NANOVIA
Targeted nanomedicine platform

01 / Platform

The nanoparticle carries the drug.
The antibody guides it.

Nanovia’s nano-immunoconjugates (NICs) combine a drug-loaded albumin nanoparticle with a noncovalent coating of targeting antibodies. This changes how the targeting antibody and therapeutic payload are brought together.1,2

Conventional ADC

Antibody Chemical linker Drug

Drug linked to an antibody

Cell-directed targeting

A targeting antibody carries chemically linked drug molecules. In the conventional model shown in the comparison slide, the antibody binds a cancer-cell antigen and the conjugate is internalized for payload release.1

Nanovia NIC

Antibody coating Albumin carrier Drug

Antibody-coated drug carrier

Tumor-microenvironment targeting

An albumin nanoparticle carries the drug, with antibodies associated noncovalently on its surface. The AB160 prototype uses anti-VEGF targeting to guide delivery toward the tumor microenvironment.1,2

Simplified schematics, not to scale. The comparison describes delivery designs, not a head-to-head efficacy or safety study. ADC properties and NIC formulations vary.

Design differences

Same targeting principle. Different architecture.

Key distinctions from the supplied ADC–NIC comparison, with formulation-specific context.6

Conventional ADC model compared with the Nanovia NIC design. The comparison is architectural, not a clinical ranking.
Design featureConventional ADC modelNanovia NIC design
Antibody bindingOne targeting antibodyThe slide emphasizes high affinity and two antigen-binding arms (Fab).Multiple surface antibodiesMultivalent binding, with high- or low-affinity antibody designs described in the slide.
Antigen engagementSingle cell-surface antigenTargets a single cell-surface antigen at high density.Multiple cell-surface antigensCan engage multiple cell-surface antigens at high or low density.
Payload capacityLinker-attached payloadA limited number of highly potent drug molecules per antibody; loading varies by product.Drug-loaded albumin carrierThe slide describes capacity for thousands of payload molecules within the nanoparticle architecture.
Cellular processingInternalization-led deliveryIn the conventional model, uptake and lysosomal processing enable intracellular payload release.Proposed low-pH releasePayload is released in the low-pH tumor microenvironment; no intracellular uptake of the intact NIC is required.6
AssemblyChemical conjugationLinker chemistry joins the antibody and payload.Noncovalent coatingAntibodies associate with the albumin nanoparticle, supporting a modular assembly strategy.2

Higher loading and multivalent binding are architectural features—not measures of clinical benefit. Antigen requirements, release behavior, and bystander effects depend on the individual product or formulation.

Next-generation concepts

More than one payload.
More than one target.

The slide extends the modular concept to combinations of drugs and targeting antibodies.6

Dual payloads

Combinations such as paclitaxel and a platinum agent are being investigated for complementary activity.

Multiple antibody targets

Designs incorporating more than one targeting antibody are being explored.

Development stage and supporting evidence vary by formulation. These concepts are not all clinically evaluated.

The antibody determines the targeting strategy. AB160 targets extracellular VEGF in the tumor microenvironment; AR160 illustrates cell-bound targeting through CD20 on B cells. NICs are not limited to one type of target.1,3

Explore the evidence
Mechanism & comparison notes

Affinity, valency, and loading

Affinity describes the strength of a binding interaction. Valency describes the number of binding sites. The slide contrasts a conventional antibody’s two Fab arms with many antibodies on one particle. Drug-to-antibody ratio (DAR) and the number of drug molecules in a nanoparticle are different measures; no universal numerical range is assigned here.6

Bystander activity

The slide proposes greater local bystander activity for NICs. That is a design concept, not a demonstrated class-wide advantage over ADCs. Some ADCs also exhibit bystander effects, and their loading and antigen requirements differ by product.6,7

Release behavior

The slide describes dissolution in an acidic tumor microenvironment. Separately, the published 2025 PD-L1 nanoparticle study reported stability at tested pH values of 5, 7, and 9, with dissociation into albumin–drug–antibody complexes and no detectable free chemotherapy drug under the reported conditions. The slide’s proposed low-pH mechanism is therefore not presented as a demonstrated feature of every NIC.5,6

Payload potency is not clinical safety

The slide uses “highly toxic” and “low toxic” to describe payloads. Those descriptions do not establish a lower rate of adverse events in patients. Clinical safety and efficacy require formulation-specific evidence.

Scientific basis

The comparison is adapted from the supplied platform materials. Published prototype studies provide the mechanistic context; investigational design concepts are not comparative clinical claims.

  1. Kalogera et al. Clinical Cancer Research (2024). AB160 architecture, mechanism, and phase I clinical study. DOI: 10.1158/1078-0432.CCR-23-3196.
  2. Butterfield et al. Scientific Reports (2017). Albumin–antibody binding interactions. DOI: 10.1038/s41598-017-15251-6.
  3. Nevala et al. Scientific Reports (2017). Rituximab-coated nanoparticles targeting CD20. DOI: 10.1038/srep45682.
  4. Markovic SN. Antibody-drug nano-immuno conjugates (ADNIC): brief overview. AIT group presentation, August 2026, slides 3–6, 10–13 and 27. Platform-development presentation, not a peer-reviewed clinical comparison.
  5. Nevala et al. International Journal of Molecular Sciences (2025). PD-L1-targeted nanoparticles with paclitaxel or SN-38 in preclinical TNBC models; formulation stability and dissociation studies. DOI: 10.3390/ijms26073295.
  6. Team-supplied ADC–NIC comparison slide: Targeting a single cell / Targeting the tumor microenvironment. Source for affinity, valency, antigen-density, payload-capacity, assembly, and next-generation design concepts. This is a platform comparison, not a head-to-head clinical study.
  7. Additional ADC context: ENHERTU official healthcare-professional mechanism-of-action information (opens in a new tab). Product-specific loading and preclinical bystander activity illustrate why the slide’s conventional ADC model is not universal.