Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075028

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1075028

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: CHEMBL1075028 (TID: 102979), and it has 44 rows and 125 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.

127 features

pXC50 (target)numeric44 unique values
0 missing
molecule_id (row identifier)nominal44 unique values
0 missing
GNarnumeric31 unique values
0 missing
Hynumeric39 unique values
0 missing
GATS8inumeric25 unique values
0 missing
HNarnumeric30 unique values
0 missing
X0Anumeric27 unique values
0 missing
X1Anumeric25 unique values
0 missing
Eig06_AEA.ed.numeric31 unique values
0 missing
Eig07_AEA.ed.numeric23 unique values
0 missing
Eig07_AEA.ri.numeric23 unique values
0 missing
Eig08_AEA.bo.numeric24 unique values
0 missing
Eig09_AEA.bo.numeric29 unique values
0 missing
Eig10_AEA.ed.numeric29 unique values
0 missing
Eig12_AEA.ed.numeric20 unique values
0 missing
MPC06numeric32 unique values
0 missing
MPC08numeric25 unique values
0 missing
piIDnumeric36 unique values
0 missing
piPC02numeric33 unique values
0 missing
piPC08numeric26 unique values
0 missing
SM02_EA.bo.numeric33 unique values
0 missing
SM02_EA.ri.numeric39 unique values
0 missing
SM04_EA.ri.numeric42 unique values
0 missing
SNarnumeric31 unique values
0 missing
SpAD_EA.bo.numeric36 unique values
0 missing
SpAD_EA.ri.numeric42 unique values
0 missing
TPCnumeric32 unique values
0 missing
Wapnumeric33 unique values
0 missing
X3numeric35 unique values
0 missing
BBInumeric25 unique values
0 missing
Eig03_AEA.ed.numeric36 unique values
0 missing
Eig03_EA.ed.numeric36 unique values
0 missing
Eig05_AEA.dm.numeric38 unique values
0 missing
Eig11_AEA.ed.numeric26 unique values
0 missing
MPC02numeric25 unique values
0 missing
MPC03numeric26 unique values
0 missing
MPC05numeric29 unique values
0 missing
MWC02numeric30 unique values
0 missing
MWC03numeric34 unique values
0 missing
MWC04numeric33 unique values
0 missing
MWC05numeric34 unique values
0 missing
RDSQnumeric36 unique values
0 missing
SM02_AEA.bo.numeric33 unique values
0 missing
SM02_AEA.ed.numeric33 unique values
0 missing
SM02_EAnumeric25 unique values
0 missing
SM02_EA.ed.numeric33 unique values
0 missing
SM03_AEA.bo.numeric33 unique values
0 missing
SM03_AEA.ed.numeric35 unique values
0 missing
SM04_AEA.bo.numeric35 unique values
0 missing
SM04_EAnumeric34 unique values
0 missing
SM05_AEA.bo.numeric35 unique values
0 missing
SM12_AEA.dm.numeric36 unique values
0 missing
SpAD_AEA.bo.numeric36 unique values
0 missing
SpAD_AEA.ed.numeric36 unique values
0 missing
SpAD_AEA.ri.numeric42 unique values
0 missing
SpAD_EAnumeric36 unique values
0 missing
SpAD_EA.ed.numeric36 unique values
0 missing
SRW04numeric30 unique values
0 missing
SRW06numeric35 unique values
0 missing
SRW08numeric36 unique values
0 missing
SRW10numeric36 unique values
0 missing
X4numeric35 unique values
0 missing
X5numeric35 unique values
0 missing
ZM1numeric30 unique values
0 missing
ZM2numeric34 unique values
0 missing
GATS5inumeric38 unique values
0 missing
Eig05_AEA.bo.numeric34 unique values
0 missing
MPC04numeric24 unique values
0 missing
MWC09numeric36 unique values
0 missing
MWC10numeric36 unique values
0 missing
Polnumeric23 unique values
0 missing
Qindexnumeric16 unique values
0 missing
SM04_EA.bo.numeric35 unique values
0 missing
SM05_EA.bo.numeric32 unique values
0 missing
SM06_AEA.bo.numeric35 unique values
0 missing
SM07_AEA.bo.numeric36 unique values
0 missing
SM08_AEA.bo.numeric34 unique values
0 missing
TWCnumeric36 unique values
0 missing
Eta_betaPnumeric19 unique values
0 missing
Eig04_EA.ri.numeric36 unique values
0 missing
X4solnumeric37 unique values
0 missing
Eig05_AEA.ed.numeric33 unique values
0 missing
Eig05_AEA.ri.numeric38 unique values
0 missing
Eig05_EA.ed.numeric33 unique values
0 missing
Eig05_EA.ri.numeric37 unique values
0 missing
SM03_EA.ri.numeric30 unique values
