Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3111

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3111

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: CHEMBL3111 (TID: 17145), and it has 15 rows and 162 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.

164 features

pXC50 (target)numeric15 unique values
0 missing
molecule_id (row identifier)nominal15 unique values
0 missing
Eta_F_Anumeric15 unique values
0 missing
GATS8inumeric14 unique values
0 missing
GATS8pnumeric14 unique values
0 missing
MATS2snumeric14 unique values
0 missing
MATS8inumeric14 unique values
0 missing
MATS8pnumeric14 unique values
0 missing
Eta_betaS_Anumeric11 unique values
0 missing
CATS2D_04_AAnumeric3 unique values
0 missing
CATS2D_05_AAnumeric2 unique values
0 missing
DLS_consnumeric8 unique values
0 missing
GATS2enumeric15 unique values
0 missing
GATS6enumeric15 unique values
0 missing
GATS6snumeric15 unique values
0 missing
MATS5enumeric15 unique values
0 missing
MATS6snumeric15 unique values
0 missing
nArORnumeric2 unique values
0 missing
SssOnumeric8 unique values
0 missing
SpMin2_Bh.e.numeric10 unique values
0 missing
SpMin2_Bh.v.numeric12 unique values
0 missing
ATS3snumeric15 unique values
0 missing
ATSC1snumeric15 unique values
0 missing
CATS2D_05_ALnumeric7 unique values
0 missing
CATS2D_06_ALnumeric8 unique values
0 missing
Eig03_EA.ri.numeric13 unique values
0 missing
Eig10_AEA.bo.numeric12 unique values
0 missing
Eig10_EA.bo.numeric13 unique values
0 missing
Eig11_AEA.ri.numeric13 unique values
0 missing
Eta_Bnumeric7 unique values
0 missing
Eta_B_Anumeric8 unique values
0 missing
Eta_betaPnumeric6 unique values
0 missing
Eta_Fnumeric15 unique values
0 missing
GATS2snumeric15 unique values
0 missing
IC3numeric14 unique values
0 missing
IC4numeric14 unique values
0 missing
IC5numeric14 unique values
0 missing
JGI1numeric10 unique values
0 missing
JGTnumeric12 unique values
0 missing
MATS8mnumeric14 unique values
0 missing
nBMnumeric5 unique values
0 missing
nCsp2numeric6 unique values
0 missing
P_VSA_LogP_4numeric6 unique values
0 missing
SM03_EA.bo.numeric6 unique values
0 missing
SM03_EA.ri.numeric7 unique values
0 missing
SpMax3_Bh.s.numeric8 unique values
0 missing
SpMax6_Bh.s.numeric14 unique values
0 missing
SpMin1_Bh.e.numeric8 unique values
0 missing
SpMin1_Bh.i.numeric8 unique values
0 missing
SpMin1_Bh.p.numeric9 unique values
0 missing
SpMin1_Bh.v.numeric7 unique values
0 missing
SpMin2_Bh.i.numeric11 unique values
0 missing
SpMin2_Bh.p.numeric13 unique values
0 missing
SpMin4_Bh.e.numeric14 unique values
0 missing
SpMin4_Bh.i.numeric14 unique values
0 missing
TIEnumeric15 unique values
0 missing
Ucnumeric5 unique values
0 missing
Uinumeric5 unique values
0 missing
Eig04_AEA.bo.numeric12 unique values
0 missing
Eig04_AEA.ri.numeric13 unique values
0 missing
Eig04_EA.bo.numeric10 unique values
0 missing
Eig05_AEA.ri.numeric15 unique values
0 missing
Eig05_EA.ri.numeric14 unique values
0 missing
Eig06_EA.bo.numeric13 unique values
0 missing
piPC05numeric13 unique values
0 missing
SM06_EA.bo.numeric13 unique values
0 missing
SM07_EA.bo.numeric13 unique values
0 missing
SM08_EA.bo.numeric13 unique values
0 missing
SM14_AEA.ri.numeric10 unique values
0 missing
SM08_EA.ri.numeric14 unique values
0 missing
AMRnumeric15 unique values
0 missing
ATS1pnumeric14 unique values
0 missing
ATS1vnumeric14 unique values
0 missing
ATS2pnumeric15 unique values
0 missing
ATS2vnumeric15 unique values
0 missing
ATS3pnumeric15 unique values
0 missing
ATS3vnumeric15 unique values
0 missing
ATS4pnumeric15 unique values
0 missing
ATS7pnumeric15 unique values
0 missing
ATS7vnumeric15 unique values
0 missing
ATS8pnumeric14 unique values
0 missing
ATS8snumeric14 unique values
0 missing
ATS8vnumeric14 unique values
0 missing
ATSC4snumeric15 unique values
0 missing
ATSC5snumeric15 unique values
0 missing
ATSC8snumeric14 unique values
0 missing
DELSnumeric15 unique values
0 missing
Eig01_AEA.bo.numeric10 unique values
0 missing
Eig02_AEA.bo.numeric12 unique values
0 missing
Eig02_AEA.ri.numeric12 unique values
0 missing
Eig02_EA.ri.numeric13 unique values
0 missing
Eig05_AEA.bo.numeric13 unique values
0 missing
Eig05_EA.bo.numeric14 unique values
0 missing
Eig06_AEA.bo.numeric13 unique values
0 missing
Eig06_AEA.ri.numeric14 unique values
0 missing
Eig06_EA.ri.numeric15 unique values
0 missing
Eig07_AEA.bo.numeric13 unique values
0 missing
Eig07_AEA.ri.numeric15 unique values
0 missing
Eig07_EA.bo.numeric13 unique values
0 missing
Eig07_EA.ri.numeric15 unique values
0 missing
Eig08_AEA.bo.numeric14 unique values
0 missing
Eig08_EA.bo.numeric14 unique values
0 missing
Eig09_AEA.bo.numeric14 unique values
0 missing
Eig09_AEA.ri.numeric15 unique values
0 missing
Eig09_EA.bo.numeric14 unique values
0 missing
Eig09_EA.ri.numeric15 unique values
0 missing
Eig13_AEA.bo.numeric12 unique values
0 missing
Eig13_AEA.ri.numeric13 unique values
0 missing
Eig13_EA.bo.numeric12 unique values
0 missing
Eig13_EA.ri.numeric13 unique values
0 missing
Eig14_AEA.bo.numeric13 unique values
0 missing
Eig14_AEA.ri.numeric14 unique values
0 missing
Eig15_AEA.bo.numeric13 unique values
0 missing
Eig15_AEA.ri.numeric13 unique values
0 missing
Eta_alphanumeric11 unique values
0 missing
Eta_betanumeric13 unique values
0 missing
Eta_FLnumeric13 unique values
0 missing
GATS5inumeric15 unique values
0 missing
GATS8enumeric14 unique values
0 missing
GATS8mnumeric14 unique values
0 missing
MATS1inumeric13 unique values
0 missing
MATS1pnumeric14 unique values
0 missing
nCnumeric10 unique values
0 missing
PCDnumeric12 unique values
0 missing
PCRnumeric12 unique values
0 missing
piIDnumeric12 unique values
0 missing
piPC01numeric10 unique values
0 missing
piPC02numeric11 unique values
0 missing
piPC03numeric13 unique values
0 missing
piPC04numeric12 unique values
0 missing
piPC06numeric13 unique values
0 missing
piPC07numeric13 unique values
0 missing
piPC08numeric13 unique values
0 missing
piPC09numeric14 unique values
0 missing
piPC10numeric14 unique values
0 missing
Psi_e_Anumeric13 unique values
0 missing
Psi_i_0numeric14 unique values
0 missing
Psi_i_1numeric15 unique values
0 missing
Psi_i_Anumeric13 unique values
0 missing
Psi_i_snumeric14 unique values
0 missing
P_VSA_p_2numeric8 unique values
0 missing
P_VSA_s_6numeric8 unique values
0 missing
P_VSA_v_2numeric8 unique values
0 missing
SAaccnumeric8 unique values
0 missing
SaaSnumeric15 unique values
0 missing
SCBOnumeric10 unique values
0 missing
SM02_AEA.bo.numeric11 unique values
0 missing
SM02_EA.bo.numeric11 unique values
0 missing
SM02_EA.ri.numeric15 unique values
0 missing
SM03_AEA.bo.numeric12 unique values
0 missing
SM04_AEA.bo.numeric14 unique values
0 missing
SM04_EA.bo.numeric14 unique values
0 missing
SM04_EA.ri.numeric15 unique values
0 missing
SM05_AEA.bo.numeric13 unique values
0 missing
SM05_EA.bo.numeric10 unique values
0 missing
SM05_EA.ri.numeric12 unique values
0 missing
SM06_AEA.bo.numeric14 unique values
0 missing
SM06_EA.ri.numeric15 unique values
0 missing
SM07_AEA.bo.numeric13 unique values
0 missing
SM07_EA.ri.numeric14 unique values
0 missing
SM08_AEA.bo.numeric14 unique values
0 missing
SM09_EA.bo.numeric13 unique values
0 missing
SM09_EA.ri.numeric15 unique values
0 missing
SM10_EA.bo.numeric14 unique values
0 missing

