Realness
OracleScores whether a sequence looks like a natural protein rather than random or poorly formed sequence.
- oracle
- quality
- naturalness
Realness
Realness estimates whether a protein sequence looks biologically plausible.
What It Does
Realness helps flag sequences that may be random, corrupted, overly artificial, or outside the range of natural protein-like patterns.
Why It Matters
Generated sequences can look valid at the character level while still being biologically implausible. Realness gives teams a fast quality-control signal before investing in deeper analysis or synthesis.
Intended Use
Use Realness to triage generated proteins, uploaded sequences, and variant libraries. It is most helpful alongside structure prediction, solubility, annotation, and interaction analysis.
Limitations
Realness does not prove that a sequence folds, expresses, binds, or functions. Some useful designed proteins may look unusual, and some natural-like proteins may still fail experimentally.
Try Realness
Run predictions with this model through the Synthyra platform.
Related Models
Atlas Oracle Suite
OracleA set of fast protein property predictors for triaging sequence quality, function, localization, and developability.
DSM
Generative ModelGenerates and prioritizes protein sequences for design campaigns, including binder discovery.
Related Blog Posts
May 31st, 2026
Protify: Making Protein Model Evaluation Reproducible
Protify gives researchers a low-code way to compare protein language models across tasks, datasets, and training strategies.
May 31st, 2026
DSM: Protein Generation with Masked Diffusion
DSM brings masked diffusion to protein sequences, unifying representation learning and biologically grounded protein generation.