Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3739

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3739

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: CHEMBL3739 (TID: 11892), and it has 12 rows and 161 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.

163 features

pXC50 (target)numeric10 unique values
0 missing
molecule_id (row identifier)nominal12 unique values
0 missing
AECCnumeric9 unique values
0 missing
AMRnumeric11 unique values
0 missing
AMWnumeric11 unique values
0 missing
ATS1enumeric11 unique values
0 missing
ATS1inumeric11 unique values
0 missing
ATS1mnumeric11 unique values
0 missing
ATS1pnumeric11 unique values
0 missing
ATS1vnumeric11 unique values
0 missing
ATS2enumeric11 unique values
0 missing
ATS2inumeric11 unique values
0 missing
ATS2mnumeric11 unique values
0 missing
ATS2pnumeric11 unique values
0 missing
ATS2vnumeric11 unique values
0 missing
ATS3enumeric11 unique values
0 missing
ATS3inumeric11 unique values
0 missing
ATS3mnumeric10 unique values
0 missing
ATS3pnumeric11 unique values
0 missing
ATS3snumeric11 unique values
0 missing
ATS3vnumeric11 unique values
0 missing
ATS4enumeric11 unique values
0 missing
ATS4mnumeric11 unique values
0 missing
ATS4pnumeric11 unique values
0 missing
ATS4snumeric11 unique values
0 missing
ATS4vnumeric11 unique values
0 missing
ATS5enumeric11 unique values
0 missing
ATS5inumeric11 unique values
0 missing
ATS5mnumeric11 unique values
0 missing
ATS5pnumeric11 unique values
0 missing
ATS5vnumeric11 unique values
0 missing
ATS6enumeric10 unique values
0 missing
ATS6inumeric11 unique values
0 missing
ATS6mnumeric11 unique values
0 missing
ATS6pnumeric11 unique values
0 missing
ATS6snumeric11 unique values
0 missing
ATS6vnumeric11 unique values
0 missing
ATS7enumeric11 unique values
0 missing
ATS7inumeric11 unique values
0 missing
ATS7mnumeric11 unique values
0 missing
ATS7pnumeric11 unique values
0 missing
ATS7snumeric11 unique values
0 missing
ATS7vnumeric11 unique values
0 missing
ATS8enumeric11 unique values
0 missing
ATS8inumeric11 unique values
0 missing
ATS8mnumeric10 unique values
0 missing
ATS8pnumeric11 unique values
0 missing
ATS8snumeric12 unique values
0 missing
ATS8vnumeric11 unique values
0 missing
ATSC1inumeric11 unique values
0 missing
ATSC1pnumeric11 unique values
0 missing
ATSC2inumeric11 unique values
0 missing
ATSC2mnumeric11 unique values
0 missing
ATSC2pnumeric11 unique values
0 missing
ATSC3inumeric11 unique values
0 missing
ATSC3pnumeric11 unique values
0 missing
ATSC4inumeric11 unique values
0 missing
ATSC4pnumeric11 unique values
0 missing
ATSC5inumeric11 unique values
0 missing
ATSC5mnumeric11 unique values
0 missing
ATSC5pnumeric11 unique values
0 missing
ATSC5vnumeric11 unique values
0 missing
ATSC6inumeric11 unique values
0 missing
ATSC6mnumeric11 unique values
0 missing
ATSC6pnumeric11 unique values
0 missing
ATSC6vnumeric11 unique values
0 missing
ATSC7inumeric11 unique values
0 missing
ATSC7mnumeric11 unique values
0 missing
ATSC7pnumeric11 unique values
0 missing
ATSC7vnumeric11 unique values
0 missing
ATSC8inumeric12 unique values
0 missing
ATSC8mnumeric12 unique values
0 missing
ATSC8pnumeric12 unique values
0 missing
ATSC8vnumeric12 unique values
0 missing
BACnumeric9 unique values
0 missing
BBInumeric9 unique values
0 missing
BIDnumeric9 unique values
0 missing
BLInumeric11 unique values
0 missing
C.001numeric6 unique values
0 missing
CATS2D_04_DAnumeric4 unique values
0 missing
CATS2D_04_DDnumeric4 unique values
0 missing
CATS2D_05_LLnumeric3 unique values
0 missing
CATS2D_07_DDnumeric3 unique values
0 missing
CATS2D_07_DLnumeric8 unique values
0 missing
CATS2D_08_ALnumeric6 unique values
0 missing
CENTnumeric9 unique values
0 missing
Chi0_AEA.bo.numeric9 unique values
0 missing
Chi0_AEA.dm.numeric9 unique values
0 missing
Chi0_AEA.ed.numeric9 unique values
0 missing
Chi0_AEA.ri.numeric9 unique values
0 missing
Chi0_EAnumeric9 unique values
0 missing
Chi0_EA.bo.numeric10 unique values
0 missing
Chi0_EA.ed.numeric9 unique values
0 missing
Chi0_EA.ri.numeric11 unique values
0 missing
Chi1_AEA.bo.numeric9 unique values
0 missing
Chi1_AEA.dm.numeric9 unique values
0 missing
Chi1_AEA.ed.numeric9 unique values
0 missing
Chi1_AEA.ri.numeric9 unique values
0 missing
Chi1_EAnumeric9 unique values
0 missing
Chi1_EA.bo.numeric10 unique values
0 missing
Chi1_EA.ed.numeric9 unique values
0 missing
Chi1_EA.ri.numeric11 unique values
0 missing
CIC0numeric10 unique values
0 missing
CIDnumeric9 unique values
0 missing
CSInumeric9 unique values
0 missing
