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ProteinIQ

Runs protein structure prediction, docking, design and validation tools in a browser on GPUs, chaining results into reusable workflows.

From $23/user/moActively maintained

AnalyticsFree tier
proteiniq.io ↗XLinkedIn
Open proteiniq.ioAlternativesSet it up for my teamIs ProteinIQ yours? Claim the card →
At a glanceswept Oct 14, 2026

≈ 1.1kvisits/mo

Little sign of use · estimate, read Oct 14, 2026

For
researchers running protein folding, docking and design work without writing code or installing software
Price
From $23/user/mopricing page, read Oct 16, 2026Trial & discounts: save 50% yearly
Activity
Actively maintainedsite updated 3 days ago
Company
since 2025per their site
Runs as
SDKAPI
Used for
  • predict protein structures and complexes with ligands
  • dock small molecules into binding sites and rank poses
  • design binders and check them with structure prediction
read off proteiniq.io on Oct 16, 2026
Worth knowingcomputed from what we read · each with its source
Pricingpricing page, read Oct 16, 2026

From $23/user/mo

Trial & discounts save 50% yearly

pricing page

The companyeach fact with its source · read Oct 17, 2026
Your datawhat they publish, each line with its page · read Oct 16, 2026

“Your sequences, structures, results, and AI chats are never used to train models.”

security page ↗

These are ProteinIQ's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read Oct 16, 2026
  • MCP serverio.proteiniq/proteiniqverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-16
  • Address to connectproteiniq.io/mcp
  • OpenAPI spec29 pathsthe spec ↗
  • API docsproteiniq.io/docs/apithe vendor's page ↗
  • MCP docsproteiniq.io/mcp-serverthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Most used in Analyticsby use, among tools still maintained — this tool shares no tags yet

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is ProteinIQ?

    Runs protein structure prediction, docking, design and validation tools in a browser on GPUs, chaining results into reusable workflows. It is listed in the Atlas under Analytics.

  • Who is ProteinIQ for?

    researchers running protein folding, docking and design work without writing code or installing software

  • How much does ProteinIQ cost?

    Paid plans start at $23/user/mo, per ProteinIQ's pricing page on 2026-10-16.

  • Do people use ProteinIQ?

    Little sign of use: ≈ 1.1k visits/mo · estimate, 2026-10.

  • Is ProteinIQ still maintained?

    Actively maintained: site updated 3 days ago.

  • Does ProteinIQ train AI on your data?

    No, per its security page (2026-10-16): “Your sequences, structures, results, and AI chats are never used to train models.”

  • Is ProteinIQ safe?

    We do not audit vendors. What ProteinIQ publishes, read 2026-10-16: GDPR stated on its security page; on training with your data, “Your sequences, structures, results, and AI chats are never used to train models.”.

  • How do I cancel ProteinIQ?

    In its own words (terms of service, 2026-10-16): “You may cancel your subscription at any time through your account settings or by contacting support.”

  • Does ProteinIQ give refunds?

    In its own words (terms of service, 2026-10-16): “Except as expressly stated in this Agreement or required by law, payment obligations are non-cancelable and Fees are non-refundable.”

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.