Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1844

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1844

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: CHEMBL1844 (TID: 12840), and it has 1608 rows and 139 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.

141 features

pXC50 (target)numeric280 unique values
0 missing
molecule_id (row identifier)nominal1608 unique values
0 missing
Chi1_EA.dm.numeric1281 unique values
0 missing
NaasCnumeric14 unique values
0 missing
SdOnumeric1057 unique values
0 missing
CATS2D_08_DAnumeric7 unique values
0 missing
LLS_01numeric7 unique values
0 missing
P_VSA_i_2numeric1398 unique values
0 missing
Eig04_EAnumeric700 unique values
0 missing
SM12_AEA.bo.numeric700 unique values
0 missing
Eig04_AEA.ri.numeric773 unique values
0 missing
P_VSA_p_3numeric1400 unique values
0 missing
P_VSA_v_3numeric1400 unique values
0 missing
X2solnumeric1178 unique values
0 missing
ATS6mnumeric938 unique values
0 missing
Eig04_EA.ri.numeric779 unique values
0 missing
Uindexnumeric1266 unique values
0 missing
ATS7mnumeric1005 unique values
0 missing
X1numeric892 unique values
0 missing
Eig09_EA.ri.numeric844 unique values
0 missing
SpAD_EA.dm.numeric562 unique values
0 missing
ATS4mnumeric854 unique values
0 missing
Chi0_EA.ri.numeric1441 unique values
0 missing
SpMax7_Bh.e.numeric676 unique values
0 missing
SpMax7_Bh.i.numeric649 unique values
0 missing
Eig06_EA.bo.numeric824 unique values
0 missing
nHAccnumeric17 unique values
0 missing
ATS5mnumeric886 unique values
0 missing
Qindexnumeric37 unique values
0 missing
GGI1numeric26 unique values
0 missing
IVDMnumeric361 unique values
0 missing
Eig05_EA.ed.numeric1059 unique values
0 missing
SM14_AEA.dm.numeric1059 unique values
0 missing
Eig15_AEA.bo.numeric820 unique values
0 missing
ATS3mnumeric806 unique values
0 missing
Eig09_AEA.ri.numeric855 unique values
0 missing
nR06numeric7 unique values
0 missing
Eig08_AEA.ed.numeric866 unique values
0 missing
SpMin4_Bh.m.numeric576 unique values
0 missing
SpMax8_Bh.s.numeric874 unique values
0 missing
Eta_betaSnumeric105 unique values
0 missing
Eig08_EA.ed.numeric1054 unique values
0 missing
SM03_AEA.ri.numeric1054 unique values
0 missing
SpMax5_Bh.m.numeric699 unique values
0 missing
Hypnotic.80numeric2 unique values
0 missing
SAaccnumeric895 unique values
0 missing
TRSnumeric36 unique values
0 missing
ZM2Madnumeric1514 unique values
0 missing
Eig04_EA.ed.numeric1052 unique values
0 missing
SM13_AEA.dm.numeric1052 unique values
0 missing
SM08_AEA.bo.numeric733 unique values
0 missing
Eig14_EAnumeric812 unique values
0 missing
SM08_AEA.dm.numeric812 unique values
0 missing
BBInumeric65 unique values
0 missing
MPC02numeric65 unique values
0 missing
SM02_EAnumeric65 unique values
0 missing
Eig14_EA.ri.numeric964 unique values
0 missing
MWC03numeric218 unique values
0 missing
ZM2numeric218 unique values
0 missing
Eig09_EAnumeric736 unique values
0 missing
SM03_AEA.dm.numeric736 unique values
0 missing
MWC04numeric428 unique values
0 missing
SPInumeric1227 unique values
0 missing
SM07_EAnumeric570 unique values
0 missing
SRW06numeric495 unique values
0 missing
Eig14_EA.ed.numeric943 unique values
0 missing
SM09_AEA.ri.numeric943 unique values
0 missing
ZM2Vnumeric419 unique values
0 missing
Eig02_EA.dm.numeric112 unique values
0 missing
Eig15_EA.ri.numeric988 unique values
0 missing
P_VSA_s_5numeric81 unique values
0 missing
ZM2Pernumeric1511 unique values
0 missing
ATS2mnumeric753 unique values
0 missing
Eig04_EA.dm.numeric64 unique values
0 missing
nCsp3numeric17 unique values
0 missing
ZM2MulPernumeric1529 unique values
0 missing
ATSC4snumeric1573 unique values
0 missing
Eig08_EA.bo.numeric825 unique values
0 missing
SpMax6_Bh.e.numeric668 unique values
0 missing
Eig15_AEA.ri.numeric982 unique values
0 missing
Eta_Bnumeric438 unique values
0 missing
Eig15_EA.ed.numeric968 unique values
0 missing
SM10_AEA.ri.numeric968 unique values
0 missing
Eig06_EAnumeric763 unique values
0 missing
SM14_AEA.bo.numeric763 unique values
0 missing
SpMax7_Bh.m.numeric707 unique values
0 missing
SpMin8_Bh.s.numeric486 unique values
0 missing
Eig05_AEA.dm.numeric857 unique values
0 missing
SpMax5_Bh.v.numeric704 unique values
0 missing
nCnumeric34 unique values
