Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles

HIGHLIGHTS

• who: Chengyou Liu from the Department of Biochemistry and Medical Genetics, University Winnipeg, MB R E , Canada have published the article: Deep learning-driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles, in the Journal: (JOURNAL)
• what: The authors proposed a comprehensive framework based on the large-scale chemicalgenetics dataset built in Mycobacterium tuberculosis for predicting CGIPs using graph-based deep learning models. The authors demonstrate that the approach effectively created tuberculosis gene clusters and the trained classifier is able to predict activity against essential tuberculosis targets with high accuracy . . .
  

   

  

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