Applications / AI Protein Design
Measured kinetic data
for AI-designed proteins.
Move from designed sequences to comparable experimental data through one expression, purification and SPRi workflow.
- 10–14 days
- Sequence to report
- KD · kon · koff
- Affinity and kinetics
- 3 × 8
- Replicates × concentrations
THE DATA GAP
Design models need
measured biological evidence.
Sequence and structural predictions do not capture the full binding response. Consistent kinetic measurements show whether a design binds, how quickly it associates and how long the interaction persists.
- 01Train
Add measured affinity and rate constants to model-development datasets.
- 02Rank
Compare designed variants within the same experimental framework.
- 03Validate
Confirm binding behavior before advancing selected constructs.
- 04Iterate
Return experimental results to the next design cycle.
DESIGN–MEASURE LOOP
From sequence library
to kinetic dataset.
- 01Submit sequences
Provide designed protein sequences, target information and validation goals.
- 02Express and purify
Plexera produces ligand proteins and completes purification and QC.
- 03Measure by SPRi
Run the defined interaction matrix across replicates and concentration series.
- 04Return the data
Receive sensorgrams, fitted kinetics and a structured report.
DATA FOR MODELING AND DECISIONS
A dataset built
for comparison.
Use one consistent assay framework to connect sequence changes with measured binding behavior.
- Concentration-resolved sensorgrams
- KD, kon and koff
- Replicate and fitting information
- Ranked design performance
- Structured experimental context