AstraDTM & AstraDDG
How a Mutation Changes Stability
Stabilizing a target means finding the few mutations that help among the many that hurt. For any single-point mutation, AstraDDG predicts the change in folding free energy and AstraDTM the change in melting temperature — so the shortlist ranks itself before the bench.
Beats Structure-Based Predictors — From Sequence
On public ΔΔG benchmarks, AstraDDG ranks first among 27 predictors — outscoring methods that need a solved 3D structure, using sequence alone.
Real Structure · T4 Lysozyme (PDB 2LZM)
Every Mutation, Scored on the Fold
Two Measures of Stability
Free Energy and Melting Point
They answer different questions, and reading both is how you tell a robust change from a lucky one.
AstraDDG · ΔΔG
Thermodynamic stability
The change in folding free energy a mutation causes, in kcal/mol — how much more (or less) the folded state is favoured.
AstraDTM · ΔTm
Thermal stability
The shift in melting temperature a mutation causes, in °C — how much more heat the protein withstands before it unfolds.
On the Structure
See Where Stability Comes From
Stabilizing positions rarely scatter at random — they cluster in the regions that hold a fold together. Scoring every mutation lets those regions surface on the structure itself.
Rank What Stabilizes
The Shortlist, Sorted
Every candidate mutation scored on both axes and ranked — so the handful worth making sits at the top, and the ones that hurt stay off the bench.
Illustrative ranking. Focused on single-point mutations, where the signal is cleanest; combinatorial designs build on the same per-mutation scores.
Benchmarks
Measured Against the Public Field
AstraDDG and AstraDTM are evaluated on the open thermostability benchmarks the field reports on — held-out proteins, no training overlap.
External held-out benchmarks, zero training overlap — and sequence-only, with no experimental structure required.
Structure-based predictors need a solved or modelled 3D structure to score a mutation. AstraDDG works from sequence alone — and still ranks first — so it runs on the many targets that have no structure at all.
Across Families
And on the Hardest Membrane Targets
Beyond the single-mutation benchmarks, stability is reported per family in the open Model Performance whitepapers — including ρ 0.93 on T4 lysozyme and directional accuracy across the GPCR superfamily.
Put Astra on Your Targets
Every Astra model runs inside the Orbion platform. Bring a sequence and get the full read-out — structure, function, modifications, binding, and stability.