Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4239

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4239

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: CHEMBL4239 (TID: 11212), and it has 13 rows and 164 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.

166 features

pXC50 (target)numeric13 unique values
0 missing
molecule_id (row identifier)nominal13 unique values
0 missing
GATS5vnumeric12 unique values
0 missing
MATS1pnumeric10 unique values
0 missing
MATS2mnumeric12 unique values
0 missing
MATS4inumeric13 unique values
0 missing
MATS5mnumeric12 unique values
0 missing
NssCH2numeric6 unique values
0 missing
PW3numeric10 unique values
0 missing
SpMAD_EA.ed.numeric13 unique values
0 missing
SssCH2numeric13 unique values
0 missing
X3Anumeric11 unique values
0 missing
ATS4mnumeric13 unique values
0 missing
ATS5mnumeric13 unique values
0 missing
ATS5pnumeric13 unique values
0 missing
ATS5snumeric13 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
ATS7mnumeric13 unique values
0 missing
ATS7pnumeric13 unique values
0 missing
ATS7snumeric13 unique values
0 missing
ATS7vnumeric13 unique values
0 missing
ATS8snumeric12 unique values
0 missing
ATSC3mnumeric13 unique values
0 missing
ATSC4mnumeric13 unique values
0 missing
ATSC5enumeric13 unique values
0 missing
ATSC5mnumeric13 unique values
0 missing
ATSC5pnumeric13 unique values
0 missing
ATSC5snumeric13 unique values
0 missing
ATSC6enumeric13 unique values
0 missing
ATSC6inumeric13 unique values
0 missing
ATSC6mnumeric13 unique values
0 missing
ATSC6pnumeric13 unique values
0 missing
ATSC6snumeric13 unique values
0 missing
ATSC6vnumeric13 unique values
0 missing
ATSC7enumeric13 unique values
0 missing
ATSC7mnumeric13 unique values
0 missing
ATSC7pnumeric13 unique values
0 missing
ATSC7snumeric13 unique values
0 missing
ATSC7vnumeric13 unique values
0 missing
ATSC8enumeric13 unique values
0 missing
ATSC8mnumeric13 unique values
0 missing
ATSC8snumeric13 unique values
0 missing
C.002numeric5 unique values
0 missing
C.006numeric2 unique values
0 missing
C.008numeric3 unique values
0 missing
C.040numeric3 unique values
0 missing
CATS2D_02_DAnumeric3 unique values
0 missing
CATS2D_04_DDnumeric2 unique values
0 missing
CATS2D_05_AAnumeric3 unique values
0 missing
CATS2D_05_DAnumeric3 unique values
0 missing
CATS2D_06_DLnumeric8 unique values
0 missing
CATS2D_06_LLnumeric7 unique values
0 missing
CATS2D_07_ALnumeric7 unique values
0 missing
CATS2D_08_AAnumeric3 unique values
0 missing
CATS2D_08_DAnumeric4 unique values
0 missing
CATS2D_08_DDnumeric2 unique values
0 missing
CATS2D_09_LLnumeric7 unique values
0 missing
CIC1numeric12 unique values
0 missing
Eig01_AEA.dm.numeric2 unique values
0 missing
Eig01_AEA.ed.numeric5 unique values
0 missing
Eig01_AEA.ri.numeric4 unique values
0 missing
Eig01_EAnumeric4 unique values
0 missing
Eig01_EA.dm.numeric3 unique values
0 missing
Eig01_EA.ed.numeric5 unique values
0 missing
Eig01_EA.ri.numeric5 unique values
0 missing
Eig02_AEA.dm.numeric5 unique values
0 missing
Eig02_AEA.ed.numeric5 unique values
0 missing
Eig02_AEA.ri.numeric5 unique values
0 missing
Eig02_EAnumeric5 unique values
0 missing
Eig02_EA.dm.numeric5 unique values
0 missing
Eig02_EA.ed.numeric5 unique values
0 missing
Eig02_EA.ri.numeric7 unique values
0 missing
Eig03_AEA.dm.numeric5 unique values
0 missing
Eig03_AEA.ed.numeric5 unique values
0 missing
Eig03_AEA.ri.numeric6 unique values
0 missing
Eig03_EAnumeric7 unique values
0 missing
Eig03_EA.dm.numeric6 unique values
0 missing
Eig03_EA.ed.numeric7 unique values
0 missing
Eig03_EA.ri.numeric9 unique values
0 missing
Eig04_AEA.dm.numeric6 unique values
0 missing
Eig04_AEA.ed.numeric6 unique values
0 missing
Eig04_EA.dm.numeric6 unique values
0 missing
Eig04_EA.ed.numeric7 unique values
0 missing
Eig05_AEA.dm.numeric6 unique values
0 missing
Eig05_EA.dm.numeric6 unique values
0 missing
Eig06_AEA.dm.numeric7 unique values
0 missing
Eig06_EA.dm.numeric7 unique values
0 missing
Eig07_AEA.dm.numeric6 unique values
0 missing
Eig07_EA.dm.numeric5 unique values
0 missing
Eta_Lnumeric13 unique values
0 missing
Eta_sh_ynumeric12 unique values
0 missing
GATS2pnumeric12 unique values
0 missing
GATS3inumeric11 unique values
0 missing
GATS3pnumeric12 unique values
0 missing
GATS4pnumeric11 unique values
0 missing
GATS5pnumeric12 unique values
0 missing
GATS6mnumeric12 unique values
0 missing
