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Bioinformatics tools & workflows in your browser

Run AlphaFold2, Boltz-2, and 190+ more state-of-the-art models from your browser. Connect them into custom workflows.

proteiniq.io/app/chai-1
Chai-1

EGFR kinase with gefitinib (cancer drug target)

Browser-framed protein preview with the extra app chrome stripped back.

Proteiniq is for everyone

Used by researchers daily, from students to scientists

ProteinIQ makes science accessible to everyone by allowing you to run almost 200 protein tools in your browser.

Researchers

3,300+

Used by researchers at Harvard, Stanford, Thermo Fisher, Cambridge, and 40+ institutions worldwide.

Jobs submitted

25,000

Jobs run on NVIDIA B200, H200, & A100 GPUs. Get results in minutes, not days.

Tools available

194

Upload your data, click run, download results. No installation, no dependencies, no waiting.

One platform, many workflows

Go from sequence to structure to screening in one place

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

Try folding

Design

Design and engineer new proteins, antibodies, and molecules

Try design

Docking

Predict how molecules bind to proteins

Try docking

Simulation

Run molecular dynamics and simulations

Try simulation

Alignment

Align, search, and compare sequences and structures

Try alignment

Screening

Filter compounds and predict properties

Try screening

Analysis

Calculate properties, validate structures, and generate embeddings

Try analysis

Utilities

Convert formats, clean files, and generate sequences

Try utilities

Easy publishing

Researchers are using ProteinIQ to publish high-quality studies

RResearchers use ProteinIQ to generate figures, analyses, and results for peer-reviewed studies. Explore published examples and see how the platform is being used.

Anticancer plant peptides profiled with ProteinIQ

Anticancer plant peptides profiled with ProteinIQ

Protein Parameters
Molecules review recommends GNINA and PocketFlow for enzyme engineering

Molecules review recommends GNINA and PocketFlow for enzyme engineering

GninaPocketflow
Halogenated auxin lipophilicity profiled with molecular descriptors

Halogenated auxin lipophilicity profiled with molecular descriptors

Molecular Descriptors

Get started with ProteinIQ

MonthlyAnnual (save 20%)

Free

$0

Includes:

  • 100 credits
  • 1 job per day
  • 1 concurrent job
  • 1 team member
  • Basic tool features
  • Academic license

Starter

$23/month

Everything in Free, plus:

  • 2,000 credits / month
  • No daily limit
  • 3 concurrent jobs
  • All tool features

Researcher

Best value
$79/month

Everything in Starter, plus:

  • 8,000 credits / month
  • 5 concurrent jobs

Lab

$31/user/month

Everything in Starter, plus:

  • 2,000 credits per user / month
  • 10 concurrent jobs
  • 2–50 team members
  • Team management settings
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Frequently asked questions