Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL208

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL208

deactivated ARFF Publicly available Visibility: public Uploaded 16-07-2016 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: CHEMBL208 (TID: 36), and it has 1731 rows and 137 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.

139 features

pXC50 (target)numeric858 unique values
0 missing
molecule_id (row identifier)nominal1731 unique values
0 missing
CATS2D_06_LLnumeric58 unique values
0 missing
CATS2D_04_LLnumeric66 unique values
0 missing
CATS2D_03_LLnumeric58 unique values
0 missing
X4vnumeric1378 unique values
0 missing
X5vnumeric1291 unique values
0 missing
MPC10numeric430 unique values
0 missing
ATS4pnumeric866 unique values
0 missing
ATSC7vnumeric1580 unique values
0 missing
CIC0numeric763 unique values
0 missing
ATS6pnumeric1019 unique values
0 missing
ATS2pnumeric726 unique values
0 missing
C.017numeric5 unique values
0 missing
nR.Ctnumeric5 unique values
0 missing
X3vnumeric1420 unique values
0 missing
ATS5pnumeric953 unique values
0 missing
ATS3pnumeric799 unique values
0 missing
MWC10numeric803 unique values
0 missing
P_VSA_LogP_7numeric111 unique values
0 missing
ATSC6vnumeric1598 unique values
0 missing
MWC08numeric749 unique values
0 missing
TWCnumeric783 unique values
0 missing
MWC09numeric787 unique values
0 missing
SpMin8_Bh.m.numeric574 unique values
0 missing
ATS7pnumeric1078 unique values
0 missing
X1MulPernumeric1279 unique values
0 missing
Eig06_AEA.ed.numeric743 unique values
0 missing
CATS2D_02_LLnumeric51 unique values
0 missing
MWC07numeric735 unique values
0 missing
ATS5vnumeric935 unique values
0 missing
X1Pernumeric1268 unique values
0 missing
CATS2D_01_LLnumeric39 unique values
0 missing
X1Kupnumeric1368 unique values
0 missing
ON1Vnumeric1047 unique values
0 missing
SpMin6_Bh.m.numeric549 unique values
0 missing
SpMax8_Bh.p.numeric541 unique values
0 missing
nBTnumeric85 unique values
0 missing
ATSC8pnumeric1567 unique values
0 missing
ATS3inumeric808 unique values
0 missing
ATS4vnumeric871 unique values
0 missing
SRW10numeric713 unique values
0 missing
TIC3numeric965 unique values
0 missing
nCnumeric37 unique values
0 missing
ATS2vnumeric715 unique values
0 missing
nCrtnumeric9 unique values
0 missing
SM04_EA.ri.numeric818 unique values
0 missing
MPC06numeric228 unique values
0 missing
MPC05numeric176 unique values
0 missing
ATS1inumeric701 unique values
0 missing
ATS3vnumeric787 unique values
0 missing
ATS1vnumeric671 unique values
0 missing
ATS3enumeric803 unique values
0 missing
ATS8enumeric1102 unique values
0 missing
SpMin7_Bh.i.numeric516 unique values
0 missing
Psi_i_1numeric1440 unique values
0 missing
SpMin6_Bh.e.numeric551 unique values
0 missing
ATSC8vnumeric1578 unique values
0 missing
nCtnumeric9 unique values
0 missing
nCrsnumeric14 unique values
0 missing
ATS1pnumeric682 unique values
0 missing
IC3numeric709 unique values
0 missing
ATS1enumeric686 unique values
0 missing
TIC4numeric837 unique values
0 missing
TIC5numeric820 unique values
0 missing
nRCOnumeric4 unique values
0 missing
SM11_EA.ri.numeric1137 unique values
0 missing
SM12_EA.ri.numeric1146 unique values
0 missing
SpMax8_Bh.v.numeric543 unique values
0 missing
SpMin5_Bh.v.numeric514 unique values
0 missing
Eig06_EA.ed.numeric943 unique values
0 missing
SM15_AEA.dm.numeric943 unique values
0 missing
SpMin5_Bh.m.numeric515 unique values
0 missing
SM14_EA.ri.numeric1166 unique values
0 missing
SM15_EA.ri.numeric1177 unique values
0 missing
MWC06numeric692 unique values
0 missing
SM02_EA.ri.numeric685 unique values
0 missing
Senumeric1157 unique values
0 missing
X5numeric1072 unique values
0 missing
Svnumeric1178 unique values
0 missing
Polnumeric78 unique values
0 missing
SpMaxA_EA.bo.numeric150 unique values
0 missing
Spnumeric1086 unique values
0 missing
SM13_EA.ri.numeric1158 unique values
0 missing
Chi1_EA.bo.numeric1179 unique values
0 missing
CATS2D_09_ALnumeric24 unique values
0 missing
SpMin5_Bh.p.numeric516 unique values
0 missing
Psi_i_0numeric1318 unique values
0 missing
X3numeric1091 unique values
0 missing
SIC0numeric200 unique values
0 missing
SpMax7_Bh.p.numeric535 unique values
0 missing
MPC03numeric84 unique values
0 missing
NsssCHnumeric11 unique values
0 missing
SpMin5_Bh.e.numeric560 unique values
0 missing
DLS_02numeric7 unique values
0 missing
X1vnumeric1377 unique values
0 missing
MWC05numeric669 unique values
0 missing
X3solnumeric1095 unique values
0 missing
ATS8vnumeric1138 unique values
0 missing
SM02_EA.ed.numeric486 unique values
0 missing
AMRnumeric1431 unique values
0 missing
Chi0_EA.bo.numeric1141 unique values
0 missing
X4numeric1088 unique values
0 missing
MPC04numeric124 unique values
0 missing
IC4numeric644 unique values
0 missing
SpAD_EA.ri.numeric1559 unique values
0 missing
X5solnumeric1088 unique values
0 missing
VvdwMGnumeric1112 unique values
0 missing
Vxnumeric1112 unique values
0 missing
SpMin5_Bh.i.numeric584 unique values
0 missing
IC5numeric628 unique values
0 missing
C.038numeric4 unique values
0 missing
SRW08numeric670 unique values
0 missing
Eig10_EA.ri.numeric884 unique values
0 missing
MWC03numeric204 unique values
0 missing
ZM2numeric204 unique values
0 missing
BIC0numeric182 unique values
0 missing
SpMax7_Bh.i.numeric553 unique values
0 missing
MWC04numeric416 unique values
0 missing
Eig06_EA.ri.numeric815 unique values
0 missing
SRW06numeric460 unique values
0 missing
X1Madnumeric1374 unique values
0 missing
Eig14_AEA.ed.numeric685 unique values
0 missing
SM03_EA.ri.numeric582 unique values
0 missing
SpMin6_Bh.i.numeric554 unique values
0 missing
X1solnumeric996 unique values
0 missing
SpMax6_Bh.p.numeric576 unique values
0 missing
SpAD_EA.ed.numeric1163 unique values
0 missing
SpMin1_Bh.m.numeric206 unique values
0 missing
SM03_AEA.ed.numeric640 unique values
0 missing
X0vnumeric1290 unique values
0 missing
X4solnumeric1096 unique values
0 missing
SNarnumeric182 unique values
0 missing
Xtnumeric114 unique values
0 missing
RDSQnumeric1170 unique values
0 missing
SsssCHnumeric704 unique values
0 missing
ATSC3inumeric989 unique values
0 missing
SpMax7_Bh.e.numeric559 unique values
0 missing
Eig07_EA.ri.numeric787 unique values
0 missing

62 properties

1731
Number of instances (rows) of the dataset.
139
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.
138
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.
0.08
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
2.08
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.
1.2
Mean skewness among attributes of the numeric type.
5.07
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
7.54
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.
0.87
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.59
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.54
Second quartile (Median) of standard deviation of attributes of the numeric type.
21.43
Maximum kurtosis among attributes of the numeric type.
0.02
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
469.93
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.
9.03
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.
99.28
Percentage of numeric attributes.
12.92
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.79
Minimum skewness among attributes of the numeric type.
0.72
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
3.79
Maximum skewness among attributes of the numeric type.
0.03
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
2.2
Third quartile of skewness among attributes of the numeric type.
117.48
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.41
First quartile of kurtosis among attributes of the numeric type.
3.06
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.
3
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
4.54
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.
24.65
Mean of means among attributes of the numeric type.
0.31
First quartile of skewness among attributes of the numeric type.
-0.05
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.

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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