CyberChipped โ ASI Drug Discovery Platform
CyberChipped is revolutionizing drug discovery by building an autonomous ASI system on the Solana Agent framework, achieving 200x cost reduction and 1000x speed improvements in pharmaceutical research.
200x
Cost Reduction
$250 vs $10K-50K traditional
1000x
Speed Improvement
3 hours vs 6 months
5,000
Compounds Screened
First public results
The Challenge
- Traditional drug discovery takes 10-15 years and costs $2.6 billion per approved drug
- Rare disease patients can't wait for decades-long research cycles
- Need for radical cost and time reduction in pharmaceutical research
- Complex multi-domain integration across proteomics, genomics, and pharmacology
The Solution
CyberChipped heavily modified the Solana Agent framework to create an autonomous ASI drug discovery system. The platform demonstrates superintelligence capabilities within biomedical research, completing comprehensive disease analysis in ~7 minutes compared to weeks or months for human researchers.
ASI Framework Capabilities
๐ฏ Autonomous Goal Setting
Identifies therapeutic targets, formulates research questions, and prioritizes investigations independently without human guidance.
๐ Multi-Domain Integration
Synthesizes insights across proteomics, genomics, pharmacology, and clinical literature in real-time.
๐ก Novel Hypothesis Generation
Creates original therapeutic hypotheses not explicitly present in training data, enabling breakthrough discoveries.
โก Superhuman Speed
Completes comprehensive disease analysis in ~7 minutes vs. weeks/months for human researchers.
Platform Components
๐งฌ Protein Database
- ESMFold predictions with quality metrics
- Druggability scoring and pocket analysis
- ASI-generated therapeutic targeting hypotheses
- Pathway and interaction data
๐ฅ Disease Research
- Diseases across 16+ categories
- ASI-generated meta-hypotheses
- Therapeutic strategy recommendations
- Confidence scoring and target prioritization
๐ Drug Discovery
- Real AI-discovered drug candidates
- IL-6, COX-2, TNF-ฮฑ, IL-1ฮฒ inhibitors
- Binding affinity predictions
- Chemical properties and drug-likeness scores
๐ค ASI Insights
- Autonomous research hypotheses
- Therapeutic approaches
- Cross-disease meta-analysis
- Novel ASI architecture for drug discovery
Technical Implementation
๐ง Framework Modifications
- Extended Solana Agent with ASI reasoning capabilities
- Novel multi-agent architecture for drug discovery
- Autonomous research planning and execution
- Domain-specific superintelligence integration
๐งช Scientific Tools
- ESMFold for protein structure prediction
- Fpocket for druggability analysis
- UniProt, PubMed, Reactome integration
- Real-time compound screening pipeline
Breakthrough Results
First Public Drug Discovery Results
CyberChipped delivered the first-ever public showcase of AI drug discovery results, screening 5,000 compounds in just 3 hours for $250 total cost.
Traditional vs. AI-Accelerated
Traditional: $10,000-50,000 over several months
AI-Accelerated: $250 in 3 hours
AI-Accelerated: $250 in 3 hours
Targeting Multiple Diseases
The platform successfully identified drug candidates targeting inflammatory diseases through IL-6, COX-2, TNF-ฮฑ, and IL-1ฮฒ pathways.
Research Focus
Multiple Myeloma, inflammatory diseases, and rare genetic disorders with strong binding candidates identified.
๐ Academic Access
FREE for all academic and non-profit research, supporting open science initiatives in drug discovery.
Required Citation: Hunt, B. (2025). CyberChipped: Autonomous ASI Drug Discovery System. Zenodo.
๐ข Commercial Licensing
Licensed for pharmaceutical companies, biotechnology firms, and clinical diagnostics applications.
Contact for Commercial License โ
Built on Solana Agent Framework
CyberChipped demonstrates the power of the open-source Solana Agent framework for building sophisticated AI systems. The extensive modifications showcase the framework's flexibility for diverse applications.
Learn More About CyberChipped
Explore the platform, read the research paper, or contact the team for partnerships and collaboration opportunities.