Candidates with evidence
Sequence and structure comparison, functional-site checks and Foldiff and ThermoMPNN predictions with explicit disagreements.
Choose your first enzyme stabilization variants. Compare structures, predictions and reported measurements, then test your hypotheses in the laboratory.
Try a worked example ↗AlphaFold DB · UniProt · FireProtDB
Computational evidence alongside experimental results.
Sequence and structure comparison, functional-site checks and Foldiff and ThermoMPNN predictions with explicit disagreements.
Select single substitutions, a WT control and replicates. Review combination and primer designs with stated limits and exports.
Enter results or import CSV, compare with WT and check activity separately. For pH, view a curve and observed maximum.
The saved example starts with 150 differences and applies structure and functional filters. Eight candidates remain for experimental selection; the predictors disagree on some variants.
Explore the example ↗When you know the protein, have a suitable structure and need a reasoned choice of variants for a first experiment. The workspace also compares homologs and plans activity measurements across pH values.
A substitution’s actual effect, retained activity and transfer to your conditions. Predicted ΔΔG cannot be converted into a guaranteed temperature or activity gain.
For a pilot, prepare the protein, goal, application conditions, construct and assay method. Start with a public entry and worked example.
Calculations, series planning and measurement analysis are available in the workspace. Experiment series stay in your browser. Download CSV and JSON; manually restore JSON on another device.
Open workspace ↗Discuss a joint pilot via @oligoplan_bot. Scope, timelines and fees are agreed separately. Confidential data require a private laboratory account.
It proposes candidates and evidence for testing. Constructs are made and tested in the laboratory; a prediction alone cannot confirm an effect.
Supported entries use existing AlphaFold DB structures. Predicting structures for other sequences is on the roadmap.
Yes, manually or through CSV. The service calculates means, spread and differences from WT. Uploaded measurements do not automatically retrain the model.