RoseTTAFold

Level 22: Biology, Chemistry & Drug Discovery

Science · Level 22

Open tool website ↗

In short

RoseTTAFold is an AI tool in the Biology & Medicine category from University of Washington (Baker Lab / RosettaCommons) in Seattle, United States. The pricing model is open source. It is with an English interface that handles German content.

Company HQSeattle, United States· University of Washington (Baker Lab / RosettaCommons)

What is RoseTTAFold?

RoseTTAFold is a deep learning-based model designed to predict the three-dimensional structure of proteins based on their amino acid sequence. The tool utilizes a three-track network that simultaneously processes information regarding sequence patterns, spatial distances, and coordinates. Developed by researchers at the University of Washington's Institute for Protein Design, it is deeply integrated with the global scientific community.

The working principle relies on an iterative process where the model continuously exchanges information between the one-dimensional sequence space and the three-dimensional coordinate space. Through this interaction, the system generates high-precision predictions of protein folding, even when experimental data is limited. This significantly accelerates biological research by supplementing or replacing time-consuming crystallography methods with computational simulations.

Users can submit their sequence data via the Robetta web server, where computations are performed on university clusters. Alternatively, the source code is available for local installation, which is particularly beneficial for users with sensitive data or high computational demands. The flexibility of the model also allows for the prediction of protein complexes and the analysis of interactions between different molecular components.

Core features & strengths

  • Precise Structure Prediction — RoseTTAFold provides high-accuracy 3D structural models for proteins and protein complexes. It uses advanced deep learning architectures to efficiently calculate the spatial arrangement of amino acids.
  • Three-Track Network Architecture — The system processes sequence information, pairwise distances, and 3D coordinates simultaneously. This allows for a deeper understanding of the structural relationships within the protein.
  • Local and Web-based Usage — Users can conveniently utilize the tool via the Robetta web interface or host the source code locally. This offers complete control over data processing and computational resources.

Who is this tool for?

The tool is primarily aimed at bioinformaticians, molecular biologists, and researchers in the field of drug discovery. It is an essential instrument for academic institutions that need to analyze protein structures on a large scale.

Typical use case

A research team is investigating a previously unknown enzyme involved in a metabolic pathway. They input the amino acid sequence into RoseTTAFold to simulate the protein's 3D folding in a short amount of time. Based on the generated structural model, the scientists can identify potential binding sites for new drug candidates. This saves valuable time in the laboratory as they can conduct more targeted experiments rather than testing every possibility via trial and error.

What is RoseTTAFold good for?

  • The tool is primarily aimed at bioinformaticians, molecular biologists, and researchers in the field of drug discovery. It is an essential instrument for academic institutions that need to analyze protein structures on a large scale.
  • A research team is investigating a previously unknown enzyme involved in a metabolic pathway.
  • Precise Structure Prediction: RoseTTAFold provides high-accuracy 3D structural models for proteins and protein complexes. It uses advanced deep learning architectures to efficiently calculate the spatial arrangement of amino acids.
  • Three-Track Network Architecture: The system processes sequence information, pairwise distances, and 3D coordinates simultaneously. This allows for a deeper understanding of the structural relationships within the protein.
  • Local and Web-based Usage: Users can conveniently utilize the tool via the Robetta web interface or host the source code locally. This offers complete control over data processing and computational resources.

When a different tool fits better

The tool is not suitable for users without a solid background in bioinformatics, as the results require expert interpretation. Furthermore, it should not be used for medical diagnosis or clinical decisions regarding patients.

Pricing & plans

RoseTTAFold is an open-source tool freely accessible for academic and research purposes via the University of Washington's Robetta server.Free

Supported languages

DEGerman — content yes, interface in EnglishENEnglish — fully supported

The web interface is available exclusively in English; scientific content is generally understandable through context.

Interface = the tool's menu language, content = the language you can work in. Without guarantee — vendors keep expanding their language coverage.

Privacy & GDPR

Academic servers in the USA. Data is processed for research purposes; no commercial use without license.

Fact sheet

Fact sheet with the key data
VendorUniversity of Washington (Baker Lab / RosettaCommons)
HeadquartersSeattle, United States
CategoryBiology & Medicine
Pyramid levelLevel 22 – Biology, Chemistry & Drug Discovery
Pricing modelOpen Source
Free forever optionYes
Open SourceYes
Entry planAcademic/Research: 0 (0)
Germancontent only, English interface
Englishinterface and content
Privacy classificationUS Cloud
Data processing agreementThere is no explicit enterprise model or standard DPA available; usage is governed by the university's academic terms.

Alternatives to RoseTTAFold

  • AlphaFold — Open Source · HQ: London, United Kingdom · GDPR / EU
  • Cradle — Paid · HQ: Amsterdam, Netherlands · GDPR / EU
  • ESMFold — Open Source · HQ: Menlo Park, United States · GDPR / EU
  • Owkin — Paid · HQ: Paris, France · Unclear
  • Schrödinger Maestro — Paid · HQ: New York, United States · Unclear

Open tool website ↗

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A DeepMind AI system that predicts the 3D structure of proteins from their amino acid sequence with near-experimental accuracy.
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ESMFold
Meta's protein oracle: a large biological language model that predicts protein structures far faster than classical methods.
Iktos
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Owkin
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Schrödinger Maestro
Professional platform for computer-aided drug design, molecular dynamics, and materials simulation.

Frequently asked questions

How much does RoseTTAFold cost?

RoseTTAFold is an open-source tool freely accessible for academic and research purposes via the University of Washington's Robetta server. Current plans: Academic/Research: 0 (0).

Is RoseTTAFold free?

Yes. RoseTTAFold can be used without paying. Usage is subject to a queue system with limited computing resources. The software is open-source and available on GitHub for local deployment.

Does RoseTTAFold support German?

Partly. RoseTTAFold handles German content reliably, but the interface is English. The web interface is available exclusively in English; scientific content is generally understandable through context.

How does RoseTTAFold handle data privacy?

Inputs are transmitted via the Robetta web server to the Baker Lab servers at the University of Washington (USA) and processed there. There is no explicit indication that user data is used to train general models, but uploaded sequences are stored temporarily. Do not enter proprietary, patent-protected, or confidential sequence data, as the platform is designed primarily for academic exchange.

Who is behind RoseTTAFold?

RoseTTAFold is operated by University of Washington (Baker Lab / RosettaCommons), headquartered in Seattle, United States.

Where does RoseTTAFold sit in the AI Tool Pyramid?

RoseTTAFold sits on level 22 (“Biology, Chemistry & Drug Discovery”) and belongs to the Biology & Medicine category. Levels group tools by topic and are not a ranking.

Is RoseTTAFold GDPR-compliant?

RoseTTAFold processes data mainly outside the EU, usually in the United States. GDPR-compliant use is possible but requires a data processing agreement, suitable safeguards for the third-country transfer and a case-by-case review.

What are alternatives to RoseTTAFold?

Comparable tools in the same category are AlphaFold, Cradle, ESMFold, Owkin. They differ mainly in pricing model, company location and data protection level, so a direct comparison is worthwhile before deciding.