Lane A · Cell & mRNA
Sinewgrid Cell programs cells with sequence and formulation models.
Sinewgrid Cell is a foundation model family for cell therapy and mRNA medicines. It learns from single-cell measurements, perturbation screens and sequence libraries, then proposes candidates for the wet lab to test. Each result returns to training.
- Cell statePredict how a cell population responds to a signal, a dose or a genetic change.
- mRNA designPropose sequences and rank them for expression and stability before synthesis.
- DeliveryScore lipid nanoparticle formulations for uptake in a chosen cell type.
- ManufacturingModel expansion and activation conditions in cell therapy processes.
Design space the model searches
Cap and 5′ UTRSets translation initiation. The model scores structure near the start codon and upstream elements.
Coding sequenceCodon choice, GC content and local secondary structure trade off against one another.
3′ UTRControls stability and regulation, including microRNA binding sites.
Poly(A) tailTail length and composition affect how long the message lasts in the cell.
| Program | What the model predicts | Validation | Stage |
|---|---|---|---|
| Cell-state transitions | Which signals move a stem cell toward a target cell type. | Perturbation screens in partner labs | Planned [date] |
| mRNA sequence design | Expression and half-life of a candidate sequence. | In vitro expression assays | Planned [date] |
| LNP formulation | Uptake of a lipid mix in a target cell type. | Delivery assays | Planned [date] |
| Cell therapy process | Yield and quality under expansion and activation conditions. | Bench-scale runs | Planned [date] |
Planning a training run?
Tell us the model, the data and the schedule. We reply with a capacity plan and the evidence behind it.
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