GATS7enumeric12 unique values
0 missing
GATS7mnumeric11 unique values
0 missing
GATS7pnumeric13 unique values
0 missing
GATS7snumeric13 unique values
0 missing
GATS8inumeric11 unique values
0 missing
GATS8vnumeric13 unique values
0 missing
GGI10numeric12 unique values
0 missing
GGI3numeric10 unique values
0 missing
GGI4numeric12 unique values
0 missing
GGI5numeric12 unique values
0 missing
GGI6numeric12 unique values
0 missing
GGI7numeric13 unique values
0 missing
H.046numeric4 unique values
0 missing
H.051numeric2 unique values
0 missing
H.053numeric2 unique values
0 missing
JGI10numeric4 unique values
0 missing
JGI7numeric5 unique values
0 missing
LOCnumeric12 unique values
0 missing
MATS1mnumeric11 unique values
0 missing
MATS2inumeric12 unique values
0 missing
MATS2vnumeric12 unique values
0 missing
MATS3enumeric13 unique values
0 missing
MATS3inumeric12 unique values
0 missing
MATS3mnumeric13 unique values
0 missing
MATS3pnumeric12 unique values
0 missing
MATS4snumeric13 unique values
0 missing
MATS6enumeric12 unique values
0 missing
MATS6inumeric13 unique values
0 missing
MATS7enumeric13 unique values
0 missing
MATS7pnumeric13 unique values
0 missing
MATS7snumeric13 unique values
0 missing
MATS7vnumeric13 unique values
0 missing
MATS8inumeric12 unique values
0 missing
MATS8mnumeric12 unique values
0 missing
MATS8vnumeric11 unique values
0 missing
MAXDNnumeric12 unique values
0 missing
MAXDPnumeric13 unique values
0 missing
MCDnumeric12 unique values
0 missing
N.067numeric3 unique values
0 missing
N.072numeric3 unique values
0 missing
nCrsnumeric2 unique values
0 missing
nCsnumeric6 unique values
0 missing
nCsp3numeric6 unique values
0 missing
NdssCnumeric3 unique values
0 missing
nHMnumeric2 unique values
0 missing
nRCONHRnumeric3 unique values
0 missing
nRNHRnumeric3 unique values
0 missing
nRSRnumeric2 unique values
0 missing
nSnumeric2 unique values
0 missing
NssSnumeric2 unique values
0 missing
NsssCHnumeric3 unique values
0 missing
O.058numeric3 unique values
0 missing
P_VSA_i_1numeric2 unique values
0 missing
P_VSA_LogP_2numeric8 unique values
0 missing
P_VSA_LogP_3numeric8 unique values
0 missing
P_VSA_LogP_4numeric5 unique values
0 missing
P_VSA_m_4numeric2 unique values
0 missing
P_VSA_MR_2numeric6 unique values
0 missing
P_VSA_MR_8numeric2 unique values
0 missing
P_VSA_s_3numeric12 unique values
0 missing
PW2numeric10 unique values
0 missing

62 properties

13
Number of instances (rows) of the dataset.
166
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.
165
Number of numeric attributes.
1
Number of nominal attributes.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
1.03
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.05
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.
23.15
Mean of means among attributes of the numeric type.
-0.7
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.03
First quartile of standard deviation of attributes of the numeric type.
0.39
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.
-0.78
Second quartile (Median) of kurtosis among attributes of the numeric type.
12.77
Number of attributes divided by the number of instances.
-0.14
Mean skewness among attributes of the numeric type.
3.8
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.
4.02
Mean standard deviation of 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.
Minimal entropy among attributes.
-0.14
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
-2.36
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.19
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
9.44
Maximum kurtosis among attributes of the numeric type.
-0.17
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
505.56
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.
0.09
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.
99.4
Percentage of numeric attributes.
7.16
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-2.21
Minimum skewness among attributes of the numeric type.
0.6
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2.85
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.22
Third quartile of skewness among attributes of the numeric type.
84.37
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-1.21
First quartile of kurtosis among attributes of the numeric type.
0.88
Third 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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