Veridica AI - AI Drug Discovery Platform for Labs, Researchers & Students

Empower your research with AI drug discovery tools: IC50 prediction, molecular generation, and compound optimization for labs, students, and pharmaceutical research.

Revolutionary AI-Powered Drug Discovery Platform

Cut pharmaceutical R&D costs from $2.23B average to millions. Reduce drug discovery timelines from 10-15 years to 2-5 years using predictive ligand potency models and generative drug design platform.

Core AI Capabilities

🎯 IC50, EC50 & Ki Prediction

Machine learning models predict binding affinity with 85%+ accuracy. Trained on 50M+ bioactivity measurements from ChEMBL, PubChem, and proprietary datasets. Supports 1000+ protein targets including kinases, GPCRs, ion channels.

🧬 Generative AI for Novel Molecules

Generate novel drug-like molecules using transformer architectures and VAE models. Optimizes for Lipinski's Rule of Five, ADMET properties, synthetic accessibility. 10,000+ novel compounds generated monthly.

🔬 Virtual Screening & Optimization

Screen libraries of 1B+ compounds in hours vs months. Multi-objective optimization for potency, selectivity, ADMET. Molecular docking, pharmacophore modeling, QSAR analysis integrated.

Research Applications & Use Cases

🏫 Academic Research

Student training in computational drug discovery
PhD research projects and thesis work
Grant-funded research collaborations
Publishing high-impact research papers

🏭 Pharmaceutical Industry

Lead optimization and hit-to-lead progression
ADMET prediction and toxicity assessment
Target identification and validation
Clinical candidate selection