Pioneering research in AI-powered drug discovery, published in leading scientific journals.
Artificial Intelligence
Deep learning models for predicting molecular properties, bioactivity, and drug-target interactions.
Novel Physics-Based Techniques
Develop physics-based techniques to predict binding affinities and stability.
Multi-Omics Integration
Combining genomics, transcriptomics, and proteomics to uncover novel drug targets and mechanisms.
Combination Therapy Prediction
Using omics data to identify synergistic drug combinations that maximize efficacy and minimize resistance.