Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques
Fig 4
Drug efficacy prediction analysis and drug molecular weight analysis for targeted drugs (A-C) Bar plots showing the predicted ln IC50 values compared to observed values of Erlotinib in four LUAD cell lines; line plots showing the distribution of drug molecular attention weights of Erlotinib in PC14 and HCC827 cell lines; molecular weight visualization analysis for Erlotinib highlights molecular structures with attention scores > 0.01, using red to indicate molecular structures commonly attended to by cell lines, and green to indicate molecular structures individually attended to by each cell line.
(D-F) Bar plots showing the predicted ln IC50 values compared to observed values of Refametinib in four LUAD cell lines; line plots showing the distribution of drug molecular attention weights of Refametinib in IGR37 and SKMEL1 cell lines; molecular weight visualization analysis for Refametinib highlights molecular structures with attention scores > 0.01, using red to indicate molecular structures commonly attended to by cell lines, and green to indicate molecular structures individually attended to by each cell line.