62 properties

15
Number of instances (rows) of the dataset.
164
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.
163
Number of numeric attributes.
1
Number of nominal attributes.
-1.45
Second quartile (Median) of kurtosis among attributes of the numeric type.
10.93
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
3.87
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.
-0.29
Mean skewness among 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.
2.76
Mean standard deviation of attributes of the numeric type.
-0.29
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
0.21
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-2.26
Minimum kurtosis among attributes of the numeric type.
-0.15
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
4.7
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
-1.21
Third quartile of kurtosis among attributes of the numeric type.
113.29
Maximum of means among attributes of the numeric type.
The minimal number of distinct values among attributes of the nominal type.
99.39
Percentage of numeric attributes.
7.8
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-2.02
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.
The maximum number of distinct values among attributes of the nominal type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.01
Third quartile of skewness among attributes of the numeric type.
1.64
Maximum skewness among attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-1.62
First quartile of kurtosis among attributes of the numeric type.
0.49
Third quartile of standard deviation of attributes of the numeric type.
56.03
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
1.72
First quartile of means 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.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
-1.15
Mean kurtosis among attributes of the numeric type.
-0.6
First quartile of skewness among attributes of the numeric type.
10.6
Mean of means among attributes of the numeric type.
0.15
First quartile of standard deviation of attributes of the numeric type.
0.08
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among 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.

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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