Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.
79
77%
Does it follow best practices?
Impact
74%
1.17xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/chembl-database/SKILL.mdTarget inhibitor discovery workflow
Correct import
100%
100%
Target name search
50%
100%
SINGLE PROTEIN filter
100%
100%
Activity endpoint used
100%
100%
standard_type filter
100%
100%
standard_units filter
100%
100%
Molecule detail retrieval
100%
100%
data_validity_comment acknowledged
0%
0%
pandas DataFrame export
0%
0%
list() for lazy evaluation
100%
100%
Output files produced
100%
100%
Statistics in summary
100%
100%
Drug profile multi-endpoint analysis
Correct import
100%
100%
drug endpoint used
0%
0%
mechanism endpoint used
70%
100%
activity endpoint used
100%
100%
drug_indication endpoint
0%
0%
standard_type grouping
100%
100%
data_validity_comment checked
100%
100%
potential_duplicate flag
0%
0%
pchembl_value used
0%
0%
pandas DataFrame for CSV
0%
0%
list() force evaluation
100%
100%
Output files produced
100%
100%
SAR study with structure and property filtering
Correct import
100%
100%
Similarity endpoint
100%
100%
SMILES as query structure
100%
100%
Similarity threshold parameter
100%
100%
mw_freebase filter
0%
70%
alogp filter
0%
75%
hbd filter
0%
75%
hba filter
0%
75%
Activity retrieval per compound
100%
100%
Settings configuration
100%
100%
pandas DataFrame usage
0%
0%
Output files produced
100%
100%
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Table of Contents
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