Solution / Stability & solubility

    Which stability failure is holding the program?

    A protein can look sound in discovery and then lose activity at process temperature, aggregate at concentration, or miss the expression target. We define the failure, target condition, and decision assay, then design a ranked panel around what your lab can measure.

    Discuss a stability pilotInspect the register
    The observable, stressor, assay, and properties to preserve determine what the campaign optimizes—and what the lab measures next.

    “Stability” is nine different failure modes

    Thermal stability, aggregation, expression, chemical liability, and process tolerance do not share one measurement—or one design strategy. Select a failure mode to see what should drive the campaign.

    Fold & structure

    Formulation & storage

    Production & development

    Selected failure mode

    Thermal

    “Tm is only 60 °C and our process runs at 70 °C.”
    Decision measure
    Tm by DSF or DSC; ΔΔG_fold per mutation
    Why it changes the campaign
    Rank changes against the target process temperature, then confirm that added fold stability does not trade away activity.

    Define the test before we design.

    A focused pilot starts with one named failure, the condition that creates it, and the assay that will decide whether a variant is better.

    Scope from your team

    Evidence and constraints

    1. Protein contextSequence plus structure or a high-confidence model
    2. Failure conditionThe named stressor and the target window that counts as better
    3. Decision assayThe measurement that will decide whether the campaign worked
    4. Test capacityA 24-, 48-, or 96-variant panel your lab can run
    5. Properties to preserveActivity, binding, host compatibility, or another program constraint
    Engineer-led campaignScope → design → reviewFailure × condition × assay
    Handoff to your lab

    Lab-ready recommendations

    1. Ranked panelCandidates sized to your plate and ordered against the failure in scope
    2. Design rationaleMechanistic reasoning and explicit trade-off flags for every candidate
    3. Validation planMeasurements keyed to your decision assay and target condition
    4. Next-round recommendationA clear design direction once the wet-lab data lands
    One decision assay keeps the campaign scope, candidate ranking, and wet-lab handoff aligned.

    Expert design. Your lab. One learning loop.

    You work directly with expert protein engineers—not a platform your team has to operate. We deliver the designs, rationale, and validation plan; your assays create the evidence for what comes next.

    1. CraneDesigns with rationale

      Expert protein engineers deliver a focused set of ranked designs and explain why each one made the cut.

    2. Your labTests in context

      Your team validates the candidates in its specific assays and under the target conditions that matter.

    3. Next roundLearns from results

      The experimental data sharpens the next recommendation instead of resetting the design process.

    Bring the failure mode, assay, and target condition.

    We’ll help decide whether a focused stability, solubility, expression, or developability pilot is the right next experiment.

    Scope a stability pilot