Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL318

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL318

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: CHEMBL318 (TID: 12512), and it has 2866 rows and 143 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.

145 features

pXC50 (target)numeric1345 unique values
0 missing
molecule_id (row identifier)nominal2866 unique values
0 missing
C.043numeric4 unique values
0 missing
Hynumeric754 unique values
0 missing
CATS2D_02_DAnumeric10 unique values
0 missing
SAdonnumeric123 unique values
0 missing
SaaNHnumeric368 unique values
0 missing
nCIRnumeric16 unique values
0 missing
Eig01_EA.bo.numeric478 unique values
0 missing
SM11_AEA.ri.numeric478 unique values
0 missing
SpMax_EA.bo.numeric478 unique values
0 missing
Eig01_EA.ed.numeric728 unique values
0 missing
SM10_AEA.dm.numeric728 unique values
0 missing
SpMax_EA.ed.numeric728 unique values
0 missing
SpDiam_EA.ed.numeric846 unique values
0 missing
SpDiam_EA.bo.numeric528 unique values
0 missing
Eig01_AEA.ed.numeric460 unique values
0 missing
SpMax_AEA.ed.numeric460 unique values
0 missing
N.073numeric4 unique values
0 missing
SRW09numeric159 unique values
0 missing
Eig01_EAnumeric372 unique values
0 missing
SM09_AEA.bo.numeric372 unique values
0 missing
SpDiam_EAnumeric372 unique values
0 missing
SpMax_EAnumeric372 unique values
0 missing
CATS2D_03_DAnumeric10 unique values
0 missing
N.numeric180 unique values
0 missing
ATS8mnumeric1519 unique values
0 missing
GGI8numeric518 unique values
0 missing
P_VSA_e_3numeric275 unique values
0 missing
nRNR2numeric3 unique values
0 missing
Eig01_AEA.ri.numeric401 unique values
0 missing
SpMax_AEA.ri.numeric401 unique values
0 missing
CATS2D_03_DLnumeric11 unique values
0 missing
Eig01_AEA.bo.numeric351 unique values
0 missing
SpMax_AEA.bo.numeric351 unique values
0 missing
NaaNHnumeric3 unique values
0 missing
SM15_EA.ed.numeric1118 unique values
0 missing
C.028numeric4 unique values
0 missing
C.044numeric3 unique values
0 missing
nR09numeric4 unique values
0 missing
n135.Triazinesnumeric2 unique values
0 missing
JGI9numeric22 unique values
0 missing
SM14_EA.ed.numeric1122 unique values
0 missing
P_VSA_i_4numeric325 unique values
0 missing
Eig01_EA.ri.numeric439 unique values
0 missing
SpMax_EA.ri.numeric439 unique values
0 missing
P_VSA_s_5numeric62 unique values
0 missing
CATS2D_03_APnumeric4 unique values
0 missing
Eig10_AEA.ed.numeric1042 unique values
0 missing
Psi_i_tnumeric13 unique values
0 missing
SaaOnumeric198 unique values
0 missing
nCICnumeric10 unique values
0 missing
TRSnumeric32 unique values
0 missing
Eig04_AEA.ed.numeric846 unique values
0 missing
CATS2D_07_APnumeric4 unique values
0 missing
Eig04_EAnumeric761 unique values
0 missing
SM12_AEA.bo.numeric761 unique values
0 missing
JGI10numeric19 unique values
0 missing
SAaccnumeric724 unique values
0 missing
NaaOnumeric4 unique values
0 missing
SaaNnumeric1769 unique values
0 missing
nArNH2numeric3 unique values
0 missing
nFuranesnumeric4 unique values
0 missing
IC2numeric1194 unique values
0 missing
CATS2D_09_DAnumeric9 unique values
0 missing
CATS2D_06_APnumeric4 unique values
0 missing
SpDiam_EA.ri.numeric495 unique values
0 missing
Eig04_AEA.ri.numeric836 unique values
0 missing
CATS2D_04_DLnumeric12 unique values
0 missing
piPC09numeric1339 unique values
0 missing
N.069numeric3 unique values
0 missing
nR05numeric5 unique values
0 missing
TPSA.NO.numeric677 unique values
0 missing
N.068numeric3 unique values
0 missing
H.048numeric5 unique values
0 missing
TPSA.Tot.numeric733 unique values
0 missing
CATS2D_07_DLnumeric11 unique values
0 missing
SRW05numeric13 unique values
0 missing
GATS6vnumeric578 unique values
0 missing
Eig11_AEA.ed.numeric1044 unique values
0 missing
Eig02_AEA.ed.numeric695 unique values
0 missing
SM12_EA.ed.numeric1122 unique values
0 missing
D.Dtr05numeric1822 unique values
0 missing
SpMax4_Bh.s.numeric799 unique values
0 missing
SM06_EA.dm.numeric563 unique values
0 missing
LLS_01numeric7 unique values
0 missing
C.019numeric3 unique values
0 missing
C.017numeric5 unique values
0 missing
nR.Ctnumeric5 unique values
0 missing
Eig15_EA.dm.numeric35 unique values
0 missing
GATS8inumeric597 unique values
0 missing
SM11_EA.ed.numeric1121 unique values
0 missing
SM05_EAnumeric132 unique values
0 missing
SRW07numeric50 unique values
0 missing
