Mechanisms of Action (MoA) Prediction for CMAP
Using MetMap500, we identified a 13-gene lung cancer metastasis signature linked to metastatic potential, poor prognosis, and broad drug resistance. The signature outperformed prior gene sets and prioritized crizotinib through transcriptomic and network-level associations.
Codebase for 'Integrative transcriptome-based drug repurposing in tuberculosis'
PERSIST (PERsister-State In-Silico Targeting): residual-state modelling of single-cell drug response for combination therapy prediction in EGFR-mutant NSCLC and TNBC
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