Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1957

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1957

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: CHEMBL1957 (TID: 234), and it has 2145 rows and 140 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.

142 features

pXC50 (target)numeric719 unique values
0 missing
molecule_id (row identifier)nominal2145 unique values
0 missing
N.068numeric4 unique values
0 missing
nCIRnumeric21 unique values
0 missing
SM07_EA.bo.numeric1016 unique values
0 missing
nRNR2numeric3 unique values
0 missing
SM08_EA.bo.numeric1005 unique values
0 missing
Xtnumeric168 unique values
0 missing
CMC.80numeric2 unique values
0 missing
Infective.80numeric2 unique values
0 missing
SM06_EA.bo.numeric925 unique values
0 missing
SpMax6_Bh.e.numeric786 unique values
0 missing
Neoplastic.80numeric2 unique values
0 missing
Eig02_AEA.bo.numeric576 unique values
0 missing
piPC09numeric1265 unique values
0 missing
C.043numeric4 unique values
0 missing
DLS_06numeric6 unique values
0 missing
SsssNnumeric730 unique values
0 missing
Eig01_EA.bo.numeric580 unique values
0 missing
SM11_AEA.ri.numeric580 unique values
0 missing
SpMax_EA.bo.numeric580 unique values
0 missing
SpDiam_EA.bo.numeric580 unique values
0 missing
Inflammat.80numeric2 unique values
0 missing
DLS_03numeric6 unique values
0 missing
TRSnumeric40 unique values
0 missing
Eig15_AEA.dm.numeric1106 unique values
0 missing
DLS_01numeric4 unique values
0 missing
SdOnumeric1287 unique values
0 missing
Xindexnumeric339 unique values
0 missing
Eig10_EA.ed.numeric1263 unique values
0 missing
SM05_AEA.ri.numeric1263 unique values
0 missing
Eig05_EA.dm.numeric65 unique values
0 missing
CATS2D_06_DDnumeric18 unique values
0 missing
Eig11_EA.dm.numeric26 unique values
0 missing
NdOnumeric20 unique values
0 missing
RBNnumeric42 unique values
0 missing
piPC07numeric1135 unique values
0 missing
piIDnumeric1474 unique values
0 missing
SpMin8_Bh.m.numeric741 unique values
0 missing
CATS2D_05_DAnumeric21 unique values
0 missing
O.058numeric21 unique values
0 missing
CATS2D_04_DNnumeric9 unique values
0 missing
CATS2D_09_NLnumeric13 unique values
0 missing
nOnumeric29 unique values
0 missing
Eig13_EA.ed.numeric1205 unique values
0 missing
SM08_AEA.ri.numeric1205 unique values
0 missing
SssCH2numeric1369 unique values
0 missing
nCICnumeric9 unique values
0 missing
SpMin8_Bh.v.numeric747 unique values
0 missing
P_VSA_e_5numeric171 unique values
0 missing
P_VSA_m_3numeric261 unique values
0 missing
nDBnumeric21 unique values
0 missing
CATS2D_09_DDnumeric20 unique values
0 missing
Eig10_EA.dm.numeric26 unique values
0 missing
SpMax8_Bh.i.numeric788 unique values
0 missing
Eig12_EA.ri.numeric1100 unique values
0 missing
Eig12_EA.dm.numeric24 unique values
0 missing
N.072numeric17 unique values
0 missing
NssNHnumeric14 unique values
0 missing
Eig04_EA.dm.numeric90 unique values
0 missing
SpMin8_Bh.p.numeric775 unique values
0 missing
SpMin7_Bh.v.numeric761 unique values
0 missing
Eig13_EA.ri.numeric1113 unique values
0 missing
SpMin8_Bh.e.numeric754 unique values
0 missing
ATS6inumeric1258 unique values
0 missing
MPC10numeric439 unique values
0 missing
ATS1enumeric970 unique values
0 missing
SpMin8_Bh.s.numeric610 unique values
0 missing
ATS6enumeric1252 unique values
0 missing
Senumeric1651 unique values
0 missing
IC1numeric919 unique values
0 missing
SpMin7_Bh.s.numeric634 unique values
0 missing
SNarnumeric287 unique values
0 missing
GATS1inumeric707 unique values
0 missing
SpMin8_Bh.i.numeric738 unique values
0 missing
SpMax8_Bh.e.numeric809 unique values
0 missing
Eig15_EA.ed.numeric1245 unique values
0 missing
SM10_AEA.ri.numeric1245 unique values
0 missing
Chi1_AEA.bo.numeric1480 unique values
0 missing
Chi1_AEA.dm.numeric1480 unique values
0 missing
Chi1_AEA.ed.numeric1480 unique values
0 missing
Chi1_AEA.ri.numeric1480 unique values
0 missing
Chi1_EAnumeric1480 unique values
0 missing
Vindexnumeric261 unique values
0 missing
X3numeric1613 unique values
0 missing
SpMin7_Bh.p.numeric778 unique values
0 missing
nBTnumeric124 unique values
0 missing
SpMin7_Bh.m.numeric715 unique values
0 missing
SpMax8_Bh.v.numeric804 unique values
0 missing
CATS2D_08_NLnumeric10 unique values
0 missing
