Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1250368

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1250368

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: CHEMBL1250368 (TID: 103501), and it has 31 rows and 117 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.

119 features

pXC50 (target)numeric17 unique values
0 missing
molecule_id (row identifier)nominal31 unique values
0 missing
P_VSA_MR_2numeric11 unique values
0 missing
GATS5pnumeric30 unique values
0 missing
GATS5vnumeric30 unique values
0 missing
MATS5pnumeric28 unique values
0 missing
SpMax5_Bh.m.numeric29 unique values
0 missing
nArOHnumeric3 unique values
0 missing
NsOHnumeric4 unique values
0 missing
O.057numeric3 unique values
0 missing
SsOHnumeric24 unique values
0 missing
ATS8inumeric30 unique values
0 missing
ATSC8vnumeric31 unique values
0 missing
MATS4vnumeric31 unique values
0 missing
ATS6vnumeric30 unique values
0 missing
ATS7pnumeric31 unique values
0 missing
ATS7vnumeric31 unique values
0 missing
ATS8enumeric31 unique values
0 missing
ATSC8pnumeric31 unique values
0 missing
Chi0_EA.ed.numeric27 unique values
0 missing
Chi1_EA.ed.numeric28 unique values
0 missing
Eig08_AEA.ri.numeric27 unique values
0 missing
Eig08_EAnumeric22 unique values
0 missing
Eig08_EA.ri.numeric24 unique values
0 missing
SM02_AEA.dm.numeric22 unique values
0 missing
Eta_sh_ynumeric30 unique values
0 missing
Eig06_EA.bo.numeric25 unique values
0 missing
GGI9numeric21 unique values
0 missing
MATS5vnumeric28 unique values
0 missing
SpMax3_Bh.p.numeric23 unique values
0 missing
SpMax3_Bh.v.numeric26 unique values
0 missing
AMRnumeric30 unique values
0 missing
ATS1pnumeric30 unique values
0 missing
ATS1vnumeric30 unique values
0 missing
ATS5pnumeric30 unique values
0 missing
ATS6pnumeric31 unique values
0 missing
ATS8pnumeric30 unique values
0 missing
ATS8vnumeric31 unique values
0 missing
ATSC7pnumeric31 unique values
0 missing
ATSC7vnumeric31 unique values
0 missing
ATSC8inumeric30 unique values
0 missing
ATSC8mnumeric31 unique values
0 missing
Eta_alphanumeric30 unique values
0 missing
Psi_i_0numeric30 unique values
0 missing
P_VSA_e_2numeric29 unique values
0 missing
S2Knumeric28 unique values
0 missing
S3Knumeric30 unique values
0 missing
Senumeric30 unique values
0 missing
Spnumeric30 unique values
0 missing
SpMax8_Bh.i.numeric24 unique values
0 missing
SpMin8_Bh.e.numeric24 unique values
0 missing
SpMin8_Bh.m.numeric30 unique values
0 missing
SpMin8_Bh.p.numeric26 unique values
0 missing
SpMin8_Bh.s.numeric11 unique values
0 missing
SpMin8_Bh.v.numeric27 unique values
0 missing
Svnumeric30 unique values
0 missing
VvdwMGnumeric30 unique values
0 missing
VvdwZAZnumeric30 unique values
0 missing
Vxnumeric30 unique values
0 missing
X0vnumeric30 unique values
0 missing
X1Kupnumeric31 unique values
0 missing
X1solnumeric26 unique values
0 missing
X1vnumeric31 unique values
0 missing
X2vnumeric31 unique values
0 missing
CATS2D_06_LLnumeric10 unique values
0 missing
Eig08_AEA.bo.numeric23 unique values
0 missing
Eig08_EA.bo.numeric26 unique values
0 missing
Eig08_EA.ed.numeric24 unique values
0 missing
Eig13_EAnumeric21 unique values
0 missing
Eig15_EA.ri.numeric29 unique values
0 missing
IC5numeric27 unique values
0 missing
PHInumeric29 unique values
0 missing
P_VSA_m_2numeric30 unique values
0 missing
S1Knumeric28 unique values
0 missing
SM03_AEA.ri.numeric24 unique values
0 missing
SM07_AEA.dm.numeric21 unique values
0 missing
Eig07_AEA.bo.numeric25 unique values
0 missing
Eig07_EA.bo.numeric25 unique values
0 missing
Eig12_EAnumeric25 unique values
0 missing
Eig12_EA.bo.numeric26 unique values
0 missing
Eig13_AEA.ri.numeric30 unique values
0 missing
Eig13_EA.ed.numeric21 unique values
0 missing
P_VSA_e_5numeric11 unique values
0 missing
P_VSA_m_3numeric13 unique values
0 missing
SAdonnumeric8 unique values
0 missing
SM06_AEA.dm.numeric25 unique values
0 missing
SM08_AEA.ri.numeric21 unique values
0 missing
GATS1inumeric30 unique values
0 missing
ATS2pnumeric30 unique values
0 missing
ATS2vnumeric30 unique values
0 missing
ATSC7inumeric30 unique values
0 missing
ISIZnumeric16 unique values
0 missing
nATnumeric16 unique values
0 missing
nBTnumeric17 unique values
0 missing
nCnumeric10 unique values
0 missing
Sinumeric30 unique values
0 missing
SpMax8_Bh.e.numeric26 unique values
0 missing
SpMax8_Bh.m.numeric27 unique values
0 missing
SpMax8_Bh.p.numeric25 unique values
0 missing
SpMax8_Bh.v.numeric25 unique values
0 missing
SpMin8_Bh.i.numeric19 unique values
0 missing
ATS7mnumeric28 unique values
0 missing
HDcpxnumeric22 unique values
0 missing
SpMax7_Bh.m.numeric26 unique values
0 missing
XMODnumeric31 unique values
0 missing
CENTnumeric26 unique values
0 missing
Eig11_AEA.bo.numeric22 unique values
0 missing
GATS3inumeric29 unique values
0 missing
SpMin3_Bh.p.numeric30 unique values
0 missing
SpMin3_Bh.i.numeric25 unique values
0 missing
AACnumeric29 unique values
0 missing
AECCnumeric26 unique values
0 missing
ALOGPnumeric29 unique values
0 missing
ALOGP2numeric30 unique values
0 missing
AMWnumeric30 unique values
0 missing
ARRnumeric17 unique values
0 missing
ATS1enumeric30 unique values
0 missing
ATS1inumeric29 unique values
0 missing
ATS1mnumeric29 unique values
0 missing

62 properties

31
Number of instances (rows) of the dataset.
119
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.
118
Number of numeric attributes.
1
Number of nominal attributes.
2.65
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.
0.78
Third quartile of skewness among attributes of the numeric type.
303
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.3
First quartile of kurtosis among attributes of the numeric type.
1.88
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.
0.95
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
0.78
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.
22.98
Mean of means among attributes of the numeric type.
-0.33
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.27
First quartile of standard deviation of attributes of the numeric type.
-0.47
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.
0.3
Second quartile (Median) of kurtosis among attributes of the numeric type.
3.84
Number of attributes divided by the number of instances.
0.22
Mean skewness among attributes of the numeric type.
3.22
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.
Percentage of instances belonging to the most frequent class.
6.9
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.
0.28
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.32
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.
9.09
Maximum kurtosis among attributes of the numeric type.
-1.85
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
604.65
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.
1.48
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.
99.16
Percentage of numeric attributes.
8.63
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.65
Minimum skewness among attributes of the numeric type.
0.84
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.

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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