Features
Single-cell RNA-seq analysis: cluster and label cell types from .h5ad
Exome variant prioritization using ClinVar, gnomAD, evidence-based scores
ADMET and drug-likeness prediction for compounds
CRISPR screen design and analysis
Literature summarization with biomarker and therapeutic target extraction
Drug repurposing candidate ranking for rare diseases
Gene regulatory network inference from multi-omic data
Rare disease diagnostic reasoning from patient phenotype and variants
Integration of 150+ specialized tools and 100+ databases
Transparent reasoning chains for reproducibility
UMAP/t-SNE visualization generation
Wet-lab protocol recommendation and design
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
