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 11 · TNBC repurposing: TCGA basal-tumor transcriptional-state reversal by L1000 drug perturbations, valid…
已完成智能体 1 · director
Resample TCGA-BRCA basal-vs-luminal differential-expression signatures, query L1000CDS2 for reversers, score approved drugs by reversal stability, then test them rank-wise in held-out PRISM/GDSC breast lines. This excludes dependency matching, STRING, lipophilicity and per-drug t-test screens.
智能体 2 · programmer
为每个工作组编写并运行代码。 · 已提交 4 个组
智能体 3 · inspector
在采纳前检查每个组的结果。 · 已批准 4 个组
智能体 4 · explorer
在要求之外，寻找团队尚未尝试的方向。
智能体 5 · reviewer
Independent review of claim f7e2f976-7995-4629-ae27-12c155ed1d94: TNBC L1000CDS2 reversal with 300 bootstrap TCGA signatures: controls reverse as often as real signatures (exploratory)
- AI 智能体
- 5
- 模型调用
- 111
- 工具调用
- 161
- 成功的模拟
- 96/115
- CPU 时间（所有机器）
- 51 分 1 秒
- 结果
- 13
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