CATS2D_06_DAnumeric24 unique values
0 missing
NdssCnumeric20 unique values
0 missing
MPC01numeric80 unique values
0 missing
MWC01numeric80 unique values
0 missing
nBOnumeric80 unique values
0 missing
SRW02numeric80 unique values
0 missing
SpMax8_Bh.p.numeric797 unique values
0 missing
LLS_02numeric7 unique values
0 missing
SM07_EA.ed.numeric1180 unique values
0 missing
SpMin6_Bh.s.numeric681 unique values
0 missing
Eig15_EAnumeric1011 unique values
0 missing
SM09_AEA.dm.numeric1011 unique values
0 missing
SpMin7_Bh.e.numeric750 unique values
0 missing
ATSC7inumeric1433 unique values
0 missing
Eig15_AEA.ri.numeric1189 unique values
0 missing
Hypertens.80numeric2 unique values
0 missing
Eig08_EA.dm.numeric40 unique values
0 missing
Eig09_EA.dm.numeric35 unique values
0 missing
ISIZnumeric121 unique values
0 missing
nATnumeric121 unique values
0 missing
CATS2D_08_ANnumeric8 unique values
0 missing
Eig14_EA.bo.numeric1124 unique values
0 missing
Yindexnumeric588 unique values
0 missing
ATSC5enumeric1017 unique values
0 missing
ATS3inumeric1077 unique values
0 missing
X.numeric91 unique values
0 missing
DLS_07numeric3 unique values
0 missing
S2Knumeric1533 unique values
0 missing
CATS2D_05_ANnumeric9 unique values
0 missing
CATS2D_03_DLnumeric33 unique values
0 missing
NsssNnumeric6 unique values
0 missing
CATS2D_08_DNnumeric7 unique values
0 missing
CATS2D_07_DNnumeric7 unique values
0 missing
Eig15_AEA.bo.numeric1067 unique values
0 missing
P_VSA_i_3numeric971 unique values
0 missing
Eig15_EA.bo.numeric1162 unique values
0 missing
Eig14_AEA.bo.numeric1047 unique values
0 missing
SpMin6_Bh.e.numeric733 unique values
0 missing
SpMin6_Bh.v.numeric732 unique values
0 missing
SM08_EA.ed.numeric1215 unique values
0 missing
ATSC7mnumeric2032 unique values
0 missing
SpMax7_Bh.p.numeric767 unique values
0 missing
SpMin6_Bh.i.numeric748 unique values
0 missing
SpMin5_Bh.s.numeric777 unique values
0 missing
CATS2D_05_DNnumeric9 unique values
0 missing
SPInumeric1650 unique values
0 missing
nHnumeric69 unique values
0 missing
Eig09_AEA.bo.numeric920 unique values
0 missing
CIC0numeric1143 unique values
0 missing
SM10_EA.bo.numeric1082 unique values
0 missing
CATS2D_07_NLnumeric15 unique values
0 missing
GGI10numeric438 unique values
0 missing

62 properties

2145
Number of instances (rows) of the dataset.
142
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.
141
Number of numeric attributes.
1
Number of nominal attributes.
12.99
Maximum skewness among attributes of the numeric type.
0.03
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
4.53
Third quartile of skewness among attributes of the numeric type.
220.25
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.66
First quartile of kurtosis among attributes of the numeric type.
2.29
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.
0.47
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
15.68
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.
11.01
Mean of means among attributes of the numeric type.
-0.59
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.
0.35
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.
2.63
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.07
Number of attributes divided by the number of instances.
1.85
Mean skewness among attributes of the numeric type.
1.45
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.
Percentage of instances belonging to the most frequent class.
7.22
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.
0.46
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-2
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.62
Second quartile (Median) of standard deviation of attributes of the numeric type.
216.76
Maximum kurtosis among attributes of the numeric type.
0.03
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
337.81
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.
27.09
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.
99.3
Percentage of numeric attributes.
5.06
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-2.87
Minimum skewness among attributes of the numeric type.
0.7
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.

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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