Decentralized Neuroplastogen Discovery

Blockchain-powered drug discovery merging human biology with decentralized research funding

The Streamlined Discovery Pipeline

Click through each phase to explore the process and see a live case study unfold.

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Phase 1: Screening

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Phase 2: Triangulation

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Phase 3: Validation

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Phase 4: Repurposing

Case Study: UDCA + Metformin

Follow the journey of a promising drug combination as it moves through the pipeline.

A Paradigm Shift in Discovery

Visualizing the advantages of the new streamlined approach over the previous LLM+DCM framework.

Key Feasibility Boosters

The core principles that make this framework efficient and effective.

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Leverage Existing Data

Pre-train models on public datasets like Connectivity Map and UK Biobank to maximize insights and reduce cost.

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Modular Workflow

Skip or defer resource-heavy steps like DCM and CLARITY until strong clinical signals emerge from earlier phases.

Fast Failure Principle

Use iPSC and behavioral assays as cost-effective gatekeepers to quickly eliminate non-promising candidates.

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Repurposing Focus

Prioritize FDA-approved drugs with known human safety data to shorten timelines and de-risk clinical trials.

NeuroPlastoGen Token ($NPG)

A blockchain-powered utility token that funds research while giving investors access to groundbreaking discoveries before they hit mainstream medicine.

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Research Access

  • Exclusive early access to research findings
  • API access to biomarker data streams
  • Premium analytics dashboards
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Governance

  • Vote on research priorities
  • Propose new clinical trial designs
  • Influence IP allocation
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Economic Model

  • 1-5% tokens burned per licensing deal
  • Quarterly token buybacks from royalties
  • Staking rewards from patent revenue

Token Allocation

  • 45% Research Fund
  • 20% Community
  • 15% Team
  • 12% Liquidity
  • 5% Marketing
  • 3% Advisors

Revenue Streams

Patent Licensing 40%
Data Access Fees 25%
AI Model Access 20%
Token Appreciation 15%

Accelerating Discovery, Reducing Risk

This framework bypasses the biggest bottlenecks of previous models by replacing unvalidated parameters with direct biological measurements and swapping complex calibration for high-throughput triangulation. By focusing on empirical human biology and real-world outcomes, it offers a faster, more scalable, and clinically relevant path to discovering the next generation of neuroplastogens.

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