HomeHeroesDe NovoDiscoveryGene ScanCDx Pathwayโ™ป๏ธ Repurposing๐Ÿšฆ GatesModelsQuantum๐Ÿงช Wet LabSchedules๐ŸŽ›๏ธ Control๐Ÿงฌ CIFOG๐Ÿ“ˆ Milestones๐Ÿงฌ BioBrain๐Ÿง  NPEADArchitecture๐Ÿ”ฌ RODE๐Ÿง  Cortex-RWorkspace๐Ÿง  V2๐Ÿง  V3๐Ÿ“ฆ Knowledge๐Ÿ’ฐ Revenue๐Ÿงช Tests๐Ÿ“Š Costs๐Ÿ“š Datasets

๐Ÿงช Wet Lab โ€” Signal Test Tracker

Minimum viable signal tests โ†’ GO/NO-GO โ†’ Full validation

Signal Test Pipeline

Loading...

Public IC50 Reference (ChEMBL)

๐Ÿงช Wet Lab Outcomes & Learning

Real experimental data (ChEMBL public IC50) feeding back into NPEAD scoring weights

โ€”
Total Outcomes
โ€”
Targets Validated
โ€”
NPEAD Adjustments
โ€”
Potent (โ‰ค100nM)

๐Ÿ“ก Wet-Lab Data Pipeline

ChEMBL (nightly pull)
โ†’
IC50 Classification
โ†’
NPEAD Mismatch Check
โ†’
Weight Adjustment
โ†’
Better Scoring
How it works: Every night, we pull new IC50/Ki/EC50 measurements from ChEMBL for all hero targets. If our predicted grade disagrees with the wet-lab result by >1 grade level, NPEAD fusion weights auto-adjust. Binding weight decreases when we over-score; selectivity and ADMET weights increase. The system self-corrects.

๐Ÿงฌ Outcomes by Target

Loading...

๐Ÿ“Š Recent Ingestion Feed

Loading...

๐Ÿ”ฎ What's Next

Live now: ChEMBL nightly auto-pull + manual POST /wet-lab endpoint

Coming soon: