Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4036

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4036

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: CHEMBL4036 (TID: 12947), and it has 1287 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)numeric160 unique values
0 missing
molecule_id (row identifier)nominal1287 unique values
0 missing
Eig01_AEA.ed.numeric569 unique values
0 missing
SpMax_AEA.ed.numeric569 unique values
0 missing
SpDiam_EA.ed.numeric833 unique values
0 missing
SpDiam_EA.ri.numeric506 unique values
0 missing
Eig01_EAnumeric461 unique values
0 missing
SM09_AEA.bo.numeric461 unique values
0 missing
SpDiam_EAnumeric461 unique values
0 missing
SpMax_EAnumeric461 unique values
0 missing
Eig01_EA.ed.numeric760 unique values
0 missing
SM10_AEA.dm.numeric760 unique values
0 missing
SpMax_EA.ed.numeric760 unique values
0 missing
Eig01_AEA.ri.numeric481 unique values
0 missing
SpMax_AEA.ri.numeric481 unique values
0 missing
SpDiam_AEA.ri.numeric493 unique values
0 missing
Eig01_EA.ri.numeric501 unique values
0 missing
SpMax_EA.ri.numeric501 unique values
0 missing
SM15_EA.ed.numeric972 unique values
0 missing
P_VSA_MR_6numeric1058 unique values
0 missing
SpDiam_AEA.ed.numeric683 unique values
0 missing
SM14_EA.ed.numeric951 unique values
0 missing
SM13_EA.ed.numeric957 unique values
0 missing
SM12_EA.ed.numeric934 unique values
0 missing
SpDiam_AEA.bo.numeric542 unique values
0 missing
Eig01_AEA.bo.numeric453 unique values
0 missing
SpMax_AEA.bo.numeric453 unique values
0 missing
MAXDPnumeric1072 unique values
0 missing
SpMax4_Bh.s.numeric686 unique values
0 missing
SM11_EA.ed.numeric937 unique values
0 missing
SM10_EA.ed.numeric923 unique values
0 missing
Cl.090numeric2 unique values
0 missing
SsssCHnumeric318 unique values
0 missing
Eig01_EA.bo.numeric527 unique values
0 missing
SM11_AEA.ri.numeric527 unique values
0 missing
SpDiam_EA.bo.numeric530 unique values
0 missing
SpMax_EA.bo.numeric527 unique values
0 missing
Eig02_AEA.dm.numeric645 unique values
0 missing
CATS2D_07_DAnumeric7 unique values
0 missing
SM09_EA.ed.numeric894 unique values
0 missing
NaasCnumeric14 unique values
0 missing
GGI3numeric312 unique values
0 missing
Eig05_AEA.ed.numeric783 unique values
0 missing
SaaNHnumeric317 unique values
0 missing
SM08_EA.ed.numeric917 unique values
0 missing
GGI5numeric529 unique values
0 missing
SM15_EA.ri.numeric990 unique values
0 missing
SM15_AEA.ed.numeric901 unique values
0 missing
SM14_EA.ri.numeric947 unique values
0 missing
SpMax2_Bh.s.numeric431 unique values
0 missing
SpMin1_Bh.s.numeric354 unique values
0 missing
GGI4numeric735 unique values
0 missing
nOnumeric9 unique values
0 missing
MATS7inumeric480 unique values
0 missing
SpMAD_AEA.dm.numeric242 unique values
0 missing
piPC05numeric730 unique values
0 missing
DLS_consnumeric47 unique values
0 missing
SpMax3_Bh.p.numeric558 unique values
0 missing
Eig08_EA.bo.numeric735 unique values
0 missing
CATS2D_09_LLnumeric24 unique values
0 missing
nArNHRnumeric4 unique values
0 missing
SM13_EA.ri.numeric963 unique values
0 missing
SM07_EA.ed.numeric889 unique values
0 missing
MWC10numeric761 unique values
0 missing
CATS2D_07_ALnumeric20 unique values
0 missing
piPC04numeric688 unique values
0 missing
TWCnumeric751 unique values
0 missing
N.075numeric7 unique values
0 missing
NaaNnumeric7 unique values
0 missing
ATS4mnumeric797 unique values
0 missing
SM12_EA.ri.numeric947 unique values
0 missing
SM05_AEA.ed.numeric722 unique values
0 missing
SpMax5_Bh.s.numeric738 unique values
0 missing
MWC09numeric735 unique values
0 missing
SM08_EA.ri.numeric856 unique values
0 missing
CATS2D_04_AAnumeric10 unique values
0 missing
NaaNHnumeric4 unique values
0 missing
Eig04_AEA.ed.numeric756 unique values
0 missing
SM10_EA.ri.numeric894 unique values
0 missing
MWC08numeric717 unique values
0 missing
SRW10numeric708 unique values
0 missing
SM14_AEA.ed.numeric891 unique values
0 missing
SM04_EA.ed.numeric783 unique values
0 missing
SM11_EA.ri.numeric920 unique values
0 missing
SaaNnumeric941 unique values
0 missing
piPC06numeric804 unique values
0 missing
SM09_EA.ri.numeric874 unique values
0 missing
SpMax1_Bh.s.numeric215 unique values
0 missing
GATS5pnumeric518 unique values
0 missing
C.033numeric4 unique values
0 missing
SM06_EA.ed.numeric852 unique values
0 missing
