Predict which variants will stabilize. Before you synthesize.
Scala Biodesign's stability AI scores your full mutation space from sequence alone, so your wet-lab budget goes to the candidates that matter.
| Variant | Mutations | dG (kcal/mol) | Class |
|---|---|---|---|
| Var-A01 | 2 | -1.4 | Stable |
| Var-A02 | 3 | +0.3 | Marginal |
| Var-A03 | 4 | -2.1 | Stable |
| Var-A04 | 2 | +1.8 | Unstable |
| Var-A05 | 5 | -0.9 | Stable |
| Var-A06 | 1 | +0.7 | Marginal |
Wet-lab cycles are expensive. Most mutations fail before you learn why.
Computational pre-screening shifts the economics. Most available tools require a solved structure, a trained bioinformatician, or both. Scala works from sequence alone.
What the platform does
Sequence-only stability scoring
Submit a FASTA sequence. Receive per-position and per-variant delta-G scores without needing a crystal structure or AlphaFold prediction as input.
Combinatorial variant scanning
Score all single-point mutants, or define a combinatorial panel of up to 10,000 variants and rank them by predicted stability improvement in a single run.
Epistatic coupling analysis
Identify mutation pairs where the combined effect differs from the sum of individual effects, reducing costly surprises during multi-site engineering campaigns.
From sequence to ranked shortlist in three steps
Upload
Paste your sequence or upload a FASTA file. Define the mutation positions you want to probe or let the scanner find them automatically.
Score
Our stability model evaluates each variant, combining physics-informed energy estimation with learned sequence-fitness representations.
Shortlist
Download a ranked CSV. Filter by stability class, mutation count, or positional diversity. Bring only your top candidates to synthesis.
Early results from our pilot program
Based on internal benchmark across 47 protein families from our early-access pilot program (Q3-Q4 2025). Individual results vary by protein family and mutation space.
What our research partners say
Scala cut the list of variants we needed to synthesize by 60 percent on our first pilot run. We went into the wet lab with 8 candidates instead of 140.
The mutation landscape output gave our team a shared framework for prioritization that we did not have before. Fewer arguments, faster decisions going into synthesis.
Ready to cut your mutation screening time?
Join the early-access program and run your first protein through Scala within a week.