Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163102

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1163102

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: CHEMBL1163102 (TID: 103431), and it has 13 rows and 163 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.

165 features

pXC50 (target)numeric4 unique values
0 missing
molecule_id (row identifier)nominal13 unique values
0 missing
AACnumeric13 unique values
0 missing
ATS2pnumeric13 unique values
0 missing
ATS2vnumeric13 unique values
0 missing
ATS3pnumeric13 unique values
0 missing
ATS3vnumeric13 unique values
0 missing
ATS4pnumeric13 unique values
0 missing
ATS4vnumeric13 unique values
0 missing
ATSC2inumeric13 unique values
0 missing
ATSC2pnumeric13 unique values
0 missing
ATSC3inumeric13 unique values
0 missing
ATSC3pnumeric13 unique values
0 missing
ATSC4inumeric13 unique values
0 missing
ATSC4pnumeric13 unique values
0 missing
ATSC4vnumeric13 unique values
0 missing
ATSC5inumeric13 unique values
0 missing
ATSC5pnumeric13 unique values
0 missing
BIC5numeric13 unique values
0 missing
C.002numeric8 unique values
0 missing
C.024numeric3 unique values
0 missing
C.025numeric3 unique values
0 missing
CATS2D_01_LLnumeric9 unique values
0 missing
CATS2D_02_LLnumeric10 unique values
0 missing
CATS2D_03_LLnumeric9 unique values
0 missing
CATS2D_05_LLnumeric7 unique values
0 missing
CATS2D_06_LLnumeric7 unique values
0 missing
CATS2D_07_LLnumeric6 unique values
0 missing
CATS2D_08_ALnumeric6 unique values
0 missing
Chi1_EA.dm.numeric8 unique values
0 missing
CIC1numeric13 unique values
0 missing
D.Dtr05numeric8 unique values
0 missing
Eig02_EA.bo.numeric9 unique values
0 missing
Eig02_EA.dm.numeric3 unique values
0 missing
Eig05_EA.ri.numeric12 unique values
0 missing
Eig06_AEA.ri.numeric11 unique values
0 missing
Eig06_EA.ri.numeric11 unique values
0 missing
Eig08_EA.ri.numeric12 unique values
0 missing
Eig09_AEA.ri.numeric12 unique values
0 missing
Eig09_EA.ri.numeric12 unique values
0 missing
Eig10_AEA.ri.numeric12 unique values
0 missing
Eig10_EA.ri.numeric12 unique values
0 missing
Eig11_AEA.ri.numeric12 unique values
0 missing
Eig11_EA.ri.numeric12 unique values
0 missing
Eig14_EAnumeric10 unique values
0 missing
Eig14_EA.bo.numeric10 unique values
0 missing
Eig14_EA.ed.numeric10 unique values
0 missing
Eig14_EA.ri.numeric11 unique values
0 missing
Eta_beta_Anumeric12 unique values
0 missing
Eta_betaPnumeric5 unique values
0 missing
Eta_betaP_Anumeric7 unique values
0 missing
Eta_epsi_Anumeric12 unique values
0 missing
Eta_F_Anumeric12 unique values
0 missing
Eta_FL_Anumeric12 unique values
0 missing
Eta_L_Anumeric13 unique values
0 missing
GATS1enumeric13 unique values
0 missing
GATS2vnumeric13 unique values
0 missing
GATS3enumeric13 unique values
0 missing
GATS3snumeric13 unique values
0 missing
GATS4mnumeric13 unique values
0 missing
GATS4snumeric12 unique values
0 missing
IC0numeric13 unique values
0 missing
IC1numeric13 unique values
0 missing
MATS1mnumeric13 unique values
0 missing
MATS1snumeric13 unique values
0 missing
MATS3snumeric13 unique values
0 missing
MATS4snumeric12 unique values
0 missing
MAXDPnumeric13 unique values
0 missing
Minumeric11 unique values
0 missing
NaaCHnumeric4 unique values
0 missing
NaasCnumeric4 unique values
0 missing
nABnumeric4 unique values
0 missing
nBMnumeric5 unique values
0 missing
nBnznumeric3 unique values
0 missing
nCarnumeric4 unique values
0 missing
nCb.numeric3 unique values
0 missing
nCbHnumeric3 unique values
0 missing
nCsnumeric7 unique values
0 missing
nCsp2numeric4 unique values
0 missing
nCsp3numeric8 unique values
0 missing
NssCH2numeric7 unique values
0 missing
Psi_i_1numeric13 unique values
0 missing
P_VSA_e_2numeric12 unique values
0 missing
P_VSA_i_2numeric12 unique values
0 missing
P_VSA_m_2numeric12 unique values
0 missing
P_VSA_MR_6numeric5 unique values
0 missing
P_VSA_p_3numeric12 unique values
0 missing
P_VSA_s_4numeric8 unique values
0 missing
P_VSA_v_3numeric12 unique values
0 missing
SaaNnumeric9 unique values
0 missing
SIC5numeric13 unique values
0 missing
SM02_EA.ri.numeric12 unique values
0 missing
SM04_EA.ri.numeric12 unique values
0 missing
SM06_EA.ri.numeric12 unique values
0 missing
SM08_AEA.dm.numeric10 unique values
0 missing
SM08_EA.ri.numeric12 unique values
0 missing
SM09_AEA.ri.numeric10 unique values
0 missing
SM10_EA.ri.numeric12 unique values
0 missing
SM12_AEA.ri.numeric9 unique values
0 missing
SpAD_EA.ri.numeric12 unique values
0 missing
