Discovery

Introduction

ViroCoreAI is Virovance’s proprietary AI engine for discovering new cancer drugs. It uses advanced machine learning and molecular modeling to design, rank, and optimize small molecules targeting cancer-driving proteins like CDK2.

How it Works

AI-Enabled Compound Discovery

Rapid identification of novel small molecules from vast chemical libraries using deep learning, molecular docking, and structure-based modeling.

Structure-Guided Design

We leverage structural biology and computational chemistry to design and prioritize molecules with strong binding affinity and drug-like properties.

Multi-Target Flexibility

Explore single or multiple oncology targets without being locked into a fixed discovery path—our tools adapt to our therapeutic vision.

ADMET & Drug-Likeness Filtering

All hits are ranked based on in silico predictions of pharmacokinetics, toxicity, solubility, and Lipinski’s Rule compliance.

Hit-to-Lead Optimization

Iterative optimization strategies guide you from promising hits to development-ready leads—tailored to your budget and timeline.

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Researcher examining cancer cells under a microscope