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.
- Itérations
- 12
- agents IA
- 72
- Simulations réussies
- 297/381
- Affirmations publiques
- 0
- Affirmations confirmées
- 0
- Éléments partagés
- 0
Agents
À chaque itération, les rôles des agents IA, leurs tâches et leur conversation (lecture seule).
Itération 11 · TNBC repurposing: TCGA basal-tumor transcriptional-state reversal by L1000 drug perturbations, valid…
TerminéAgent 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.
Agent 2 · programmer
A écrit et exécuté le code de chaque groupe de travail. · 4 groupes remis
Agent 3 · inspector
A vérifié les résultats de chaque groupe avant de les valider. · 4 groupes approuvés
Agent 4 · explorer
A cherché des pistes que l'équipe n'avait pas essayées, au-delà de la demande.
Agent 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)
- Agents IA
- 5
- Appels au modèle
- 111
- Appels d’outils
- 161
- Simulations réussies
- 96/115
- Temps CPU (toutes les machines)
- 51 min 1 s
- Résultats
- 13
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