The highway for molecular and synthetic biology.

Open Turing →
Read the docs

Fig. 01 — cohesin module · PDB 1OUV · ribbon

The researcher network

Profiles · research feed · direct messages

Find the people behind the research.

Meet researchers, share what you are working on, and start a collaboration.

  • Share the work. Post a result, a paper, a preprint, a question — or a TuringDNA project card. Sequences never leave; a project shares its name and target only.
  • Follow the field. Every researcher has a profile. Follow the people whose work you track, and see what they ship.
  • Talk directly. Message a collaborator, comment, repost, like — the things a working network is actually for.
  • Build your research profile. Give collaborators a place to discover your interests, projects, and updates.
Explore the researcher network →

01 · What TuringDNA is

TuringDNA is the operating system for biology. Every tool you need in one platform, without the friction.

02 · Design · Read · Build · Edit

Our four main engines:

01 Design

ESM & directed-evolution engine

TuringDNA runs language-model scoring and in-silico directed evolution on your target, proposing variants and ranking them by predicted fitness. We give you constraints like expression host, motif blocks, and liability filters up front, so you catch them on screen instead of at the bench.

  • InputA target sequence, or a PDB structure
  • OutputRanked variants with per-position scores
Fig. 02 — variant ranking

02 Read

Evo 2 genome model

DNA-level zero-shot scoring on Evo 2 to predict functional impacts of genetic variants. Running on StripedHyena 2 rather than a transformer, Evo 2 can provide per-nucleotide scores even across large context windows.

  • InputA reference sequence up to 50,000 nt
  • OutputPer-nucleotide scores across coding, regulatory and non-coding regions
Fig. 03 — nucleotide scoring

03 Build

Plasmid building

Import or paste a sequence and get back a fully annotated plasmid. Simulate digests and run gels before touching the bench, and integrate with previously designed variants without needing to handle file uploads.

  • InputA pasted sequence, or GenBank, FASTA, SnapGene
  • OutputAn annotated plasmid, with simulated digest and gel
Fig. 04 — plasmid map

04 Edit

CRISPR design

Generate guide RNAs scored with Doench on-target rules and checked for off-target specificity, directly against the construct you're already editing in Turing. Every guide's cut site is mapped back onto the plasmid map, so you can move from evolved variant to edited construct without leaving the conversation.

  • InputThe construct open in the editor, and the edit you want
  • OutputScored guides, with cut sites mapped onto the plasmid
Fig. 05 — guide track
01 / 04

03 · The rest of the platform

Everything else you need.

All your tools, put into one toolbox.

04

Annotation & alignment

Auto-feature calling, MSA, ORF and domain detection.

05

Codon optimisation

Host tables, GC and repeat control, expression tuning.

06

Primers & cloning sim

Gibson, Golden Gate, restriction — simulated before you order.

07

Structure & docking view

Predicted fold beside the sequence, not in another tab.

08

Library planning

Variant libraries, barcoding, plate layout.

09

Protocol export

Bench sheet, liquid handler, ELN and LIMS write-back.

10

API & batch

Python SDK, REST, headless runs for the terminal half of the lab.

11

Versions & workspaces

Branch a construct, review a change, share a project.

04 · The conversational engine

Meet Turing.

Run the whole workflow in plain language.

Describe what you're engineering the way you'd say it to a colleague. Turing resolves the gene, scores every substitution, builds the map and hands back the files — and asks when it needs a decision from you rather than guessing.

  • No scripting. The engine and the editor take the same instruction.
  • No tab-switching. Design, build and edit answer in one thread.
  • No re-keying. Every artifact attaches to the construct it came from.
Open Turing →
Turing Model · Achilles

Tell me what you're engineering.

Improve PCSK9 thermostability without losing LDLR binding.
Resolving the gene
Scored every position against the wild type and kept the substitutions that hold the binding interface. Ranked library and map are below.
Ranked library Plasmid map Mutation landscape Virtual gel

Fig. 04 — Turing language model

05 · The commons

Every figure fetched live from the engine · nothing hand-entered

It gets smarter with every lab that uses it.

Your measurements sharpen the model. Your sequences never leave.

