The Agentic Omics Vision: LLMs Meet Domain-Specific AI
Introduction: The Convergence Point In Post 13, we defined agentic AI as systems that autonomously plan, reason, use tools, and execute multi-step scientific workflows. Now we arrive at the central thesis of this entire series: Agentic Omics — the convergence of large language model (LLM) reasoning with domain-specific biological AI models like AlphaFold, ESM, scGPT, and DNABERT to create autonomous systems capable of end-to-end biological discovery. This is not science fiction. As of early 2026, agentic systems are being deployed in operational drug discovery settings at companies like AstraZeneca, with documented implementations compressing workflows that once took months into hours while maintaining scientific traceability (Seal et al., 2025). The question is no longer if this convergence will transform biology, but how — and what architecture will get us there most reliably. ...