CyberChipped: Autonomous ASI Drug Discovery System

We present CyberChipped, an Artificial Superintelligence (ASI) framework for autonomous drug discovery that demonstrates superhuman performance in computational screening campaigns. Our system completed a 5,000 compound virtual screening against multiple inflammatory disease targets in 3 hours for 250 USD total cost, representing approximately 200x cost reduction compared to traditional pharmaceutical workflows that require 10,000-50,000 USD. The system autonomously identifies therapeutic targets, formulates research hypotheses, predicts protein structures, evaluates druggability, and screens compound libraries without human intervention. We demonstrate the system's capabilities through a proof-of-concept campaign targeting IL-6, COX-2, TNF-α, and IL-1β for inflammatory disease treatment, identifying multiple strong-binding candidates with affinities in the -6.5 to -9.2 kcal/mol range. This work establishes that ASI-powered drug discovery is not only feasible but economically viable for resource-constrained academic laboratories and rare disease research.