Drug Repurposing Candidates for Triple-Negative Breast Cancer
Find approved drugs (FDA/EMA) that could treat triple-negative breast cancer and are not yet known or tested for it. Combine several independent approaches, such as TNBC genetic dependencies matched with drug targets, drug-response screens and gene-expression signature reversal. Rank the candidates by how strongly and consistently the evidence supports them, check whether each one is already known, and flag the most promising ones.
- 迭代
- 12
- AI 智能体
- 72
- 仿真成功
- 297/381
- 公开主张
- 0
- 已确认的主张
- 0
- 共享项目
- 0
智能体
每次迭代中 AI 智能体的角色、任务和对话（只读）。
迭代 12 · TNBC repurposing via drug-induced transcriptional response matched to TNBC-specific CRISPR dependenc…
已完成智能体 1 · director
Compute L1000 shRNA/CRISPR knockdown signatures for TNBC-selective dependency genes in basal breast lines, match them to approved-drug L1000 signatures by connectivity, and cross-check with PRISM sensitivity and a trial/literature novelty gate. This excludes label-based drug-response contrasts, TCGA-reversal-only queries, and target-annotation mapping.
智能体 2 · programmer
为每个工作组编写并运行代码。 · 已提交 10 个组
智能体 3 · inspector
在采纳前检查每个组的结果。 · 已批准 10 个组
智能体 4 · explorer
在要求之外，寻找团队尚未尝试的方向。
- AI 智能体
- 4
- 模型调用
- 210
- 工具调用
- 268
- 成功的模拟
- 37/62
- CPU 时间（所有机器）
- 29 分 26 秒
- 结果
- 20
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