Antibody-drug conjugate molecular structure

By Design

Solving Immunogenicity at the Scaffold Level

VestraNova has developed a computational antibody platform that reduces predicted immunogenic epitope liabilities at the framework level — before CDR grafting, before payload conjugation, across multiple targets and modalities.

25Oncology Targets
7Therapeutic Modalities
20Patents Filed
Antibody scaffold platform architecture

What We're Building

A Platform, Not a Single Asset

VestraNova is building a reusable antibody scaffold platform for oncology. Instead of designing each therapeutic independently, we engineer the underlying antibody framework itself. That foundation can then be applied across multiple targets and programs. The goal is to create a shared structural backbone that supports a growing pipeline of therapies, rather than rebuilding from scratch each time.

Why This Matters

Better-Designed Medicines Start with a Better Foundation

When patients receive antibody-based therapies, their immune systems can sometimes recognize foreign elements in the drug itself. This can reduce effectiveness, cause adverse reactions, and limit how long a patient can stay on treatment. We aim to address this at the molecular level — before it becomes a clinical problem.

01

The Overlooked Risk

Most therapeutic antibodies are built on frameworks that were never systematically optimized for immune compatibility across diverse patient populations.

02

Per-Molecule Band-Aids

The industry treats immunogenicity as a per-molecule cost: point-mutate epitopes, PEGylate, or co-administer immunosuppressants. Expensive and target-specific.

03

A Platform-Level Solution

This is not a per-drug problem. It is a platform-level engineering gap. We designed a single engineered foundation intended to address this across multiple targets.

Cancer patient with caregiver

Patient Impact

What This Means for Patients

Better-engineered antibody foundations are designed to support therapies that patients may be better able to tolerate and remain on over time.

Fewer Hidden Barriers

Addressing immunogenicity risk upstream aims to reduce a category of treatment failure that often goes undetected until late-stage development.

Designed for Tolerability

A deimmunized scaffold is intended to help future therapies be better tolerated, supporting treatment continuity.

Broader Patient Coverage

Assessed across HLA alleles covering more than 85% of the global population, aiming for relevance across diverse patients.

Platform Logic

Built for Platform Leverage

One Scaffold
Multiple Targets
Shared Validation
Pipeline Expansion

VestraNova's approach starts with scaffold engineering, then extends that architecture across oncology targets. This model is designed to create a common technical foundation across programs and enable more efficient expansion of the pipeline.

Scaffold validation and immune testing

Next Milestone

Next Platform Inflection Point: Full Wet-Lab Validation

Our next milestone is full wet-lab validation of scaffold de-immunization — including PBMC-based human immune cell assays, T-cell proliferation testing, and cytokine profiling. This is not a partial read. It is a comprehensive experimental program designed to test the central platform hypothesis directly.

One experiment. Platform-wide implications.

A successful result would not apply to a single therapeutic candidate alone, but to the underlying scaffold used across the entire VestraNova platform.

Our Approach

How We Build Programs

We do not treat each antibody as a standalone design problem. We begin with a shared engineered scaffold and extend it across multiple targets and formats.

  • Create consistency across programs
  • Support a unified validation strategy
  • Enable scalable pipeline development

Pipeline

Pipeline Under Development

VestraNova is applying its scaffold architecture across a growing set of oncology-relevant targets. Programs are currently computationally profiled and prioritized for downstream development based on platform compatibility.

Evidence Standards

Evidence-First Development

Public materials are intentionally conservative. Technical datasets, structural analyses, and program-level evidence are shared selectively in diligence settings and under appropriate confidentiality protections.

Request Additional Information

A detailed overview of the platform, validation plan, and development strategy is available upon request.