Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1293289

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1293289

deactivated ARFF Publicly available Visibility: public Uploaded 14-07-2016 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: CHEMBL1293289 (TID: 103722), and it has 74 rows and 121 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.

123 features

pXC50 (target)numeric56 unique values
0 missing
molecule_id (row identifier)nominal74 unique values
0 missing
ATS8enumeric71 unique values
0 missing
Eta_Cnumeric71 unique values
0 missing
ATSC8pnumeric71 unique values
0 missing
ATS6enumeric65 unique values
0 missing
ATS6inumeric66 unique values
0 missing
ATS8pnumeric66 unique values
0 missing
ATSC8vnumeric71 unique values
0 missing
ATS8inumeric69 unique values
0 missing
ATS5inumeric67 unique values
0 missing
ATS4pnumeric65 unique values
0 missing
ATS5enumeric67 unique values
0 missing
ATSC2inumeric58 unique values
0 missing
ATSC3inumeric60 unique values
0 missing
ATSC8inumeric69 unique values
0 missing
CIC0numeric57 unique values
0 missing
ATS4vnumeric69 unique values
0 missing
ATS5pnumeric69 unique values
0 missing
ATS5vnumeric68 unique values
0 missing
ATS6pnumeric65 unique values
0 missing
ATS7enumeric69 unique values
0 missing
ATSC5inumeric69 unique values
0 missing
ATS7pnumeric68 unique values
0 missing
ATS4enumeric65 unique values
0 missing
ATS7inumeric69 unique values
0 missing
ATS3pnumeric60 unique values
0 missing
ATS8vnumeric68 unique values
0 missing
ON0Vnumeric60 unique values
0 missing
ATS1pnumeric59 unique values
0 missing
ATS2pnumeric60 unique values
0 missing
ATSC4inumeric69 unique values
0 missing
SpMin5_Bh.i.numeric34 unique values
0 missing
ATS7vnumeric70 unique values
0 missing
SpMin6_Bh.i.numeric31 unique values
0 missing
ATSC6vnumeric70 unique values
0 missing
ATS3vnumeric65 unique values
0 missing
Eig05_EA.bo.numeric44 unique values
0 missing
Eig08_EA.bo.numeric46 unique values
0 missing
Eig09_EA.ed.numeric49 unique values
0 missing
Eig11_AEA.ed.numeric46 unique values
0 missing
piPC01numeric34 unique values
0 missing
SCBOnumeric34 unique values
0 missing
SM02_AEA.bo.numeric45 unique values
0 missing
SM04_AEA.ri.numeric49 unique values
0 missing
SM15_AEA.ri.numeric44 unique values
0 missing
Wapnumeric49 unique values
0 missing
ATS6snumeric70 unique values
0 missing
ATSC6inumeric67 unique values
0 missing
X3solnumeric54 unique values
0 missing
nBTnumeric31 unique values
0 missing
SM04_AEA.ed.numeric50 unique values
0 missing
ATSC7pnumeric71 unique values
0 missing
CATS2D_08_ALnumeric12 unique values
0 missing
Eig05_AEA.bo.numeric41 unique values
0 missing
Eig07_AEA.ri.numeric56 unique values
0 missing
Eig07_EA.ri.numeric59 unique values
0 missing
GGI4numeric53 unique values
0 missing
MPC03numeric33 unique values
0 missing
MPC04numeric36 unique values
0 missing
MPC05numeric35 unique values
0 missing
MPC06numeric40 unique values
0 missing
MPC07numeric41 unique values
0 missing
MPC08numeric45 unique values
0 missing
MPC09numeric48 unique values
0 missing
MPC10numeric47 unique values
0 missing
MWC05numeric53 unique values
0 missing
MWC06numeric53 unique values
0 missing
MWC07numeric52 unique values
0 missing
Polnumeric31 unique values
0 missing
SpMaxA_AEA.dm.numeric39 unique values
0 missing
SRW08numeric53 unique values
0 missing
TPCnumeric47 unique values
0 missing
X5numeric55 unique values
0 missing
ZM2Pernumeric71 unique values
0 missing
ZM2Vnumeric53 unique values
0 missing
ATS6vnumeric68 unique values
0 missing
ATSC1inumeric57 unique values
0 missing
Chi1_EA.bo.numeric58 unique values
0 missing
Eta_epsinumeric58 unique values
0 missing
GGI7numeric46 unique values
0 missing