—

Substitution types mapped, live

—

Spearman ρ against published bench data

—

Growth history starts with the next update

Every measurement you log — de-identified, never your sequence — sharpens the model for everyone who comes after. A closed system only improves when its own team retrains it. This one compounds on its own.

Fig. 06 — substitution-effect atlas Live · from / to amino acid

Loading the commons…

Checked against Stiffler et al. 2015 Cell, Melamed et al. 2013 RNA, and McLaughlin et al. 2012 Nature — the same public benchmarks the field uses to grade protein language models. Explore the full Field Atlas →

06 · Imports and exports

Bring the project you already have.

In. GenBank, FASTA, SBOL, PDB, SnapGene, plate CSV, Benchling export. Bring the project you already have; you don't restart it here.

Out. Synthesis vendors, liquid handlers, ELN and LIMS, Python SDK, REST. TuringDNA runs everything from start to end.

06 · Provenance, security

Provenance, security and IP

Your sequences are not training data.

The model is open to the public, but your input data is not. Everything stays private.

Audit trail

Every construct records the origin, author, parameters, and parent version. Exportable for IP and for reviewers.

08 · Tiers

Every capability listed on both sides, not just the differences

Achilles and Prometheus.

Same platform, different models.

AchillesEntry PrometheusFull
Protein scoring
ESM-2 35M · in-process, CPU
ESM-2 650M · Modal GPU
DNA generation
Not included
Included
DNA scoring
Evo 2 7B
Evo 2 7B
Directed evolution
Included
Included
Plasmid building
Included
Included
CRISPR design
Included
Included
Primers & cloning sim
Included
Included
Structure & docking
Included
Included
API & batch
Included
Included

09 · Pricing

Start free. Pay only when you outgrow it.

Plans.

The whole workbench is free. Compute runs on credits.

Free

$0

For trying the whole platform.

  • The full workbench — directed evolution, CRISPR, plasmids, primers, structure
  • 10 credits a month
  • Your work kept for 45 days
Open Turing

Starter

$15/month

For a first real project.

  • Everything in Free
  • 75 credits a month
  • Your work kept with no expiry
Get started

Most popular

Pro

$50/month

For steady, serious work.

  • Everything in Free
  • 250 credits a month
  • Your work kept with no expiry
  • Top up with more credits anytime
Get started

Enterprise

Let’s talk

For labs and teams.

  • Seats for your whole team, one shared pool of credits
  • Volume pricing
  • A plan shaped around how your lab works
Contact us

One credit is about one everyday design run; heavier runs use more. Prices in USD, sold through our reseller Paddle, with tax shown at checkout.

Before you buy

Seller
TuringDNA is a trading name of Tengo Gzirishvili, an individual entrepreneur registered in Georgia, Tbilisi. info@turingdna.com
Price and tax
Starter $15, Pro $50 per month, excluding VAT or sales tax. Paddle, our Merchant of Record, adds your country’s tax and shows the total before you confirm.
Renewal
Your subscription renews automatically every month until you cancel. Cancel at paddle.net or from your Paddle receipt; access runs to the end of the paid period.
Withdrawal
14 days to withdraw, under the Law of Georgia on the Protection of Consumer Rights (2022) and equivalent EU, EEA and UK rights. See the Refund & Cancellation Policy and Terms.

10 · Questions we actually get

Questions we actually get

What models are behind the engine?

ESM-2 runs protein scoring and Evo 2 handles DNA. A larger 650M model is available too — it runs on a rented GPU and uses more of your monthly credits. Every account can reach both models; your plan sets how many credits you get, not which models you can run.

Who owns what I design here?

You own everything you put in and get out. The audit trail on each construct is exportable for IP and for reviewers.

Can I use it without writing code?

Yes. The editor and the design engine are conversational and visual.

What does it cost?

The whole workbench is free, with 10 compute credits a month. Starter is $15/month for 75 credits, and Pro is $50/month for 250 credits with no expiry on your work and top-ups anytime. See Pricing.

Open to everyone

Open Turing.

No request, no waitlist. Load your sequences and run.

Open Turing →
Read the docs