Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1781865

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1781865

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: CHEMBL1781865 (TID: 104157), and it has 14 rows and 113 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.

115 features

pXC50 (target)numeric14 unique values
0 missing
molecule_id (row identifier)nominal14 unique values
0 missing
AECCnumeric11 unique values
0 missing
ATS1mnumeric13 unique values
0 missing
ATS1pnumeric13 unique values
0 missing
ATS1vnumeric13 unique values
0 missing
ATS2enumeric13 unique values
0 missing
ATS2mnumeric14 unique values
0 missing
ATS2pnumeric14 unique values
0 missing
ATS2vnumeric14 unique values
0 missing
ATS3pnumeric14 unique values
0 missing
ATS3vnumeric14 unique values
0 missing
ATS4enumeric14 unique values
0 missing
ATS4mnumeric14 unique values
0 missing
ATS4snumeric14 unique values
0 missing
ATS5snumeric13 unique values
0 missing
ATSC1pnumeric13 unique values
0 missing
ATSC2pnumeric14 unique values
0 missing
ATSC3mnumeric14 unique values
0 missing
ATSC4mnumeric14 unique values
0 missing
ATSC5mnumeric14 unique values
0 missing
ATSC5pnumeric14 unique values
0 missing
ATSC6pnumeric14 unique values
0 missing
ATSC7pnumeric14 unique values
0 missing
ATSC8pnumeric14 unique values
0 missing
BLInumeric13 unique values
0 missing
C.numeric12 unique values
0 missing
C.024numeric8 unique values
0 missing
CATS2D_02_DLnumeric2 unique values
0 missing
CATS2D_03_DLnumeric3 unique values
0 missing
CATS2D_05_ALnumeric6 unique values
0 missing
CATS2D_06_ALnumeric6 unique values
0 missing
CATS2D_07_ALnumeric6 unique values
0 missing
CATS2D_07_PLnumeric2 unique values
0 missing
CATS2D_08_DLnumeric5 unique values
0 missing
CATS2D_08_PLnumeric3 unique values
0 missing
Chi0_EA.bo.numeric12 unique values
0 missing
Chi1_EA.bo.numeric12 unique values
0 missing
Chi1_EA.ed.numeric11 unique values
0 missing
CSInumeric11 unique values
0 missing
D.Dtr05numeric11 unique values
0 missing
D.Dtr06numeric11 unique values
0 missing
Dznumeric12 unique values
0 missing
ECCnumeric11 unique values
0 missing
Eig03_AEA.ri.numeric9 unique values
0 missing
Eig03_EAnumeric7 unique values
0 missing
Eig03_EA.ri.numeric10 unique values
0 missing
Eig04_AEA.ed.numeric8 unique values
0 missing
Eig04_AEA.ri.numeric10 unique values
0 missing
Eig04_EAnumeric10 unique values
0 missing
Eig04_EA.ed.numeric10 unique values
0 missing
Eig04_EA.ri.numeric12 unique values
0 missing
Eig05_AEA.ed.numeric10 unique values
0 missing
Eig05_AEA.ri.numeric12 unique values
0 missing
Eig05_EAnumeric11 unique values
0 missing
Eig05_EA.ed.numeric10 unique values
0 missing
Eig05_EA.ri.numeric13 unique values
0 missing
Eig06_AEA.ed.numeric11 unique values
0 missing
Eig08_EA.bo.numeric12 unique values
0 missing
Eig08_EA.ri.numeric11 unique values
0 missing
Eig09_EA.ri.numeric11 unique values
0 missing
Eig11_AEA.bo.numeric12 unique values
0 missing
Eig11_AEA.ri.numeric13 unique values
0 missing
Eig11_EAnumeric10 unique values
0 missing
Eig11_EA.bo.numeric11 unique values
0 missing
Eig11_EA.ri.numeric12 unique values
0 missing
Eig14_AEA.ed.numeric10 unique values
0 missing
Eig14_AEA.ri.numeric13 unique values
0 missing
Eig14_EAnumeric10 unique values
0 missing
Eig14_EA.bo.numeric12 unique values
0 missing
Eig14_EA.ri.numeric12 unique values
0 missing
Eig15_AEA.ed.numeric11 unique values
0 missing
Eta_epsinumeric13 unique values
0 missing
Eta_Lnumeric14 unique values
0 missing
Eta_sh_ynumeric11 unique values
0 missing
GATS1inumeric13 unique values
0 missing
GATS3pnumeric14 unique values
0 missing
GATS8inumeric13 unique values
0 missing
GMTInumeric11 unique values
0 missing
GMTIVnumeric14 unique values
0 missing
HVcpxnumeric11 unique values
0 missing
IACnumeric13 unique values
0 missing
IDEnumeric11 unique values
0 missing
MATS1inumeric13 unique values
0 missing
MATS6vnumeric14 unique values
0 missing
MATS7inumeric14 unique values
0 missing
MATS7vnumeric14 unique values
0 missing
MAXDPnumeric14 unique values
0 missing
MDDDnumeric11 unique values
0 missing
Minumeric10 unique values
0 missing
MSDnumeric11 unique values
0 missing
N.numeric12 unique values
0 missing
nBnznumeric3 unique values
0 missing
nCarnumeric6 unique values
0 missing
nCb.numeric6 unique values
0 missing
nCbHnumeric6 unique values
0 missing
nCsp2numeric7 unique values
0 missing
ON0numeric9 unique values
0 missing
PHInumeric13 unique values
0 missing
Psi_e_0numeric14 unique values
0 missing
Psi_e_1numeric14 unique values
0 missing
Psi_i_0numeric13 unique values
0 missing
Psi_i_1numeric14 unique values
0 missing
P_VSA_i_3numeric13 unique values
0 missing
P_VSA_MR_6numeric13 unique values
0 missing
P_VSA_p_3numeric13 unique values
0 missing
P_VSA_v_3numeric13 unique values
0 missing
RDCHInumeric11 unique values
0 missing
S1Knumeric13 unique values
0 missing
S2Knumeric13 unique values
0 missing
S3Knumeric13 unique values
0 missing
SaaCHnumeric14 unique values
0 missing
SAtotnumeric13 unique values
0 missing
SM02_EA.ed.numeric11 unique values
0 missing
SM02_EA.ri.numeric13 unique values
0 missing

62 properties

14
Number of instances (rows) of the dataset.
115
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.
114
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.
8.21
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.29
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.
-0.03
Mean skewness among attributes of the numeric type.
4.12
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
268.67
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.
-0.04
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-2.24
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.74
Second quartile (Median) of standard deviation of attributes of the numeric type.
4.21
Maximum kurtosis among attributes of the numeric type.
-0.26
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
39120.36
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.
0.21
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.
99.13
Percentage of numeric attributes.
10.84
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.4
Minimum skewness among attributes of the numeric type.
0.87
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
1.89
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.
0.28
Third quartile of skewness among attributes of the numeric type.
22284.06
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.94
First quartile of kurtosis among attributes of the numeric type.
3.39
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.
2.1
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.3
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.
477.57
Mean of means among attributes of the numeric type.
-0.37
First quartile of skewness among attributes of the numeric type.
0.34
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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