Traditional approach
Build everything,
test afterwards.
Loading efficiency can only be measured after full synthesis and production.
THE NNP TRINITY
SHIFTBIO's integrated engine transforms cell-derived nanoparticles into a programmable, pharma-grade delivery platform, NNP.
PROGRAM
We uncovered how proteins are selectively enriched in extracellular vesicles and identified a key sorting motif. NSM is our proprietary transmembrane domains that interact with all three major tetraspanins to drive efficient EV sorting.
A universal engineering scaffold that loads hundreds to thousands of therapeutic cargoes per NNP, with plug-and-play targeting for any organ.
High-Density Loading
Engineered to load hundreds to thousands of therapeutic cargoes per NNP
Multi-Cargo Versatility
Unparalleled compatibility with both proteins and nucleic acids (ASO, siRNA, mRNA)
Plug-and-Play Modularity
Customizing targeting moieties for diverse organ specificity
NSM-Cargo
Variants
Structure
Modeling
Interface
Descriptors
ML Model
Prediction
PREDICT
Predict before you build.
Months, not years.
NSM operates through protein-protein interactions with tetraspanins. This means we can computationally model each Cargo-NSM construct, analyze its tetraspanin interface, and predict engineering success before a single experiment is run.
Standardized biodata across every construct powers a machine learning model that turns structural descriptors into actionable design decisions, dramatically reducing development risk and timeline.
PRODUCE
Successfully industrialized.
At commercial scale.
Cell-derived nanoparticles have long promised biological advantage but resisted industrialization. SHIFTBIO solved this with a scalable manufacturing process that delivers GMP-grade NNPs with 100× yield improvement, >95% purity, and batch-to-batch consistency.
Cell
Bank
3D
Bioreactor
DSP
Purification
NNP
Product
Scaled for Commercial Production
SHIFTBIO has successfully industrialized NNP
3D
Bioreactor Ready
>95%
High Purity
100×
Yield Gain
Nat. Comm.
Published 2025
AI-DRIVEN ITERATIVE DESIGN
A closed-loop cycle where AI predictions are experimentally validated and results refine next-generation designs.
01NNP Design
NSM scaffold + Cargo loading + Targeting moiety
02NNP Design AI™
In silico prediction before wet-lab
03Scalable Manufacturing
Scale-up + High Purity + Consistency
NNP TRINITY · PROGRAM · PREDICT · PRODUCE
Three linked steps: design the particle, rank candidates in silico and manufacture at scale.
PROGRAM / NSM SCAFFOLD
NSM (NNP Sorting Motif) is our engineering scaffold. It places targeting moieties on the outer surface and therapeutic cargo in the inner cavity.
Outer surfaceTargeting moiety
NSM (NNP Sorting Motif)Engineering scaffold
CD81
CD9
CD63
Inner cavityTherapeutic cargo
NSM engages CD9, CD81 and CD63.
Targeting outside, cargo inside.
Diverse payloads, many copies per particle.
PAYLOAD FLEXIBILITY
Surface display and internal loading during biogenesis. Post-isolation loading after purification.
ProteinPeptide
Macromolecules
siRNA / ASOPREDICT / NNP DESIGN AI
Cargo loading varies wildly. We rank every design in silico to build only the top-ranked candidates.
Traditional approach
Loading efficiency can only be measured after full synthesis and production.
NNP Design AI
Analyzes NSM contacts and cargo sequences. Continuously improves through real-world assay data.
NNP Design AI approach
Build these first
AI scores prioritize high-potential candidates. Wet-lab validation confirms performance.
PRODUCE / NNP MANUFACTURING
Cell-derived nanoparticles have struggled with scale and batch consistency. Our process is built for both.
Upstream 3D bioreactor
013D bioreactor
Downstream Defined purification sequence
02Harvest
03Clarification
04Concentration
05Chromatography
06Buffer exchange
07Sterile filtration