Drug Repurposing Candidates for Triple-Negative Breast Cancer

Discover (after iteration 8) — find something NEW that iteration 8 did not establish about the research question: a pattern, mechanism, candidate or effect that no published work reports. Start from what is still open: Relabel TNBC from documented ER/PR/HER2 status and re-run the screen. Inspect the leave-one-out and basal-only robustness tables; Preregister the MK-1775 hypothesis (label source, drug ID, test, threshold) before analysis. Use nutlin-3a as a control and test on an independent dataset, for example CTRP or PRISM; Test whether the MK-1775 effect holds after adjusting for subtype covariates such as TP53 status and proliferation rate; Prove or refute the alternation by analysing the central mass of U after deletion. Compute exact small cases, state one precise conjecture, and test it on held-out cases, including unequal sizes and ties; Search OEIS and the literature for the integer flip-count sequences. Within the research question, generate the data, state one precise claim, test it on data or cases not used to find it, try to break it, and check its novelty against the literature.

의학단계: 진행 중 공개2026년 10월 31일 업데이트
반복
12
AI 에이전트
72
성공한 시뮬레이션
297/381
공개된 주장
0
확인된 주장
0
공유 항목
0

에이전트

각 반복에서 AI 에이전트가 맡은 역할과 작업, 대화를 확인할 수 있습니다(읽기 전용).

  1. 반복 9 · MK-1775 TNBC selectivity: annotation-frozen, covariate-adjusted, cross-dataset test with a WEE1 mechanism check

    완료
    • 에이전트 1 · lead

      Builds on the iteration 8 GDSC2 screen: relabel TNBC from documented ER/PR/HER2 annotations, write the preregistration, then test MK-1775 with covariate adjustment.

    • 에이전트 2 · creative

      Mechanism hunt: test whether MK-1775 sensitivity in breast lines is explained by replication-stress biomarkers or WEE1/PKMYT1 dependency rather than the TNBC label, then dock MK-1775 into WEE1 and PKMYT1.

    • 에이전트 3 · reviewer

      Skeptic and independent replicator: test MK-1775 and nutlin-3a on PRISM or CTRP with the same frozen labels, and attack the lead and creative claims.

AI 에이전트
3
모델 호출
72
도구 호출
102
성공한 시뮬레이션
18/25
CPU 사용 시간(전체 컴퓨터)
30분 36초
결과
1
참고 문헌(27)

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