0 missing
SM04_AEA.ed.numeric34 unique values
0 missing
SM06_EAnumeric36 unique values
0 missing
SM14_AEA.dm.numeric33 unique values
0 missing
ZM1Madnumeric42 unique values
0 missing
ATS2mnumeric42 unique values
0 missing
ZM2Madnumeric43 unique values
0 missing
Eig11_AEA.ri.numeric23 unique values
0 missing
Eig11_EAnumeric20 unique values
0 missing
Eig11_EA.ed.numeric21 unique values
0 missing
Eig11_EA.ri.numeric27 unique values
0 missing
SM05_AEA.dm.numeric20 unique values
0 missing
SM06_AEA.ri.numeric21 unique values
0 missing
nCICnumeric4 unique values
0 missing
nCIRnumeric6 unique values
0 missing
Rperimnumeric8 unique values
0 missing
TRSnumeric7 unique values
0 missing
MPC07numeric29 unique values
0 missing
MPC09numeric17 unique values
0 missing
piPC09numeric20 unique values
0 missing
SM05_AEA.ed.numeric35 unique values
0 missing
SM06_AEA.ed.numeric33 unique values
0 missing
Eig05_EA.bo.numeric33 unique values
0 missing
Eta_betanumeric31 unique values
0 missing
IC5numeric37 unique values
0 missing
piPC07numeric32 unique values
0 missing
SM15_AEA.ri.numeric33 unique values
0 missing
X5solnumeric37 unique values
0 missing
Xindexnumeric35 unique values
0 missing
Eta_sh_pnumeric41 unique values
0 missing
Eig15_AEA.dm.numeric12 unique values
0 missing
ATS1vnumeric40 unique values
0 missing
ATS2vnumeric40 unique values
0 missing
BIDnumeric33 unique values
0 missing
CENTnumeric35 unique values
0 missing
Chi0_AEA.bo.numeric34 unique values
0 missing
Chi0_AEA.dm.numeric34 unique values
0 missing
Chi0_AEA.ed.numeric34 unique values
0 missing
Chi0_AEA.ri.numeric34 unique values
0 missing
Chi0_EAnumeric34 unique values
0 missing
Chi0_EA.bo.numeric34 unique values
0 missing
Chi0_EA.ri.numeric42 unique values
0 missing

62 properties

44
Number of instances (rows) of the dataset.
127
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.
126
Number of numeric attributes.
1
Number of nominal attributes.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
2.01
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
3.19
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.
27.71
Mean of means among attributes of the numeric type.
-1.99
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.72
First quartile of standard deviation of attributes of the numeric type.
-0.02
Average class difference between consecutive instances.
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.
Entropy of the target attribute values.
Average number of distinct values among the attributes of the nominal type.
0.67
Second quartile (Median) of kurtosis among attributes of the numeric type.
2.89
Number of attributes divided by the number of instances.
-0.78
Mean skewness among attributes of the numeric type.
4.5
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.
26.8
Mean standard deviation of 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.
Minimal entropy among attributes.
-0.29
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
-1.77
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
1.18
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
14
Maximum kurtosis among attributes of the numeric type.
-3.11
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
1941.55
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.
6.58
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.
99.21
Percentage of numeric attributes.
9.07
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.7
Minimum skewness among attributes of the numeric type.
0.79
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
3.12
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.
0.28
Third quartile of skewness among attributes of the numeric type.
2575.46
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.34
First quartile of kurtosis among attributes of the numeric type.
2.99
Third 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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