AI-Assisted Discovery and Optimization of Small Molecule TREM2 Agonists with Functional Microglial Activity

人工智能辅助发现和优化具有功能性小胶质细胞活性的小分子TREM2激动剂

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Abstract

Triggering receptor expressed on myeloid cells 2 (TREM2) is a microglia-specific receptor whose loss-of-function variants increase Alzheimer's disease (AD) risk by impairing plaque compaction, survival, and protective microglial programming. While antibody-based agonists have shown promise, their translation is hindered by poor brain penetration and high cost. Here, we report the discovery and optimization of small molecule TREM2 agonists through an AI-assisted virtual screening strategy. Deep Docking of over five million purchasable compounds identified a structurally novel hit, T2K-014 , which engaged TREM2 with modest affinity. A SAR-by-catalog campaign led to the identification of T2M-010 as a potent binder. T2M-010 demonstrated favorable in vitro PK properties, including high solubility, passive BBB permeability, moderate metabolic stability, and minimal safety liabilities. Functionally, T2M-010 activated receptor-proximal signaling, inducing SYK phosphorylation in TREM2-expressing cells, and promoted microglial phagocytosis. Together, these findings establish T2M-010 as the most potent small molecule TREM2 binder reported to date capable of driving protective microglial responses relevant to AD.

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