Scientist conducting antibody research in laboratory

Scientific Approach

Science That Starts at the Scaffold

Our scientific strategy begins at the antibody framework level, where upstream design choices can shape immune-related development risk before those issues compound in later-stage optimization.

The Problem

The Problem We Set Out to Address

Immunogenicity remains one of the least predictable and most consequential risks in antibody therapeutic development. Anti-drug antibody responses can neutralize efficacy, cause adverse events, and lead to treatment discontinuation. Yet most development programs address this risk reactively — after a lead molecule has already been selected.

Clinical translation and patient care

Scaffold Science

Why the Scaffold Matters

The antibody framework — the structural backbone that supports antigen binding — is often treated as a fixed element inherited from the germline. But framework regions can contain predicted T-cell epitopes that contribute to immunogenicity liability, regardless of which target the antibody is designed to bind.

Framework-Level Liabilities

Predicted T-cell epitopes embedded in common germline frameworks can present risk across programs built on that scaffold, creating a systemic vulnerability that is typically inherited rather than addressed.

Upstream Design Opportunity

By addressing these liabilities at the scaffold level rather than per-molecule, the design choice is intended to propagate benefit across downstream applications — potentially reducing repeated cost and risk.

Our Thesis

A Scaffold-First Strategy

VestraNova's scientific thesis is that immunogenicity risk may be more effectively managed by re-engineering the antibody scaffold itself — before CDR grafting, before payload conjugation, and before clinical optimization.

01

Identify Liabilities

Computational analysis identifies predicted MHC-II binding epitopes within the framework regions of the starting scaffold.

02

Engineer the Foundation

Targeted modifications are designed to reduce these predicted liabilities while maintaining structural integrity and binding function.

03

Validate Computationally

Constructs undergo in silico assessment for immunogenicity profile, structural stability, and manufacturability before advancing.

Clinical evaluation context

Evaluation

How We Assess the Platform

The platform is assessed through computational immunogenicity prediction, structural modeling, stability analysis, and cross-validation across multiple HLA alleles representing broad population coverage. Each construct is evaluated not only for its individual profile, but for how it performs as a reusable foundation across diverse targets and modalities.

Diligence Boundary

Public Science, Protected Implementation

VestraNova maintains a clear boundary between publicly available strategic science and confidential implementation detail. The information presented here is designed to support informed evaluation while protecting the enabling innovations that underpin the platform. Detailed technical materials are shared selectively in the appropriate diligence setting.

Explore the Science Further

Additional scientific detail is available under confidentiality for qualified investors, partners, and collaborators.