SM02_EA.ed.numeric49 unique values
0 missing
X1MulPernumeric70 unique values
0 missing
X1Pernumeric70 unique values
0 missing
ATSC8mnumeric71 unique values
0 missing
SpMin5_Bh.m.numeric36 unique values
0 missing
X1Kupnumeric65 unique values
0 missing
SpMin6_Bh.e.numeric39 unique values
0 missing
SpMin3_Bh.m.numeric40 unique values
0 missing
SpMin3_Bh.s.numeric50 unique values
0 missing
SpMin8_Bh.p.numeric41 unique values
0 missing
MWC08numeric53 unique values
0 missing
MWC09numeric53 unique values
0 missing
MWC10numeric54 unique values
0 missing
TWCnumeric51 unique values
0 missing
Eig06_EA.bo.numeric41 unique values
0 missing
Psi_e_0numeric70 unique values
0 missing
SpMax1_Bh.i.numeric42 unique values
0 missing
Eig11_AEA.dm.numeric56 unique values
0 missing
MWC04numeric51 unique values
0 missing
RDSQnumeric55 unique values
0 missing
SpAD_AEA.ed.numeric55 unique values
0 missing
SpMaxA_AEA.bo.numeric34 unique values
0 missing
SpMaxA_EAnumeric35 unique values
0 missing
SpMax8_Bh.v.numeric45 unique values
0 missing
X0vnumeric63 unique values
0 missing
Spnumeric58 unique values
0 missing
SpMin4_Bh.p.numeric30 unique values
0 missing
ATS2mnumeric59 unique values
0 missing
Eig06_AEA.dm.numeric32 unique values
0 missing
SpMax4_Bh.i.numeric59 unique values
0 missing
AMRnumeric65 unique values
0 missing
ATS8mnumeric70 unique values
0 missing
Eig08_EA.ri.numeric55 unique values
0 missing
SpMaxA_AEA.ed.numeric40 unique values
0 missing
Svnumeric58 unique values
0 missing
X0solnumeric40 unique values
0 missing
ATS2vnumeric61 unique values
0 missing
ATS1snumeric60 unique values
0 missing
ATSC7inumeric69 unique values
0 missing
Eig05_AEA.dm.numeric46 unique values
0 missing
Eig07_AEA.bo.numeric44 unique values
0 missing
Eig07_EAnumeric41 unique values
0 missing

62 properties

74
Number of instances (rows) of the dataset.
123
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.
122
Number of numeric attributes.
1
Number of nominal attributes.
2
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.
-0.05
Third quartile of skewness among attributes of the numeric type.
16677.03
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.1
First quartile of kurtosis among attributes of the numeric type.
1.26
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.
2.25
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
1.75
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.
146.71
Mean of means among attributes of the numeric type.
-1.05
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.24
First quartile of standard deviation of attributes of the numeric type.
0.46
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.
0.79
Second quartile (Median) of kurtosis among attributes of the numeric type.
1.66
Number of attributes divided by the number of instances.
-0.6
Mean skewness among attributes of the numeric type.
4.06
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.
140.04
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.
-0.5
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.72
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.35
Second quartile (Median) of standard deviation of attributes of the numeric type.
28.74
Maximum kurtosis among attributes of the numeric type.
0.13
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
15761.55
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.
1.82
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.
99.19
Percentage of numeric attributes.
8.46
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-4.41
Minimum skewness among attributes of the numeric type.
0.81
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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