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# dataset.csv | |
# ID,Height,time_of_day,resolution | |
# 272,1.567925,1.375000,0.594089 | |
# 562,1.807508,1.458333,0.594089 | |
# 585,2.693542,0.416667,0.594089 | |
# 610,1.036305,1.458333,0.594089 | |
# 633,1.117111,0.416667,0.594089 | |
# 658,1.542407,1.458333,0.594089 | |
# 681,1.930844,0.416667,0.594089 | |
# 802,1.505548,1.458333,0.594089 |
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import pandas as pd # uses pandas python module to view and analyse data | |
import requests # this is used to access json files | |
#====================================================================# | |
# using a list of known targets, find compounds that are active on these targets: | |
def find_bioactivities_for_targets(targets): | |
targets = ",".join(targets) # join the targets into a suitable string to fulfil the search conditions of the ChEMBL api |
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