Every experiment
retrains the model.
A generative diffusion model produces binder candidates. A proprietary functional display platform validates them against live cells. Validated hits advance to modular PK scaffolds and in vivo PK/PD studies. Every data point — cell, conjugate, animal — feeds back into the next design cycle.
The Feedback Problem
Generative models produce candidates faster than any lab can test them. The bottleneck is validation throughput and the absence of a structured feedback signal. Fabricagen is the feedback signal.
Cell-level binding data
Per-candidate functional labels from the Cells-on-Array platform. Binding signal per sequence, per receptor, at scale. Not a bulk selection — individual functional measurements.
Conjugate characterization
Validated hits are conjugated to modular PK scaffolds. Conjugate yield, homogeneity, and stability data inform which sequence features translate to well-behaved drug candidates.
In vivo PK/PD profiles
Conjugates enter rodent PK/PD studies. Exposure, half-life, and pharmacodynamic response data close the loop — the model learns what drives in vivo performance, not just cell binding.
All three data streams retrain the generative model. The platform accumulates target-specific knowledge with every campaign.
Platform
Six components. One loop.
Generative Design
A proprietary generative stack designs binder candidates conditioned on antigen and proprietary developability levers. New sequences are produced end-to-end in a single forward pass — not a ranking of known ones.
Cells-on-Array
Proprietary functional display platform. Each candidate gets an independent functional binding label against live receptor-expressing cells. Per-sequence measurements, not population averages.
In Silico Pre-screen
Generative outputs are ranked by an internal scoring layer before any physical experiment. Assay capacity is spent on the most promising sequences.
Developability by Construction
Multi-axis biophysical constraints — charge, pI, cysteine count, germline identity, CDR3 length, chemical liability sites — embedded in the generative prior. Developable candidates are sampled from the model, not selected from it.
Modular PK Scaffold Conjugation
Peptide hits are conjugated to modular PK scaffolds using site-specific chemistry. Pharmacokinetics are tuned independently of the binding domain. Antibody-format hits route directly to in vivo studies.
In Vivo PK/PD & Loop Closure
Peptide-scaffold conjugates and antibody-format hits enter rodent PK/PD studies. Exposure, half-life, and pharmacodynamic endpoints feed back into model retraining alongside cell assay data.
Contact
Fabricagen is building infrastructure for closed-loop drug discovery.
If you are a scientist, investor, or potential research partner, we would like to hear from you.
Get in Touch