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wiggly-tomato

Drug discovery using bioactivity data from ChEMBL. This has been adapted from the repository "CDD_ML_Part_*_bioactivity_data.ipynb" from @dataprofessor. I made some small improvements:

  • Reduced noise via removal of flagged samples
  • Data augmentation via addition of samples reported in Ki (rather than just IC50 by applying the conversion factor reported in Kalliokoski et al. (DOI.0061007).
  • More plots in data analysis exploration
  • Kruskal-Wallis and Conover-Iman tests

Future plans for the project include structural analysis using Bio3D and the SMILE IDs reported in part 1 of the code, as well as a docking simulation between the top 3 samples and the target (Abeta).

I also intend to condense the various parts of the code into one or two notebooks instead of five. I will try and balance brevity and clarity as well.

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