Research Project with Broad Institute of MIT & Harvard (2018-2019)
Note: This is only publically available code and results. All other code for the project was maintained by Adit and the Broad Insitute (including all private data collected and used for the project). Drug screening was completed using DrugBank database
Files
- Copy_drugs_with_side_effects_and_targets.ipynb: Find all drugs based on side effects/targets
- Documentation.ipynb: Internal Documentation when learning data analytics
- Example_get_p_values_side_effect_drugs.ipynb: Retrieve p-values based on drug side effects
- Freq_Final_drugs_With_Glyc_side_effects.ipynb: Look at frequencies and glyc side effect when screening
- Glyc_NO_Freq_Final.ipynb: Screen with Glyc but without frequencies
- Glyc_tension+Freq_Final_drugs.ipynb: Final Drug screening for glyc and frequency analysis
- NoFreq_Final_drugs_with_side_effects_and_targets-.ipynb: Account for side effects, but no frequency analysis
- drugs_primary_effect_blood_glucose.ipynb: Look at drugs with primary effect of blood glucose
The above notebooks are all drug screenings based on publically-available information. These were further refined to identify three repurposing targets for T2D using privately-collected exome sequence data collected by the Broad Instiute.