Features
Multimodal AI prediction of drug effects across multiple neural disorders
Target discovery for neurotherapeutics targeting neural circuits
Agnostic to therapeutic modality (small molecules, biologics, etc.)
Multi-target effect identification for complex disorders
Highly localized (circuit-level) targeting
Agnostic to genetic background of models
Predicts conserved neural manifolds linking animal to human outcomes
Integration of neural, behavioral, molecular, and clinical readouts
Longitudinal tracking for disease progression modeling
Neuroscience data factory in Manila for scalable multimodal data generation
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
