Features
AI-driven target identification from multi-omics data
Target ranking with predicted efficacy and safety scores
Integration with public biomedical databases (ChEMBL, DisGeNET)
Custom model training on user-uploaded datasets
Collaborative workspace for research teams
Exportable reports in PDF and CSV format
Visualization of target-disease associations
Literature mining for target validation evidence
Off-target prediction and toxicity estimation
API access for automated workflows
Computational drug design for small molecules
Target selection in drug discovery
Translational medicine integration
Clinical development capabilities
Highly selective small molecule design
SIK2 inhibitor development for immunology
Preclinical and translational data generation
Structure-based design of allosteric modulators
Lead optimization for challenging targets
Oncology indication focus
Immunology indication focus
Metabolic disease indication focus
Partnership-driven drug development
