Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2045

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2045

deactivated ARFF Publicly available Visibility: public Uploaded 16-07-2016 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: CHEMBL2045 (TID: 10705), and it has 12 rows and 159 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.

161 features

pXC50 (target)numeric11 unique values
0 missing
molecule_id (row identifier)nominal12 unique values
0 missing
AACnumeric6 unique values
0 missing
ALOGPnumeric6 unique values
0 missing
ALOGP2numeric6 unique values
0 missing
AMRnumeric6 unique values
0 missing
AMWnumeric6 unique values
0 missing
ATS1mnumeric6 unique values
0 missing
ATS2mnumeric6 unique values
0 missing
ATS3mnumeric6 unique values
0 missing
ATS4mnumeric6 unique values
0 missing
ATS5mnumeric6 unique values
0 missing
ATS6mnumeric5 unique values
0 missing
ATS7mnumeric6 unique values
0 missing
ATS8mnumeric6 unique values
0 missing
ATSC1enumeric6 unique values
0 missing
ATSC1snumeric6 unique values
0 missing
ATSC2enumeric6 unique values
0 missing
ATSC3enumeric6 unique values
0 missing
ATSC4enumeric6 unique values
0 missing
ATSC4snumeric6 unique values
0 missing
ATSC5enumeric6 unique values
0 missing
ATSC6enumeric6 unique values
0 missing
ATSC7enumeric6 unique values
0 missing
ATSC8enumeric6 unique values
0 missing
BIC0numeric5 unique values
0 missing
BIC1numeric6 unique values
0 missing
BIC5numeric5 unique values
0 missing
Chi0_EA.dm.numeric6 unique values
0 missing
Chi0_EA.ri.numeric6 unique values
0 missing
Chi1_EA.ri.numeric6 unique values
0 missing
CIC5numeric6 unique values
0 missing
Eig01_EA.dm.numeric3 unique values
0 missing
Eig05_AEA.dm.numeric5 unique values
0 missing
Eig06_AEA.dm.numeric5 unique values
0 missing
Eig07_AEA.dm.numeric5 unique values
0 missing
Eig08_AEA.dm.numeric5 unique values
0 missing
Eig08_EA.dm.numeric5 unique values
0 missing
Eig09_AEA.dm.numeric5 unique values
0 missing
Eig09_EA.dm.numeric6 unique values
0 missing
Eig10_AEA.dm.numeric4 unique values
0 missing
Eig10_EA.dm.numeric5 unique values
0 missing
Eig11_AEA.dm.numeric4 unique values
0 missing
Eig11_EA.dm.numeric6 unique values
0 missing
Eig12_AEA.dm.numeric3 unique values
0 missing
Eig12_EA.dm.numeric6 unique values
0 missing
Eig13_AEA.dm.numeric5 unique values
0 missing
Eig13_EA.dm.numeric6 unique values
0 missing
Eig14_AEA.dm.numeric5 unique values
0 missing
Eig14_EA.dm.numeric6 unique values
0 missing
Eig15_AEA.dm.numeric5 unique values
0 missing
Eig15_EA.dm.numeric6 unique values
0 missing
Eta_alphanumeric6 unique values
0 missing
Eta_epsi_Anumeric6 unique values
0 missing
GATS1mnumeric6 unique values
0 missing
GATS1vnumeric6 unique values
0 missing
GATS3snumeric6 unique values
0 missing
GATS3vnumeric5 unique values
0 missing
GATS5enumeric6 unique values
0 missing
GATS6inumeric6 unique values
0 missing
GATS6pnumeric5 unique values
0 missing
GATS8vnumeric5 unique values
0 missing
GMTIVnumeric6 unique values
0 missing
H.numeric6 unique values
0 missing
IACnumeric6 unique values
0 missing
IC0numeric6 unique values
0 missing
IC1numeric6 unique values
0 missing
IC4numeric6 unique values
0 missing
IC5numeric6 unique values
0 missing
MATS1enumeric6 unique values
0 missing
MATS1snumeric6 unique values
0 missing
MATS2pnumeric6 unique values
0 missing
MATS3mnumeric5 unique values
0 missing
MATS3snumeric5 unique values
0 missing
MATS3vnumeric5 unique values
0 missing
MATS5mnumeric6 unique values
0 missing
MATS5vnumeric6 unique values
0 missing
MATS6pnumeric5 unique values
0 missing
MATS8inumeric6 unique values
0 missing
MAXDNnumeric6 unique values
0 missing
Menumeric6 unique values
0 missing
Mvnumeric6 unique values
0 missing
MWnumeric6 unique values
0 missing
nHetnumeric5 unique values
0 missing
NssCH2numeric4 unique values
0 missing
O.numeric5 unique values
0 missing
PHInumeric5 unique values
0 missing
Psi_e_Anumeric6 unique values
0 missing
Psi_i_Anumeric6 unique values
0 missing
Psi_i_snumeric6 unique values
0 missing
P_VSA_e_1numeric5 unique values
0 missing
P_VSA_e_2numeric6 unique values
0 missing
P_VSA_i_1numeric3 unique values
0 missing
P_VSA_m_1numeric5 unique values
0 missing
P_VSA_m_4numeric3 unique values
0 missing
P_VSA_MR_1numeric4 unique values
0 missing
P_VSA_MR_6numeric6 unique values
0 missing
P_VSA_p_1numeric5 unique values
0 missing
P_VSA_p_3numeric6 unique values
0 missing
P_VSA_s_2numeric5 unique values
0 missing