CATS2D_06_PLnumeric6 unique values
0 missing
Eig05_EA.bo.numeric994 unique values
0 missing
SM15_AEA.ri.numeric994 unique values
0 missing
nNnumeric14 unique values
0 missing
CATS2D_04_DAnumeric9 unique values
0 missing
SpMax1_Bh.i.numeric269 unique values
0 missing
Rperimnumeric30 unique values
0 missing
SpMax4_Bh.m.numeric801 unique values
0 missing
Eig03_EA.bo.numeric811 unique values
0 missing
SM13_AEA.ri.numeric811 unique values
0 missing
C.038numeric3 unique values
0 missing
nABnumeric26 unique values
0 missing
piPC07numeric1203 unique values
0 missing
Eig05_AEA.bo.numeric880 unique values
0 missing
Eig03_EA.ed.numeric1173 unique values
0 missing
SM12_AEA.dm.numeric1173 unique values
0 missing
D.Dtr09numeric1766 unique values
0 missing
P_VSA_LogP_4numeric444 unique values
0 missing
CATS2D_03_AAnumeric10 unique values
0 missing
ZM1Madnumeric2203 unique values
0 missing
CATS2D_07_PLnumeric6 unique values
0 missing
Eig10_AEA.dm.numeric1144 unique values
0 missing
SM07_EA.dm.numeric262 unique values
0 missing
SM04_EA.dm.numeric599 unique values
0 missing
X4solnumeric1832 unique values
0 missing
N.071numeric3 unique values
0 missing
nTriazolesnumeric3 unique values
0 missing
SpMin5_Bh.v.numeric652 unique values
0 missing
Eig15_EA.ed.numeric1362 unique values
0 missing
SM10_AEA.ri.numeric1362 unique values
0 missing
nHetnumeric21 unique values
0 missing
CATS2D_00_DDnumeric3 unique values
0 missing
CATS2D_00_DPnumeric3 unique values
0 missing
CATS2D_00_PPnumeric3 unique values
0 missing
NsNH2numeric3 unique values
0 missing
SpMax2_Bh.m.numeric555 unique values
0 missing
Yindexnumeric782 unique values
0 missing
NssNHnumeric7 unique values
0 missing
NaaNnumeric8 unique values
0 missing
SpMAD_EA.dm.numeric511 unique values
0 missing
Eig03_AEA.ed.numeric728 unique values
0 missing
SpDiam_AEA.ri.numeric439 unique values
0 missing
GATS1inumeric861 unique values
0 missing
SpDiam_AEA.dm.numeric681 unique values
0 missing
SM15_EA.dm.numeric239 unique values
0 missing
SM09_EA.dm.numeric255 unique values
0 missing
SM05_EA.dm.numeric245 unique values
0 missing
NaaaCnumeric6 unique values
0 missing
C.032numeric3 unique values
0 missing
N.075numeric8 unique values
0 missing
SM13_EA.dm.numeric239 unique values
0 missing

62 properties

2866
Number of instances (rows) of the dataset.
145
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.
144
Number of numeric attributes.
1
Number of nominal attributes.
Third quartile of entropy among attributes.
259.22
Maximum kurtosis among attributes of the numeric type.
-0.81
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
7.5
Third quartile of kurtosis among attributes of the numeric type.
180.49
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.
6.41
Third quartile of means 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.
99.31
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-10.4
Minimum skewness among attributes of the numeric type.
0.69
Percentage of nominal attributes.
1.25
Third quartile of skewness among attributes of the numeric type.
12.67
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.47
Third quartile of standard deviation of attributes of the numeric type.
74.43
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.45
First quartile of kurtosis among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.64
First quartile of means among attributes of the numeric type.
7.85
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.
11.6
Mean of means among attributes of the numeric type.
-0.31
First quartile of skewness among attributes of the numeric type.
-0.14
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.27
First quartile of standard deviation of attributes of the numeric type.
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.
0.05
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
2.28
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.
0.66
Mean skewness among attributes of the numeric type.
3.27
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
4.58
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.
0.5
Second quartile (Median) of skewness among attributes of the numeric type.
0.5
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.97
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.

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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