Molecules
  • Food Chemistry
  • Journal of Molecular Graphics and Modelling

Built for scientific use cases

270+ published methods, running on GPUs with no setup. Every example is a real run you can open.

  1. Folding

    Predict protein structures and complexes with ligands, nucleic acids, and other proteins, with per-residue confidence for every model.

    • Boltz-2, Chai-1, and ESMFold
    • pLDDT, PAE, and ipTM for every model
    • Binding affinity for protein-ligand complexes
    Boltz-2 result for KRAS G12C and U4U, showing the predicted complex and five ranked predictionsBoltz-2 result for KRAS G12C and U4U, showing the predicted complex and five ranked predictions
  2. Docking

    Place small molecules in a binding site and rank the poses, from classical scoring to AI docking and protein-protein docking.

    • AutoDock Vina, Smina, and DiffDock-PP
    • Dock many ligands against one target
    • Validate poses with PoseBusters
    AutoDock Vina batch result for three inhibitors in c-Abl, showing poses from every ligandAutoDock Vina batch result for three inhibitors in c-Abl, showing poses from every ligand
  3. Protein design

    Design binders, antibodies, and new sequences for a target, then check each design with structure prediction.

    • BindCraft, RFdiffusion, and mBER
    • Binders, VHHs, and de novo backbones
    • ipTM and pLDDT on every design
    mBER result showing the relaxed PD-L1 and VHH complex with its confidence metricsmBER result showing the relaxed PD-L1 and VHH complex with its confidence metrics
  4. Alignment

    Align sequences and structures, search databases for homologs, and build phylogenetic trees.

    • Clustal Omega and US-align
    • Homolog search with MMseqs2 and Foldseek
    • Phylogenetic trees with IQ-TREE
    Clustal Omega result showing the beta-globin alignment in the MSA viewerClustal Omega result showing the beta-globin alignment in the MSA viewer
  5. Validation

    Check structures and poses for geometry problems, clashes, and outliers before you rely on them.

    • MolProbity for experimental and predicted structures
    • PoseBusters for docked and co-folded poses
    MolProbity result showing the validation metrics table for ubiquitin 1UBQMolProbity result showing the validation metrics table for ubiquitin 1UBQ
Boltz-2 result for KRAS G12C and U4U, showing the predicted complex and five ranked predictionsBoltz-2 result for KRAS G12C and U4U, showing the predicted complex and five ranked predictions
AutoDock Vina batch result for three inhibitors in c-Abl, showing poses from every ligandAutoDock Vina batch result for three inhibitors in c-Abl, showing poses from every ligand
mBER result showing the relaxed PD-L1 and VHH complex with its confidence metricsmBER result showing the relaxed PD-L1 and VHH complex with its confidence metrics
Clustal Omega result showing the beta-globin alignment in the MSA viewerClustal Omega result showing the beta-globin alignment in the MSA viewer
MolProbity result showing the validation metrics table for ubiquitin 1UBQMolProbity result showing the validation metrics table for ubiquitin 1UBQ

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.

    A multi-step docking workflow in the ProteinIQ editorA multi-step docking workflow in the ProteinIQ editor
  • Batches

    Run one tool across hundreds of sequences or molecules and keep the results together.

    Boltz-2 batchRunning
    Structures predicted61 of 96
    • KRAS_G12C.fastaDone
    • KRAS_G12D.fastaDone
    • KRAS_G12V.fastaRunning
    • KRAS_Q61H.fastaQueued
    • KRAS_Q61L.fastaQueued
  • API and Python SDK

    Discover tools, estimate costs, submit jobs, and fetch results from notebooks, pipelines, or AI agents over MCP.

    quickstart.pyPython
    from proteiniq import ProteinIQ
    
    with ProteinIQ() as client:
        job = client.jobs.submit(
            tool="esmfold",
            name="KRAS G12C",
            input=kras_input,
        )
        result = client.results.wait(job.id)
        print(result.results)
  • AI assistant

    Interpret results, troubleshoot runs, and draft methods sections. Follow-up jobs wait for your approval.

    The ProteinIQ assistant writing a methods section for a Boltz-2 jobThe ProteinIQ assistant writing a methods section for a Boltz-2 job
  • Files and collections

    Uploads and outputs land in one library. Send any file to the next tool or group sets for your team.

    Drop files into your library
    PDB · SDF · FASTA · CSV
    kras_g12c.pdb
    ligands.sdf72%
    KRAS ligand setCollection · 24 files
  • Projects

    Keep related results, files, and workflows together so a study stays in one place.

    KRAS G12C inhibitorsProject
    • ResultSotorasib redockAutoDock Vina
    • ResultKRAS G12C complexBoltz-2
    • Filekras_g12c.pdb412 KB
    • WorkflowDock and validate3 steps
    • Fileligands.sdf2.4 MB
    • ResultPose validationPoseBusters

Used in published research

Peer-reviewed studies that ran their analysis on ProteinIQ.

See all papers
  • Microbial BiotechnologyAug 2026

    Structure-Guided Extremophile Genome Mining Expands the PETase Landscape and Reveals PET-Hydrolysing True Lipase Lineages

    Read the story
  • Journal of Medicinal ChemistryAug 2026

    PepGate: A Dual-Path Diffusion Framework for ACE Inhibitory Peptide De Novo Design

    Read the story
  • AntibioticsJul 2026

    Phospholipid-Coated Fe3O4 Nanoparticles Enable Rapid Screening of Putative Antimicrobial Peptides from Clanis bilineata tsingtauica Hemolymph

    Read the story
  • BMC Plant BiologyJun 2026

    The presence and impact of G-quadruplexes in plant chloroplast DNA

    Read the story
  • Translational NeurodegenerationApr 2026

    The Drp1-CoQ10-Coa6-ETC axis represents a therapeutic potential for working memory impairment caused by neuronal mitochondrial dysfunction

    Read the story
  • International Journal of Molecular SciencesMar 2026

    Synthesis and Auxin-like Activity of Halogenated Alkylphenoxyacetic Acids

    Read the story

“Having separate tools integrated into one single dashboard made it incredibly straightforward to manage the entire workflow.”

Asma ZafarBiotechnology graduate
LinkedIn

“The docking interface is easy and trustworthy.”

Dr Uzma SaqibScientist
LinkedIn

Also mentioned by BiopharmaTrend, ParaSurf on GitHub, and HTGAA. Share your experience.

What’s new

Recent tools and upgrades.

Full changelog
  • October 10, 2026Eight new chemistry and sequence tools arrive, along with NuCaliby for designing coding DNA from protein backbones and task-based tool search
  • October 4, 2026SMINA adds flexible side-chain docking, and many hosted tools now expose more of their native settings and outputs
  • October 2, 2026Eight new Boltz models and screening tools arrive, alongside DeepRank-Ab, DiffDock-PP and OpenDDE
  • September 25, 2026CatPred now predicts enzyme kinetics, and FreeBindCraft adds a second hosted option for binder design

Frequently asked questions

Something else on your mind? Get in touch.

ProteinIQ is a browser workspace for running 270+ 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, 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 200 free credits and no installs. Upgrade when your project needs more compute.

Start for freeView pricing
ProteinIQ

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