P_VSA_s_3numeric6 unique values
0 missing
P_VSA_v_1numeric5 unique values
0 missing
P_VSA_v_3numeric6 unique values
0 missing
S1Knumeric5 unique values
0 missing
S2Knumeric5 unique values
0 missing
SaaaCnumeric6 unique values
0 missing
SaaCHnumeric6 unique values
0 missing
SaaNHnumeric6 unique values
0 missing
SddssSnumeric6 unique values
0 missing
SdssCnumeric6 unique values
0 missing
SIC0numeric5 unique values
0 missing
SIC1numeric6 unique values
0 missing
SIC5numeric5 unique values
0 missing
SM02_EA.dm.numeric6 unique values
0 missing
SM04_EA.dm.numeric6 unique values
0 missing
SM06_EA.dm.numeric5 unique values
0 missing
SM08_EA.dm.numeric5 unique values
0 missing
SM10_EA.dm.numeric5 unique values
0 missing
SM12_EA.dm.numeric5 unique values
0 missing
SM14_EA.dm.numeric5 unique values
0 missing
SMTIVnumeric6 unique values
0 missing
SpAD_AEA.dm.numeric6 unique values
0 missing
SpAD_EA.dm.numeric6 unique values
0 missing
SpDiam_EA.dm.numeric3 unique values
0 missing
SpMAD_AEA.dm.numeric5 unique values
0 missing
SpMAD_EA.dm.numeric6 unique values
0 missing
SpMax2_Bh.i.numeric5 unique values
0 missing
SpMax3_Bh.m.numeric6 unique values
0 missing
SpMax4_Bh.m.numeric5 unique values
0 missing
SpMax4_Bh.p.numeric5 unique values
0 missing
SpMax4_Bh.v.numeric4 unique values
0 missing
SpMax5_Bh.i.numeric5 unique values
0 missing
SpMax5_Bh.m.numeric6 unique values
0 missing
SpMax5_Bh.v.numeric5 unique values
0 missing
SpMax6_Bh.m.numeric5 unique values
0 missing
SpMax7_Bh.m.numeric5 unique values
0 missing
SpMax8_Bh.m.numeric4 unique values
0 missing
SpMax_EA.dm.numeric3 unique values
0 missing
SpMin1_Bh.p.numeric3 unique values
0 missing
SpMin1_Bh.v.numeric3 unique values
0 missing
SpMin3_Bh.s.numeric4 unique values
0 missing
SpMin4_Bh.s.numeric4 unique values
0 missing
SpMin5_Bh.e.numeric4 unique values
0 missing
SpMin5_Bh.i.numeric4 unique values
0 missing
SpMin5_Bh.p.numeric4 unique values
0 missing
SpMin5_Bh.v.numeric5 unique values
0 missing
SpMin6_Bh.e.numeric4 unique values
0 missing
SpMin6_Bh.i.numeric4 unique values
0 missing
SpMin6_Bh.v.numeric5 unique values
0 missing
SsCH3numeric6 unique values
0 missing
SsOHnumeric6 unique values
0 missing
SssCH2numeric6 unique values
0 missing
SsssCHnumeric6 unique values
0 missing
SssssCnumeric6 unique values
0 missing
TIC0numeric6 unique values
0 missing
TIC1numeric6 unique values
0 missing
TIC2numeric6 unique values
0 missing
TPSA.Tot.numeric6 unique values
0 missing
X0solnumeric4 unique values
0 missing
X0vnumeric6 unique values
0 missing
X1solnumeric4 unique values
0 missing

62 properties

12
Number of instances (rows) of the dataset.
161
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.
160
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.
13.42
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
2.19
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.
0.8
Mean skewness among attributes of the numeric type.
3.65
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
297.08
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.
1
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.65
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.08
Second quartile (Median) of standard deviation of attributes of the numeric type.
11.97
Maximum kurtosis among attributes of the numeric type.
-6.24
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
382075.42
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.
6.51
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.
99.38
Percentage of numeric attributes.
18.29
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.46
Minimum skewness among attributes of the numeric type.
0.62
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
3.45
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
2.11
Third quartile of skewness among attributes of the numeric type.
32590.96
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.24
First quartile of kurtosis among attributes of the numeric type.
0.75
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.
1.09
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
3.38
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.
3812.19
Mean of means among attributes of the numeric type.
-0.46
First quartile of skewness among attributes of the numeric type.
0
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.01
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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