0 missing
ZM1Madnumeric1453 unique values
0 missing
Eig04_AEA.ed.numeric792 unique values
0 missing
X5solnumeric1185 unique values
0 missing
Eig09_AEA.dm.numeric881 unique values
0 missing
P_VSA_v_2numeric937 unique values
0 missing
SM08_EAnumeric828 unique values
0 missing
Eig13_AEA.ed.numeric765 unique values
0 missing
SM07_AEA.ed.numeric827 unique values
0 missing
ZM2Kupnumeric1484 unique values
0 missing
Eig08_AEA.dm.numeric869 unique values
0 missing
Eig13_EA.ri.numeric930 unique values
0 missing
AECCnumeric938 unique values
0 missing
ATS3inumeric899 unique values
0 missing
GGI9numeric399 unique values
0 missing
P_VSA_MR_5numeric1148 unique values
0 missing
X0vnumeric1350 unique values
0 missing
SpMin7_Bh.s.numeric531 unique values
0 missing
ZM1Kupnumeric1415 unique values
0 missing
BACnumeric88 unique values
0 missing
Eig06_AEA.ri.numeric885 unique values
0 missing
Eig03_EA.dm.numeric87 unique values
0 missing
AMRnumeric1471 unique values
0 missing
SM12_EA.dm.numeric329 unique values
0 missing
SM14_EA.dm.numeric299 unique values
0 missing
SpMax7_Bh.p.numeric649 unique values
0 missing
ON0numeric176 unique values
0 missing
SpMax3_Bh.s.numeric556 unique values
0 missing
Eta_alphanumeric725 unique values
0 missing
SM08_EA.dm.numeric437 unique values
0 missing
SM10_EA.dm.numeric358 unique values
0 missing
Eig06_AEA.bo.numeric747 unique values
0 missing
Eig05_EAnumeric749 unique values
0 missing
SM13_AEA.bo.numeric749 unique values
0 missing
S1Knumeric1048 unique values
0 missing
Eig04_AEA.bo.numeric680 unique values
0 missing
IDEnumeric865 unique values
0 missing
ON1numeric306 unique values
0 missing
SAtotnumeric1436 unique values
0 missing
ATSC8pnumeric1470 unique values
0 missing
MWnumeric1261 unique values
0 missing
piPC02numeric294 unique values
0 missing
SM02_EA.bo.numeric294 unique values
0 missing
S2Knumeric1175 unique values
0 missing
SpMin6_Bh.e.numeric623 unique values
0 missing
ATSC4vnumeric1505 unique values
0 missing
NdOnumeric6 unique values
0 missing
O.058numeric6 unique values
0 missing
Eig06_EA.ed.numeric1106 unique values
0 missing
SM15_AEA.dm.numeric1106 unique values
0 missing
Chi0_EA.bo.numeric1164 unique values
0 missing
SpMax7_Bh.v.numeric671 unique values
0 missing

62 properties

1608
Number of instances (rows) of the dataset.
141
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.
140
Number of numeric attributes.
1
Number of nominal attributes.
Third quartile of entropy among attributes.
70.86
Maximum kurtosis among attributes of the numeric type.
-0.68
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
2.05
Third quartile of kurtosis among attributes of the numeric type.
669.91
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.
13.49
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.
99.29
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.
-2.61
Minimum skewness among attributes of the numeric type.
0.71
Percentage of nominal attributes.
0.45
Third quartile of skewness among attributes of the numeric type.
5.27
Maximum skewness among attributes of the numeric type.
0.12
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
4.13
Third quartile of standard deviation of attributes of the numeric type.
156.92
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.13
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.
2.12
First quartile of means among attributes of the numeric type.
2.68
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.
39.56
Mean of means among attributes of the numeric type.
-0.87
First quartile of skewness among attributes of the numeric type.
0.04
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.36
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.
0.09
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.83
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.
-0.2
Mean skewness among attributes of the numeric type.
4.39
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
10.54
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.
-0.16
Second quartile (Median) of skewness among attributes of the numeric type.
0.79
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.91
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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