Validation

Live-cell imaging and cellular models close the design-make-test loop inside Peptone's BSL2 laboratory.

A gloved scientist loading multiwell plates into an Incucyte live-cell analysis instrument in a bright laboratory.

Same binder. Differentiated biology.

To demonstrate biological validation, we follow PEP-2183, one of hundreds of molecules tested in Peptone's AR-NTD program. We compare AR-positive, androgen-dependent LNCaP prostate cancer cells in control and treatment conditions with AR-negative PC-3 prostate cancer cells to test whether the response follows the intended AR context.

Observed AR-context response

Matched study window Baseline to day 7

Day 7

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5
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  8. 7

LNCaP + DMSO

AR-positive control

LNCaP + PEP-2183

AR-positive treatment

PC-3 + PEP-2183

AR-negative specificity control

Study conclusion

A selective cellular response.

PEP-2183 slows LNCaP growth, while AR-negative PC-3 cells keep growing.

Day 7 becomes a decision

Automated cellular validation path

The Day 7 cellular models resolve an AR-dependent response, then automated analysis evaluates inhibition, potency, and selectivity before returning the evidence to molecular design.

LNCaP + PEP-2183

AR-positive

Inhibited

Growth slows under treatment.

PC-3 + PEP-2183

AR-negative

No observed effect

Growth continues under treatment.

Study signal

AR-dependent response
  1. 01

    Inhibition

    Does growth stop?

  2. 02

    Potency

    At what dose?

  3. 03

    Selectivity

    Only in the intended context?

Measurement, modeling, design, and validation in one Product Engine Peptone's Product Engine circulates measurement, modeling, design, and validation around one shared evidence layer. Measurement reads a disordered protein in solution, modeling resolves rare states, design proposes binders against those pockets, and validation tests every prediction at the bench.
Measurement, modeling, design, and validation in one Product Engine Peptone's Product Engine circulates measurement, modeling, design, and validation around one shared evidence layer. Measurement Read in solution Modeling Resolve rare states Design Design against the pocket Validation Tested at the bench Open Measurement technology Open Modeling technology Open Design technology Open Validation technology

Evidence guides the next design.

Response, dose, and cellular context define its constraints.

Next: Pipeline