Integrating pharmacogenomics data-driven computational drug prediction with single-cell rnaseq to demonstrate the efficacy of a nampt inhibitor against aggressive, taxane-resistant, and stem-like cells in lethal prostate cancer

HIGHLIGHTS

• who: Suman Mazumder and collaborators from the Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, Auburn, AL, USA have published the Article: Integrating Pharmacogenomics Data-Driven Computational Drug Prediction with Single-Cell RNAseq to Demonstrate the Efficacy of a NAMPT Inhibitor against Aggressive, Taxane-Resistant, and Stem-like Cells in Lethal Prostate Cancer, in the Journal: (JOURNAL)
• what: For this study, to predict secDrugs in Prostate Cancer, the authors used an inclusion criterion that filtered cell lines with genito-urinal cancer subtypes. Because the prostate cancer cells did not frequently enter . . .
  

   

  

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