Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4101

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4101

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: CHEMBL4101 (TID: 11969), and it has 1246 rows and 139 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.

141 features

pXC50 (target)numeric129 unique values
0 missing
molecule_id (row identifier)nominal1246 unique values
0 missing
Cl.090numeric2 unique values
0 missing
Eig11_EA.ri.numeric795 unique values
0 missing
SpMax3_Bh.m.numeric514 unique values
0 missing
ATS6mnumeric854 unique values
0 missing
Eig09_EA.ri.numeric757 unique values
0 missing
SpMax5_Bh.m.numeric670 unique values
0 missing
Eig11_EAnumeric699 unique values
0 missing
SM05_AEA.dm.numeric699 unique values
0 missing
Eig09_EA.ed.numeric859 unique values
0 missing
SM04_AEA.ri.numeric859 unique values
0 missing
Eig11_AEA.dm.numeric757 unique values
0 missing
Eig06_EA.ed.numeric932 unique values
0 missing
SM15_AEA.dm.numeric932 unique values
0 missing
CATS2D_06_DDnumeric8 unique values
0 missing
Eig09_EA.bo.numeric759 unique values
0 missing
SpMAD_AEA.dm.numeric238 unique values
0 missing
C.008numeric11 unique values
0 missing
SaaNHnumeric283 unique values
0 missing
Eig11_EA.ed.numeric802 unique values
0 missing
SM06_AEA.ri.numeric802 unique values
0 missing
C.026numeric9 unique values
0 missing
Eig12_EA.ri.numeric819 unique values
0 missing
Eig14_AEA.ed.numeric727 unique values
0 missing
SpMax3_Bh.p.numeric544 unique values
0 missing
X4solnumeric1020 unique values
0 missing
Eig15_AEA.ed.numeric706 unique values
0 missing
Eig11_AEA.bo.numeric733 unique values
0 missing
Eig13_AEA.ed.numeric694 unique values
0 missing
Eig05_EAnumeric696 unique values
0 missing
SM13_AEA.bo.numeric696 unique values
0 missing
Eig06_EAnumeric696 unique values
0 missing
SM14_AEA.bo.numeric696 unique values
0 missing
ZM2Kupnumeric1184 unique values
0 missing
Eig12_AEA.ed.numeric725 unique values
0 missing
ATS8mnumeric923 unique values
0 missing
SpMaxA_EA.dm.numeric134 unique values
0 missing
ZM2Pernumeric1193 unique values
0 missing
Eig11_AEA.ri.numeric809 unique values
0 missing
SpMax4_Bh.m.numeric641 unique values
0 missing
Eig10_EA.ed.numeric844 unique values
0 missing
SM05_AEA.ri.numeric844 unique values
0 missing
Eig05_AEA.bo.numeric676 unique values
0 missing
Eig06_EA.bo.numeric724 unique values
0 missing
Psi_i_tnumeric17 unique values
0 missing
Eig03_EA.ed.numeric897 unique values
0 missing
SM12_AEA.dm.numeric897 unique values
0 missing
nPyrrolesnumeric3 unique values
0 missing
Eig06_AEA.bo.numeric672 unique values
0 missing
ZM2MulPernumeric1203 unique values
0 missing
Eig11_AEA.ed.numeric704 unique values
0 missing
ZM2Vnumeric422 unique values
0 missing
Eig09_AEA.ed.numeric736 unique values
0 missing
Eig10_EA.bo.numeric755 unique values
0 missing
SpMax5_Bh.p.numeric644 unique values
0 missing
Eig08_AEA.ed.numeric769 unique values
0 missing
Eig08_EA.bo.numeric735 unique values
0 missing
Eig08_EA.ed.numeric882 unique values
0 missing
SM03_AEA.ri.numeric882 unique values
0 missing
SM03_AEA.bo.numeric625 unique values
0 missing
Eig03_EAnumeric605 unique values
0 missing
SM11_AEA.bo.numeric605 unique values
0 missing
GATS2vnumeric413 unique values
0 missing
Yindexnumeric548 unique values
0 missing
Eig08_EAnumeric687 unique values
0 missing
SM02_AEA.dm.numeric687 unique values
0 missing
Eig06_EA.ri.numeric769 unique values
0 missing
SpMax3_Bh.v.numeric547 unique values
0 missing
SM04_EAnumeric282 unique values
0 missing
X5solnumeric1003 unique values
0 missing
Eig04_AEA.bo.numeric666 unique values
0 missing
Eig06_AEA.ed.numeric774 unique values
0 missing
Eta_betanumeric194 unique values
0 missing
Eig03_EA.bo.numeric648 unique values
0 missing
SM13_AEA.ri.numeric648 unique values
0 missing
SM04_EA.bo.numeric674 unique values
0 missing
Eig06_AEA.ri.numeric782 unique values
0 missing
piPC02numeric315 unique values
0 missing
SM02_EA.bo.numeric315 unique values
0 missing
nBnznumeric5 unique values
0 missing
nCb.numeric13 unique values
0 missing
nCbHnumeric16 unique values
0 missing
Eig05_EA.bo.numeric721 unique values
0 missing
SM15_AEA.ri.numeric721 unique values
0 missing
Xindexnumeric322 unique values
0 missing
Eig12_EA.bo.numeric755 unique values
0 missing