Eta_F_Anumeric502 unique values
0 missing
piPC09numeric900 unique values
0 missing
SM06_AEA.ed.numeric742 unique values
0 missing
SM06_EA.ri.numeric797 unique values
0 missing
SM02_EA.ed.numeric412 unique values
0 missing
nCsp2numeric27 unique values
0 missing
nArNH2numeric3 unique values
0 missing
MAXDNnumeric944 unique values
0 missing
C.026numeric9 unique values
0 missing
ATS4snumeric801 unique values
0 missing
MWC07numeric735 unique values
0 missing
GATS1snumeric496 unique values
0 missing
SM08_AEA.ed.numeric786 unique values
0 missing
Eig02_EA.dm.numeric110 unique values
0 missing
GATS2vnumeric391 unique values
0 missing
SpMax8_Bh.s.numeric807 unique values
0 missing
piPC08numeric884 unique values
0 missing
Eta_FLnumeric1093 unique values
0 missing
SM05_EA.ri.numeric790 unique values
0 missing
SM04_AEA.ed.numeric700 unique values
0 missing
SM07_EA.ri.numeric848 unique values
0 missing
SpMax3_Bh.e.numeric518 unique values
0 missing
SM15_EAnumeric908 unique values
0 missing
Eta_betaPnumeric57 unique values
0 missing
Eig07_EA.bo.numeric751 unique values
0 missing
piPC07numeric853 unique values
0 missing
Eig11_AEA.bo.numeric735 unique values
0 missing
SM13_EAnumeric885 unique values
0 missing
SM07_AEA.ed.numeric774 unique values
0 missing
SM14_EAnumeric896 unique values
0 missing
ATSC6pnumeric1201 unique values
0 missing
SM13_AEA.ed.numeric882 unique values
0 missing
SM03_AEA.ed.numeric603 unique values
0 missing
SM05_EA.ed.numeric824 unique values
0 missing
SM09_AEA.ed.numeric813 unique values
0 missing
Eig07_AEA.bo.numeric692 unique values
0 missing
Uinumeric32 unique values
0 missing
SpMax3_Bh.i.numeric502 unique values
0 missing
SM12_EAnumeric889 unique values
0 missing
SM11_EAnumeric849 unique values
0 missing
CATS2D_05_DLnumeric18 unique values
0 missing
SM10_AEA.ed.numeric819 unique values
0 missing
SM11_AEA.ed.numeric850 unique values
0 missing
P_VSA_LogP_3numeric235 unique values
0 missing
Eig04_AEA.bo.numeric655 unique values
0 missing
Eig07_AEA.dm.numeric796 unique values
0 missing
SpMax7_Bh.v.numeric642 unique values
0 missing
O.numeric104 unique values
0 missing
SM10_EAnumeric827 unique values
0 missing
CATS2D_05_LLnumeric26 unique values
0 missing

62 properties

1287
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.
0
Percentage of binary attributes.
0.52
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.52
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
37.96
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
1.67
Third quartile of kurtosis among attributes of the numeric type.
97.73
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
99.29
Percentage of numeric attributes.
12.51
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.
0.71
Percentage of nominal 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.
-3.6
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
0.27
Third quartile of skewness among attributes of the numeric type.
5.01
Maximum skewness among attributes of the numeric type.
0.05
Minimum standard deviation of attributes of the numeric type.
0.75
First quartile of kurtosis among attributes of the numeric type.
0.9
Third quartile of standard deviation of attributes of the numeric type.
38.97
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
3.14
First quartile of means 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.
First quartile of mutual information between the nominal attributes and the target attribute.
1.99
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
-0.45
First quartile of skewness among attributes of the numeric type.
9.61
Mean of means among attributes of the numeric type.
0.31
First quartile of standard deviation of attributes of the numeric type.
0.18
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among 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.
1.17
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.11
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
5.92
Second quartile (Median) of means 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.
-0.07
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
1.31
Mean standard deviation of attributes of the numeric type.
-0.33
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among 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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