Pipeline

Reverse translation

Employing Reverse Translational Research in Target Discovery

Applying AI technology to design Best-in-Class drug candidates

01.

Reverse translation

Human organs and immune cells with notes on inflammation, immune disease, and clinical data evaluation.

02.

Multi-Omics Analysis

Integrating molecular and omics datasets with AI tools for target prioritization and biomarker discovery.

03.

Target Rationale

In-depth analysis of genetics, pharmacology and in vivo phenotype validation to support candidate selection.

04.

Target Identification

AI-driven ranking of relevant targets with molecular prioritization for downstream lead generation.

— Step 5/5

AI-Driving Drug Discovery

A circular DMTA cycle (Design, Make, Test, Analyze) leading to new chemical structures, highlighting AI tools and CADD to generate new chemical entities (NCEs).

DMTA speeds discovery and reduces trial-and-error.
AI and CADD boost precision and cut costs.

Artificial intelligence at Vernus AI means building advanced systems that go beyond automation, enabling machines to learn, reason, and accelerate breakthroughs in pharmaceutical innovation.

INQUIRY

Pipeline

From research input → quantum–AI optimization → automated decisions.

Faster insights, smarter experiments.

Program	Therapeutic area	Discovery
VB001	Immunology	Progress
VB002	Immunology	Progress
VB002	Immunology	Progress
VB002	Immunology	Progress