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 12 · TNBC repurposing via drug-induced transcriptional response matched to TNBC-specific CRISPR dependenc…
TerminéAgent 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.
Agent 2 · programmer
A écrit et exécuté le code de chaque groupe de travail. · 10 groupes remis
Agent 3 · inspector
A vérifié les résultats de chaque groupe avant de les valider. · 10 groupes approuvés
Agent 4 · explorer
A cherché des pistes que l'équipe n'avait pas essayées, au-delà de la demande.
- Agents IA
- 4
- Appels au modèle
- 210
- Appels d’outils
- 268
- Simulations réussies
- 37/62
- Temps CPU (toutes les machines)
- 29 min 26 s
- Résultats
- 20
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