|
..
|
|
01_myChEMBL_introduction.ipynb
|
|
02_myChEMBL_RDKit_tutorial.ipynb
|
|
03_myChEMBL_predict_targets.ipynb
|
|
04_myChEMBL_plotting_tutorial.ipynb
|
|
05_myChEMBL_mds_tutorial.ipynb
|
|
06_myChEMBL_differences_with_ChEMBL.ipynb
|
|
07_myChEMBL_Beaker.ipynb
|
|
08_myChEMBL_Django_ORM.ipynb
|
|
09_myChEMBL_web_services.ipynb
|
|
10_myChEMBL_machine_learning.ipynb
|
|
11_myChEMBL_SureChEMBL_tutorial_1.ipynb
|
|
12_myChEMBL_SureChEMBL_tutorial_2.ipynb
|
|
13_myChEMBL_drugs_ADME.ipynb
|
|
14_myChEMBL_BLAST_and_druggability.ipynb
|
|
15_Unichem.ipynb
|
|
TG_GATES_WS.ipynb
|
|
XX_mongoDB_similarity_search.ipynb
|
|
XX_myChEMBL_ADMESARfari_Webservices.ipynb
|
|
aspirin_neighbours.ipynb
|
|
A2A_Adenosine_set_mychembl.csv
|
|
US_antimalarial_patents_cmpds.txt
|
|
custom.css
|
|
document_chemistry_20141011_114421_271.csv
|
|
fps.pkl
|
|
ipnbdoctest.py
|
|
ipynb_deamonise.sh
|
|
physchem_props_heatmap.csv
|
|
settings.py
|
|
smiles_cas_N6512.smi
|