Integration of AI Approaches in Preclinical Academic Settings to Target a Challenging Solute Carrier (SLC) Target
- Combine patient-derived, multi-omic data with AI modeling to enable the discovery of underexplored transporter targets linked to neurological disease
- Identify new chemical probes that modulate transporter activity using structure-based virtual screening, molecular modeling, and rational design
- Share how integrative computational and experimental workflows provide a roadmap for expanding the druggable target landscape beyond enzymes and receptors