D.Dtr06numeric9 unique values
0 missing
ECCnumeric9 unique values
0 missing
Eig01_AEA.dm.numeric10 unique values
0 missing
Eig02_AEA.bo.numeric9 unique values
0 missing
Eig02_AEA.dm.numeric10 unique values
0 missing
Eig02_AEA.ed.numeric7 unique values
0 missing
Eig02_AEA.ri.numeric8 unique values
0 missing
Eig02_EAnumeric8 unique values
0 missing
Eig02_EA.ed.numeric9 unique values
0 missing
Eig02_EA.ri.numeric10 unique values
0 missing
Eig03_AEA.bo.numeric10 unique values
0 missing
Eig03_AEA.dm.numeric10 unique values
0 missing
Eig03_AEA.ed.numeric8 unique values
0 missing
Eig03_AEA.ri.numeric8 unique values
0 missing
Eig03_EAnumeric7 unique values
0 missing
Eig03_EA.bo.numeric8 unique values
0 missing
Eig03_EA.ed.numeric9 unique values
0 missing
Eig03_EA.ri.numeric10 unique values
0 missing
Eig04_AEA.bo.numeric9 unique values
0 missing
Eig04_AEA.ed.numeric9 unique values
0 missing
Eig04_EA.bo.numeric9 unique values
0 missing
Eig04_EA.ed.numeric9 unique values
0 missing
Eig05_AEA.bo.numeric9 unique values
0 missing
Eig05_AEA.ed.numeric9 unique values
0 missing
Eig05_AEA.ri.numeric10 unique values
0 missing
Eig05_EAnumeric9 unique values
0 missing
Eig05_EA.bo.numeric10 unique values
0 missing
Eig05_EA.ed.numeric9 unique values
0 missing
Eig05_EA.ri.numeric10 unique values
0 missing
Eig06_AEA.bo.numeric9 unique values
0 missing
Eig06_AEA.dm.numeric11 unique values
0 missing
Eig06_AEA.ed.numeric9 unique values
0 missing
Eig06_AEA.ri.numeric9 unique values
0 missing
Eig06_EAnumeric9 unique values
0 missing
Eig06_EA.ed.numeric9 unique values
0 missing
Eig06_EA.ri.numeric11 unique values
0 missing
Eig07_AEA.ed.numeric9 unique values
0 missing
Eig07_AEA.ri.numeric11 unique values
0 missing
Eig07_EAnumeric9 unique values
0 missing
Eig07_EA.bo.numeric9 unique values
0 missing
Eig07_EA.ed.numeric9 unique values
0 missing
Eig07_EA.ri.numeric11 unique values
0 missing
Eig08_EA.bo.numeric10 unique values
0 missing
Eig10_EAnumeric7 unique values
0 missing
Eig10_EA.ed.numeric9 unique values
0 missing
Eig11_AEA.dm.numeric8 unique values
0 missing
Eig11_AEA.ed.numeric8 unique values
0 missing
Eig11_AEA.ri.numeric8 unique values
0 missing
Eig12_EAnumeric8 unique values
0 missing
Eig13_AEA.ed.numeric8 unique values
0 missing
Eig13_EAnumeric9 unique values
0 missing
Eig13_EA.ri.numeric10 unique values
0 missing
Eig14_AEA.bo.numeric9 unique values
0 missing
Eig14_AEA.dm.numeric10 unique values
0 missing
Eig14_AEA.ed.numeric9 unique values
0 missing
Eig14_AEA.ri.numeric9 unique values
0 missing
Eig14_EAnumeric8 unique values
0 missing
Eig14_EA.bo.numeric9 unique values
0 missing

62 properties

12
Number of instances (rows) of the dataset.
163
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.
162
Number of numeric attributes.
1
Number of nominal attributes.
Third quartile of entropy among attributes.
11.07
Maximum kurtosis among attributes of the numeric type.
0.93
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
1.9
Third quartile of kurtosis among attributes of the numeric type.
14425.17
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.
13.85
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.
99.39
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.
-1.98
Minimum skewness among attributes of the numeric type.
0.61
Percentage of nominal attributes.
1.46
Third quartile of skewness among attributes of the numeric type.
3.29
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.53
Third quartile of standard deviation of attributes of the numeric type.
4914.95
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.32
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.
3.85
First quartile of means among attributes of the numeric type.
1.24
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.
137.56
Mean of means among attributes of the numeric type.
0.86
First quartile of skewness among attributes of the numeric type.
0.83
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.09
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.
13.58
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
1.17
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.
1.04
Mean skewness among attributes of the numeric type.
5.11
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
38.75
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.
1.28
Second quartile (Median) of skewness among attributes of the numeric type.
0.12
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-2.24
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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