Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL270

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL270

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 by Noureddin Sadawi
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This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target ChEMBL_ID: CHEMBL270 (TID: 10529), and it has 2578 rows and 140 features (not including molecule IDs and class feature: molecule_id and pXC50). The features represent Molecular Descriptors which were generated from SMILES strings. Missing value imputation was applied to this dataset (By choosing the Median). Feature selection was also applied.

142 features

pXC50 (target)numeric1493 unique values
0 missing
molecule_id (row identifier)nominal2578 unique values
0 missing
Eig01_EA.ed.numeric774 unique values
0 missing
SM10_AEA.dm.numeric774 unique values
0 missing
SpMax_EA.ed.numeric774 unique values
0 missing
Eig01_EA.bo.numeric392 unique values
0 missing
SM11_AEA.ri.numeric392 unique values
0 missing
SpMax_EA.bo.numeric392 unique values
0 missing
Eig01_AEA.dm.numeric551 unique values
0 missing
SpMax_AEA.dm.numeric551 unique values
0 missing
SpDiam_AEA.dm.numeric551 unique values
0 missing
Eig01_AEA.ed.numeric535 unique values
0 missing
SpMax_AEA.ed.numeric535 unique values
0 missing
Eig01_AEA.bo.numeric546 unique values
0 missing
SpMax_AEA.bo.numeric546 unique values
0 missing
SpDiam_EA.bo.numeric402 unique values
0 missing
Eig02_AEA.ed.numeric695 unique values
0 missing
Eig02_EA.ed.numeric1004 unique values
0 missing
SM11_AEA.dm.numeric1004 unique values
0 missing
GATS6pnumeric407 unique values
0 missing
Eig01_EA.ri.numeric532 unique values
0 missing
SpDiam_EA.ri.numeric532 unique values
0 missing
SpMax_EA.ri.numeric532 unique values
0 missing
SM08_EA.ed.numeric1234 unique values
0 missing
GATS6inumeric395 unique values
0 missing
Eig01_AEA.ri.numeric555 unique values
0 missing
SpMax_AEA.ri.numeric555 unique values
0 missing
Eig02_EA.bo.numeric493 unique values
0 missing
SM12_AEA.ri.numeric493 unique values
0 missing
Eig03_EA.ed.numeric1116 unique values
0 missing
SM12_AEA.dm.numeric1116 unique values
0 missing
SpDiam_AEA.bo.numeric615 unique values
0 missing
SpMin1_Bh.e.numeric201 unique values
0 missing
CATS2D_06_DLnumeric33 unique values
0 missing
MATS1enumeric279 unique values
0 missing
SM15_EA.ri.numeric1353 unique values
0 missing
SM07_EA.ed.numeric1217 unique values
0 missing
GATS5pnumeric371 unique values
0 missing
SM15_EA.ed.numeric1181 unique values
0 missing
SM12_EA.ri.numeric1354 unique values
0 missing
SM15_AEA.ed.numeric1168 unique values
0 missing
SM11_EA.ri.numeric1314 unique values
0 missing
GATS6enumeric846 unique values
0 missing
CATS2D_03_DLnumeric32 unique values
0 missing
nArOHnumeric6 unique values
0 missing
SpMin1_Bh.i.numeric205 unique values
0 missing
SM12_EA.ed.numeric1214 unique values
0 missing
SM13_EA.ed.numeric1179 unique values
0 missing
Eig02_AEA.ri.numeric609 unique values
0 missing
SM09_EA.ed.numeric1219 unique values
0 missing
SM14_EA.ed.numeric1164 unique values
0 missing
MATS7pnumeric372 unique values
0 missing
SM11_AEA.ed.numeric1175 unique values
0 missing
SM11_EA.ed.numeric1194 unique values
0 missing
GATS7pnumeric463 unique values
0 missing
SM13_EA.ri.numeric1343 unique values
0 missing
SM14_EA.ri.numeric1362 unique values
0 missing
MATS1pnumeric319 unique values
0 missing
Eig02_EA.ri.numeric599 unique values
0 missing
SM15_EAnumeric1235 unique values
0 missing
Eig03_AEA.ed.numeric731 unique values
0 missing
SM14_EA.dm.numeric530 unique values
0 missing
SM12_EAnumeric1248 unique values
0 missing
Eig02_EAnumeric602 unique values
0 missing
SM10_AEA.bo.numeric602 unique values
0 missing
SM06_EA.ed.numeric1209 unique values
0 missing
CATS2D_02_DLnumeric23 unique values
0 missing
MATS1vnumeric183 unique values
0 missing
SpDiam_EA.ed.numeric965 unique values
0 missing
Eig03_EA.bo.numeric654 unique values
0 missing
SM13_AEA.ri.numeric654 unique values
0 missing
SM15_EA.bo.numeric1263 unique values
0 missing
NsssNnumeric5 unique values
0 missing
MATS5snumeric457 unique values
0 missing
SM10_EA.ed.numeric1215 unique values
0 missing
CATS2D_09_DLnumeric39 unique values
0 missing
SpMax3_Bh.i.numeric373 unique values
0 missing
SM14_EA.bo.numeric1262 unique values
0 missing
Eig02_AEA.bo.numeric582 unique values
0 missing
CATS2D_05_PLnumeric15 unique values
0 missing
SM15_EA.dm.numeric412 unique values
0 missing
Eig01_EAnumeric554 unique values
0 missing
SM09_AEA.bo.numeric554 unique values
0 missing
SpDiam_EAnumeric554 unique values
