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The Digital Pharmacist

 

📘 The Digital Pharmacist

From Genetic Codes to Market-Ready Medicines using AI and Bioinformatics.

Part I: Foundations & The Repurposing Revolution

  • Chapter 1: The Biological Lock and Key (Proteins, Ligands, and basic cell signaling).

  • Chapter 2: The $2 Billion Problem (Why traditional R&D is failing and how repurposing saves 10+ years).

  • Chapter 3: From Serendipity to Strategy (The history of repurposing: from Viagra to COVID-19).

Part II: The AI-Powered Laboratory (The Technical Core)

  • Chapter 4: The Virtual Screening Workflow (Step-by-step with DrugRep).

  • Chapter 5: AlphaFold 3 and the "Dark Proteome" (Predicting structures for proteins that have never been seen).

  • Chapter 6: Deep Learning Docking (Moving beyond physics with DiffDock and ArtiDock).

  • Chapter 7: Generative Chemistry (Using AI to "write" new chemical variations of existing drugs).

  • Chapter 8: The Cheat Sheet (Traditional vs. AI-First workflows: Pros and Cons).

Part III: Safety, Success, and the Patient (The Filter)

  • Chapter 9: ADMET-AI: The Toxicity Shield (Predicting liver, heart, and brain safety in seconds).

  • Chapter 10: Personalized Repurposing (Using Multi-omics—Genomics + Proteomics—to find a drug for one specific person).

  • Chapter 11: Real-World Evidence (RWE) (Using AI to scan millions of hospital records to see what drugs are already working off-label).

Part IV: Ethics, Regulation, and Business (The Market)

  • Chapter 12: The Ethics of the "Black Box" (Addressing bias in AI data and the transparency of medical decisions).

  • Chapter 13: 2026 Regulatory Landscape (Navigating the new FDA & EMA Guiding Principles for AI in drug development).

  • Chapter 14: The Y Combinator Blueprint (How startups like PostEra and Recursion pitch and build the future).

  • Chapter 15: The Autonomous Lab (The rise of "Cloud Labs" where AI directs robots to mix the chemicals).

Visualizing the 2026 Regulatory Barrier

In Chapter 13, you would use a diagram like this to explain the "new" requirements for any AI-discovered drug:


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