SpMax1_Bh.e.numeric12 unique values
0 missing
SpMax1_Bh.i.numeric12 unique values
0 missing
SpMax1_Bh.v.numeric11 unique values
0 missing
SpMax2_Bh.p.numeric12 unique values
0 missing
SpMax2_Bh.v.numeric12 unique values
0 missing
SpMax3_Bh.e.numeric13 unique values
0 missing
SpMax3_Bh.i.numeric13 unique values
0 missing
SpMax3_Bh.m.numeric13 unique values
0 missing
SpMax3_Bh.v.numeric13 unique values
0 missing
SpMin2_Bh.e.numeric12 unique values
0 missing
SpMin2_Bh.i.numeric10 unique values
0 missing
SpMin2_Bh.p.numeric11 unique values
0 missing
SpMin2_Bh.v.numeric11 unique values
0 missing
SssCH2numeric13 unique values
0 missing
Ucnumeric5 unique values
0 missing
Uinumeric5 unique values
0 missing
X0Avnumeric12 unique values
0 missing
X2Avnumeric13 unique values
0 missing
X2vnumeric13 unique values
0 missing
X3Avnumeric11 unique values
0 missing
X3vnumeric13 unique values
0 missing
X4Avnumeric12 unique values
0 missing
X4vnumeric13 unique values
0 missing
X5Avnumeric10 unique values
0 missing
X5vnumeric13 unique values
0 missing
AECCnumeric11 unique values
0 missing
AMRnumeric13 unique values
0 missing
ATS1enumeric13 unique values
0 missing
ATS1inumeric13 unique values
0 missing
ATS1snumeric13 unique values
0 missing
ATS2enumeric13 unique values
0 missing
ATS2inumeric13 unique values
0 missing
ATS2snumeric13 unique values
0 missing
ATS3inumeric13 unique values
0 missing
ATS5enumeric12 unique values
0 missing
ATS5mnumeric13 unique values
0 missing
ATS5pnumeric13 unique values
0 missing
ATS5snumeric12 unique values
0 missing
ATS5vnumeric13 unique values
0 missing
ATS6enumeric13 unique values
0 missing
ATS6inumeric13 unique values
0 missing
ATS6mnumeric13 unique values
0 missing
ATS6pnumeric13 unique values
0 missing
ATS6snumeric13 unique values
0 missing
ATS6vnumeric13 unique values
0 missing
ATS7enumeric13 unique values
0 missing
ATS7inumeric13 unique values
0 missing
ATS7pnumeric13 unique values
0 missing
ATS7snumeric13 unique values
0 missing
ATS7vnumeric13 unique values
0 missing
ATS8enumeric13 unique values
0 missing
ATS8inumeric13 unique values
0 missing
ATS8mnumeric13 unique values
0 missing
ATS8pnumeric13 unique values
0 missing
ATS8snumeric13 unique values
0 missing
ATS8vnumeric13 unique values
0 missing
ATSC1mnumeric13 unique values
0 missing
ATSC1pnumeric12 unique values
0 missing
ATSC1vnumeric13 unique values
0 missing
ATSC2enumeric13 unique values
0 missing
ATSC2mnumeric13 unique values
0 missing
ATSC2vnumeric13 unique values
0 missing
ATSC3enumeric13 unique values
0 missing
ATSC3mnumeric13 unique values
0 missing
ATSC5enumeric13 unique values
0 missing

62 properties

13
Number of instances (rows) of the dataset.
165
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.
164
Number of numeric attributes.
1
Number of nominal 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.
Second quartile (Median) of entropy among attributes.
12.69
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.57
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.
-0.33
Mean skewness among attributes of the numeric type.
3.56
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
3.88
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.
-0.65
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-2.05
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.79
Second quartile (Median) of standard deviation of attributes of the numeric type.
10.72
Maximum kurtosis among attributes of the numeric type.
-0.84
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
94.31
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.
3.71
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.
99.39
Percentage of numeric attributes.
5.36
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.19
Minimum skewness among attributes of the numeric type.
0.61
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2.91
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.44
Third quartile of skewness among attributes of the numeric type.
54.68
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.
3.01
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.
1.15
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
1.81
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.
7.08
Mean of means among attributes of the numeric type.
-1.15
First quartile of skewness among attributes of the numeric type.
0.68
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.24
First 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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