0 missing
SpMax_EAnumeric554 unique values
0 missing
MATS6pnumeric310 unique values
0 missing
MATS7snumeric355 unique values
0 missing
GATS7inumeric430 unique values
0 missing
SM12_EA.dm.numeric555 unique values
0 missing
MATS5enumeric419 unique values
0 missing
SpMin1_Bh.p.numeric191 unique values
0 missing
nCbHnumeric28 unique values
0 missing
GATS5vnumeric325 unique values
0 missing
SM13_AEA.ed.numeric1194 unique values
0 missing
JGI4numeric55 unique values
0 missing
SM10_EA.bo.numeric1204 unique values
0 missing
MATS5inumeric369 unique values
0 missing
SM05_EA.dm.numeric364 unique values
0 missing
GATS6vnumeric387 unique values
0 missing
ATSC6enumeric1324 unique values
0 missing
nRCOORnumeric5 unique values
0 missing
O.057numeric6 unique values
0 missing
SM13_EA.bo.numeric1254 unique values
0 missing
D.Dtr03numeric196 unique values
0 missing
nArCONR2numeric3 unique values
0 missing
SM14_AEA.ed.numeric1187 unique values
0 missing
GATS2enumeric681 unique values
0 missing
Eig05_EA.ed.numeric1243 unique values
0 missing
SM14_AEA.dm.numeric1243 unique values
0 missing
SM12_AEA.ed.numeric1200 unique values
0 missing
nCb.numeric16 unique values
0 missing
SpMax3_Bh.e.numeric388 unique values
0 missing
CATS2D_08_DLnumeric32 unique values
0 missing
SM13_EA.dm.numeric420 unique values
0 missing
GATS6snumeric895 unique values
0 missing
SM03_EA.dm.numeric185 unique values
0 missing
D.Dtr11numeric270 unique values
0 missing
SpMax1_Bh.p.numeric292 unique values
0 missing
Eig11_EA.ed.numeric1181 unique values
0 missing
SM06_AEA.ri.numeric1181 unique values
0 missing
nRNR2numeric5 unique values
0 missing
SsNH2numeric920 unique values
0 missing
SM12_EA.bo.numeric1228 unique values
0 missing
SM09_EA.ri.numeric1288 unique values
0 missing
SM11_EA.bo.numeric1218 unique values
0 missing
MATS1snumeric237 unique values
0 missing
SpMax1_Bh.v.numeric296 unique values
0 missing
ATSC7snumeric2096 unique values
0 missing
SsOHnumeric1295 unique values
0 missing
P_VSA_m_3numeric207 unique values
0 missing
SpMax2_Bh.s.numeric318 unique values
0 missing
SpMax6_Bh.i.numeric703 unique values
0 missing
SpMax6_Bh.e.numeric741 unique values
0 missing
P_VSA_LogP_4numeric272 unique values
0 missing
GATS5mnumeric450 unique values
0 missing
O.060numeric5 unique values
0 missing
N.068numeric5 unique values
0 missing
Eig02_EA.dm.numeric158 unique values
0 missing
MATS7inumeric380 unique values
0 missing
Eig08_EA.ri.numeric997 unique values
0 missing
GATS7vnumeric394 unique values
0 missing
nABnumeric28 unique values
0 missing

62 properties

2578
Number of instances (rows) of the dataset.
142
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
141
Number of numeric attributes.
1
Number of nominal attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0.06
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.54
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.48
Mean skewness among attributes of the numeric type.
4.53
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
4.82
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.46
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.37
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.68
Second quartile (Median) of standard deviation of attributes of the numeric type.
202.76
Maximum kurtosis among attributes of the numeric type.
-0.09
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
179.07
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
1.65
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
99.3
Percentage of numeric attributes.
12.71
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.64
Minimum skewness among attributes of the numeric type.
0.7
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
9.99
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.75
Third quartile of skewness among attributes of the numeric type.
159.74
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.35
First quartile of kurtosis among attributes of the numeric type.
1.76
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
1.9
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
3.12
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
11.17
Mean of means among attributes of the numeric type.
-0.18
First quartile of skewness among attributes of the numeric type.
-0.4
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.24
First quartile of standard deviation of attributes of the numeric type.

12 tasks

2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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