Compare and check
Sequence alignment, structure superposition and a pLDDT confidence filter. Functional sites are excluded from the candidate list.
Choose mutations for your first enzyme stabilization experiments. Compare structures, examine risks and prepare a construct design.
Explore a protein ↗AlphaFold DB · UniProt · FireProtDB
Reproducible calculations. Testable hypotheses.
We distinguish structure geometry, stability predictions and experimental evidence. Missing data are never treated as confirmation.
Sequence alignment, structure superposition and a pLDDT confidence filter. Functional sites are excluded from the candidate list.
A linear Foldiff model performs the main selection. When configured, ThermoMPNN adds a separate prediction. Disagreements are shown explicitly.
Spatial contacts, primer designs, data exports and calculation parameters. Confirm mutation and combination effects experimentally.
Precision@20 — fraction of stabilizing substitutions among the top twenty predictions in saved splits. These metrics do not guarantee results for a new enzyme. The model does not predict temperature or activity gains or pH optimum shifts. Spatial separation does not rule out epistasis. AlphaFold structures are predictions.
FireProtDB lookup finds reported measurements; it is not independent validation of a model trained on that database. Different constructs, numbering and assay conditions require manual review.
A pilot needs a protein, experimental goal, expression system and any measured variants. The deliverable is a reasoned plan for the first experiment series.
Candidates with rationales and limits. Review of disagreements with reported measurements. A construct design using agreed DNA.
Discuss a pilot: @oligoplan_bot. Confidential data require a private laboratory account.