In a vast, unexplored virtual chemical space, Deep Apple Therapeutics moves with unprecedented speed to discover novel small molecules for high-value targets. Deep Apple combines ensemble cryo-EM to explore receptor conformations; deep learning; and the docking of multi-billion compound libraries generated using the company's proprietary Orchard.ai™ algorithm. Deep Apple's deep learning discovery engine is built upon founder expertise in computational modeling, protein and target structure determination, large-scale molecular docking, and the elucidation of protein dynamics and conformational transitions. This structure-based, machine-learning driven drug design approach enables the company to rapidly advance novel candidates addressing well-validated targets in inflammatory, metabolic, and endocrine diseases. For more information, visit deepappletx.com.