Eig12_AEA.ri.numeric823 unique values
0 missing
SpMin3_Bh.e.numeric510 unique values
0 missing
SM03_AEA.ed.numeric612 unique values
0 missing
MWC05numeric660 unique values
0 missing
piPC03numeric605 unique values
0 missing
Eig03_AEA.bo.numeric596 unique values
0 missing
X5numeric1015 unique values
0 missing
Eig02_EAnumeric557 unique values
0 missing
SM10_AEA.bo.numeric557 unique values
0 missing
Vindexnumeric259 unique values
0 missing
Eig10_AEA.dm.numeric769 unique values
0 missing
Eig02_AEA.ri.numeric580 unique values
0 missing
SpMax6_Bh.m.numeric668 unique values
0 missing
SpMax5_Bh.v.numeric638 unique values
0 missing
Eig03_AEA.ri.numeric647 unique values
0 missing
TPCnumeric807 unique values
0 missing
Wapnumeric1015 unique values
0 missing
SpMax6_Bh.s.numeric753 unique values
0 missing
Eig07_AEA.bo.numeric672 unique values
0 missing
Eig13_EA.ed.numeric825 unique values
0 missing
SM08_AEA.ri.numeric825 unique values
0 missing
ATS1mnumeric702 unique values
0 missing
SpMin3_Bh.v.numeric461 unique values
0 missing
SM04_AEA.bo.numeric663 unique values
0 missing
SM06_AEA.bo.numeric677 unique values
0 missing
SpMax1_Bh.s.numeric219 unique values
0 missing
SM05_AEA.bo.numeric659 unique values
0 missing
SRW08numeric678 unique values
0 missing
SaaaCnumeric645 unique values
0 missing
Chi1_EA.ri.numeric1153 unique values
0 missing
nBMnumeric31 unique values
0 missing
Ucnumeric31 unique values
0 missing
GMTIVnumeric1199 unique values
0 missing
N.066numeric10 unique values
0 missing
nRNH2numeric10 unique values
0 missing
SpMax5_Bh.e.numeric630 unique values
0 missing
Eig13_AEA.bo.numeric747 unique values
0 missing
SMTIVnumeric1187 unique values
0 missing
SpMin3_Bh.i.numeric533 unique values
0 missing
Eig02_EA.bo.numeric579 unique values
0 missing
SM12_AEA.ri.numeric579 unique values
0 missing
Eig12_AEA.bo.numeric727 unique values
0 missing
Uinumeric35 unique values
0 missing
P_VSA_MR_8numeric24 unique values
0 missing
Eig04_EA.bo.numeric702 unique values
0 missing
SM14_AEA.ri.numeric702 unique values
0 missing
GATS1snumeric493 unique values
0 missing
Eig07_AEA.ri.numeric766 unique values
0 missing
Eig07_EAnumeric673 unique values
0 missing
Eig07_EA.bo.numeric720 unique values
0 missing
Eig07_EA.ed.numeric896 unique values
0 missing
SM02_AEA.ri.numeric896 unique values
0 missing
SM15_AEA.bo.numeric673 unique values
0 missing
NaaNHnumeric3 unique values
0 missing

62 properties

1246
Number of instances (rows) of the dataset.
141
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.
140
Number of numeric attributes.
1
Number of nominal attributes.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
1.52
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
7.2
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.
742.51
Mean of means among attributes of the numeric type.
-0.81
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.3
First quartile of standard deviation of attributes of the numeric type.
0.18
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.
1.27
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.11
Number of attributes divided by the number of instances.
0.26
Mean skewness among attributes of the numeric type.
3
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.
1580.26
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.
-0.42
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
-0.91
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.6
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
134.29
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
42163.36
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.
3.87
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.
99.29
Percentage of numeric attributes.
4.41
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.86
Minimum skewness among attributes of the numeric type.
0.71
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
10.55
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.48
Third quartile of skewness among attributes of the numeric type.
97642.91
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.55
First quartile of kurtosis among attributes of the numeric type.
1.15
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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