open_targets.chemical_probe

Python

In [1]:

import bedrock_bio as bb

rel = bb.load_table('open_targets.chemical_probe')

df = rel.limit(5).pl()  # Polars
df = rel.limit(5).df()  # Pandas
df.head()

Out[1]:

	targetFromSourceId	drugFromSource	drugFromSourceId	drugId	mechanismOfAction	origin	control	isHighQuality	probesDrugsScore	scoreInCells	scoreInOrganisms	urls	targetId	version
0	B2RXH2	ML001	PD016117	CHEMBL1612647	<NA>	[experimental]	NaN	False	20.0	NaN	NaN	[{'niceName': 'MLP Probes', 'url': 'http://www...	ENSG00000235268	26.09
1	B2RXH2	ML157	PD015979	CHEMBL1459090	<NA>	[experimental]	NaN	False	40.0	NaN	NaN	[{'niceName': 'MLP Probes', 'url': 'http://www...	ENSG00000235268	26.09
2	B2RXH2	ML324	PD010259	CHEMBL1398529	[inhibitor]	[experimental]	NaN	False	20.0	NaN	NaN	[{'niceName': 'MLP Probes', 'url': 'http://www...	ENSG00000235268	26.09
3	O00141	PROTAC SGK3 degrader-1	PD142034	CHEMBL4795354	<NA>	[experimental]	cisSGK3-PROTAC1	True	33.2	NaN	NaN	[{'niceName': 'Chemical Probes.org', 'url': 'h...	ENSG00000118515	26.09
4	O00141	SGK1-IN-1	PD053941	CHEMBL3092468	[inhibitor]	[experimental, calculated]	NaN	True	90.0	50.0	0.0	[{'niceName': 'Chemical Probes.org', 'url': 'h...	ENSG00000118515	26.09

R

In [1]:

library(bedrockbio)

lf <- load_table("open_targets.chemical_probe")
df <- head(lf, 5) |> collect()

head(df)

Out[1]:

Sample output (5 rows, showing 8 of 14 columns)
   targetFromSourceId | drugFromSource         | drugFromSourceId | drugId        | control         | isHighQuality | probesDrugsScore | scoreInCells
   ------------------ | ---------------------- | ---------------- | ------------- | --------------- | ------------- | ---------------- | ------------
0  B2RXH2             | ML001                  | PD016117         | CHEMBL1612647 | —               | false         | 20               | NaN
1  B2RXH2             | ML157                  | PD015979         | CHEMBL1459090 | —               | false         | 40               | NaN
2  B2RXH2             | ML324                  | PD010259         | CHEMBL1398529 | —               | false         | 20               | NaN
3  O00141             | PROTAC SGK3 degrader-1 | PD142034         | CHEMBL4795354 | cisSGK3-PROTAC1 | true          | 33.2             | NaN
4  O00141             | SGK1-IN-1              | PD053941         | CHEMBL3092468 | —               | true          | 90               | 50

Description

Chemical probes and their molecular characteristics, resolved to Ensembl target identifiers [Target]

Partitions

Not partitioned.

Schema

Column	Type	Description
targetFromSourceId	TEXT	Gene symbol or protein accession identifying the target as reported by the probe source, prior to ENSG resolution
drugFromSource	TEXT	Compound name of the chemical probe
drugFromSourceId	TEXT	Probe identifier from the source, used to cross-reference drug information
drugId	TEXT	Open Targets molecule identifier of the drug associated with the chemical probe
mechanismOfAction	TEXT[]	Mechanism of action of the chemical probe
origin	TEXT[]	Origin of the chemical probe (e.g. experimental, calculated)
control	TEXT	Whether the chemical probe serves as a control
isHighQuality	BOOLEAN	Indicates if the chemical probe is high quality
probesDrugsScore	DOUBLE	Score for chemical probes related to druggability
scoreInCells	DOUBLE	Score indicating chemical probe activity in cells
scoreInOrganisms	DOUBLE	Score indicating chemical probe activity in organisms
urls	STRUCT(niceName TEXT, url TEXT)[]	URLs linking to more information about the chemical probe
targetId	TEXT	Ensembl gene identifier of the target, resolved from targetFromSourceId via output/target [bioregistry:ensembl]
version	TEXT	Open Targets Platform release version (major.minor), e.g. 26.09. Added during ingest.