Synthyra

Atlas Oracle Suite

Oracle

A set of fast protein property predictors for triaging sequence quality, function, localization, and developability.

  • property prediction
  • interpretability

Atlas Oracle Suite

The Atlas Oracle Suite gives researchers fast, sequence-based estimates for protein properties that often matter before an experiment is run.

What It Does

The suite includes readouts for solubility, expression, localization, taxonomy, enzyme function, homodimerization, naturalness, pH preference, turnover, and thermal behavior.

Each readout is meant to add context. A promising binder that looks poorly soluble, for example, may need redesign before synthesis.

Why It Matters

Protein workflows rarely depend on one property. A candidate can bind its target and still fail because it does not express, aggregates, localizes incorrectly, or carries the wrong functional signature.

The Oracle Suite gives teams a fast first pass across those questions so design and validation decisions can be made with more context.

Intended Use

Use the Oracle Suite to screen designed or natural proteins before synthesis, compare variants across multiple developability signals, add property context to Atlas results, and prioritize candidates for wet-lab validation.

Limitations

Oracle predictions are sequence-based estimates. They do not replace assays, expression tests, localization experiments, kinetic measurements, or stability measurements. Cellular environment, construct design, tags, purification conditions, and assay format can all change the observed result.

Try Atlas Oracle Suite

Run predictions with this model through the Synthyra platform.

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Solubility

Oracle

Prioritizes protein sequences that are more likely to remain soluble.

Subcellular Localization

Oracle

Predicts likely cellular localization signals from protein sequence.

Temperature Stability

Oracle

Estimates whether a protein sequence is likely to tolerate higher-temperature conditions.

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Synthyra

Optimize the outcome, not the interface.

Biological design programs selected on the predicted state of the system, not the quality of one contact.

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