design-lnp-experiments

为 LNP/核酸递送设计候选库、实验与主动学习循环。

帮你把 LNP/RNA 递送的设计—制备—测试—学习循环落地：从候选分子库、配方空间、测定方案到主动学习回合和条码体内筛选都能规划。做药物递送实验设计、做多目标优化或要做 go/no‑go 决策时用它。特点是把实验策略和主动学习、计算模型与转化评估结合起来，既能测试机制也照顾可转化性。

# Design LNP experiments

1. Define the therapeutic objective, target cell or tissue, cargo, route, disease model, constraints, and decision the experiment must enable.
2. Specify the learning objective before choosing candidates. Distinguish exploitation, exploration, mechanism testing, and model calibration.
3. Define the design space: lipid structures, component identities, molar ratios, process variables, dose, and cargo attributes. Record hard chemical, formulation, safety, and manufacturing constraints.
4. Select controls, replication, randomization, batch strategy, blinding where relevant, and predefined success thresholds.
5. Choose readouts that separate delivery, expression or edit