只是这个 AI 我们究竟什么时候能用上，依然是个悬而未决的问题。
研究团队将PocketXMol应用于设计caspase-9小分子抑制剂，其效力与商业化的泛caspase抑制剂相当；研究团队还使用PocketXMol生成了PD-L1结合多肽，成功率远超文库筛选，结合亲和力达纳摩尔级，可特异性结合 PD-L1 阳性细胞，配体抑制实验和体内肺肿瘤成像验证了其治疗和诊断潜力。PocketXMol在13个计算基准中的11个上取得了最先进（SOTA）表现，在其余2个中也保持了竞争力，超越了55个基线模型。
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For example, through the Isaacus Beta Program, which granted a select group of trusted design partners exclusive access to Kanon 2 Enricher, we saw a Canadian government leverage Kanon 2 Enricher to build a knowledge graph of thousands of federal and provincial laws to help accelerate regulatory analysis. Elsewhere in Europe, we saw Spinal, a startup building AI agents for accounts receivable, integrate Kanon 2 Enricher into their contract ingestion and enrichment pipeline, finding “the speed and accuracy of [Kanon 2 Enricher] to be amazing!”. Other notable applications of Kanon 2 Enricher include a new vendor due diligence tool, a government-facing policy intelligence platform, and an analysis of Canberra child care incidents from 2020 to 2025.