Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2148

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2148

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: CHEMBL2148 (TID: 10849), and it has 1580 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)numeric385 unique values
0 missing
molecule_id (row identifier)nominal1580 unique values
0 missing
nPyrrolesnumeric3 unique values
0 missing
NaasCnumeric14 unique values
0 missing
SpMin6_Bh.s.numeric628 unique values
0 missing
N.073numeric4 unique values
0 missing
SRW09numeric137 unique values
0 missing
SRW07numeric38 unique values
0 missing
C.042numeric3 unique values
0 missing
SpMin4_Bh.v.numeric565 unique values
0 missing
SpMax2_Bh.i.numeric315 unique values
0 missing
JGI4numeric47 unique values
0 missing
SpMin4_Bh.s.numeric640 unique values
0 missing
SsssNnumeric494 unique values
0 missing
NsssCHnumeric5 unique values
0 missing
C.026numeric9 unique values
0 missing
SpMin4_Bh.e.numeric642 unique values
0 missing
NsssNnumeric5 unique values
0 missing
SaaNnumeric1187 unique values
0 missing
C.008numeric4 unique values
0 missing
SpMax1_Bh.i.numeric282 unique values
0 missing
SpMin4_Bh.p.numeric555 unique values
0 missing
nCsp3numeric17 unique values
0 missing
NssCH2numeric15 unique values
0 missing
SM05_EA.bo.numeric809 unique values
0 missing
SM06_EA.bo.numeric804 unique values
0 missing
SM07_EA.bo.numeric890 unique values
0 missing
SssCH2numeric961 unique values
0 missing
SaasNnumeric297 unique values
0 missing
NaasNnumeric4 unique values
0 missing
SpMin1_Bh.s.numeric394 unique values
0 missing
Eig03_EA.ri.numeric677 unique values
0 missing
Eig02_AEA.bo.numeric571 unique values
0 missing
SpMin6_Bh.i.numeric635 unique values
0 missing
D.Dtr12numeric70 unique values
0 missing
MATS1inumeric540 unique values
0 missing
SpMin5_Bh.e.numeric611 unique values
0 missing
Rperimnumeric34 unique values
0 missing
C.032numeric4 unique values
0 missing
piPC05numeric805 unique values
0 missing
SM09_EA.bo.numeric941 unique values
0 missing
SM08_AEA.bo.numeric801 unique values
0 missing
Eta_betaS_Anumeric136 unique values
0 missing
D.Dtr09numeric815 unique values
0 missing
RCInumeric75 unique values
0 missing
piPC04numeric758 unique values
0 missing
SM04_EA.bo.numeric732 unique values
0 missing
nR12numeric8 unique values
0 missing
PW5numeric77 unique values
0 missing
MATS1mnumeric203 unique values
0 missing
DLS_04numeric9 unique values
0 missing
Eig04_AEA.ed.numeric845 unique values
0 missing
ATSC2mnumeric1388 unique values
0 missing
SpMAD_EA.ed.numeric731 unique values
0 missing
nR09numeric6 unique values
0 missing
nCrtnumeric4 unique values
0 missing
nArNHRnumeric3 unique values
0 missing
GATS1vnumeric447 unique values
0 missing
nCrsnumeric11 unique values
0 missing
GATS1inumeric685 unique values
0 missing
SpDiam_AEA.bo.numeric583 unique values
0 missing
Eig13_EAnumeric794 unique values
0 missing
SM07_AEA.dm.numeric794 unique values
0 missing
C.034numeric6 unique values
0 missing
X4vnumeric1272 unique values
0 missing
RFDnumeric68 unique values
0 missing
X2Anumeric71 unique values
0 missing
Eig01_EA.bo.numeric533 unique values
0 missing
SM11_AEA.ri.numeric533 unique values
0 missing
SpDiam_EA.bo.numeric536 unique values
0 missing
SpMax_EA.bo.numeric533 unique values
0 missing
Eig12_AEA.dm.numeric866 unique values
0 missing
SNarnumeric226 unique values
0 missing
nCb.numeric13 unique values
0 missing
P_VSA_i_1numeric24 unique values
0 missing
Eig13_AEA.ri.numeric948 unique values
0 missing
Eig13_EA.ri.numeric932 unique values
0 missing
Xtnumeric128 unique values
0 missing
nPyrimidinesnumeric3 unique values
0 missing
Eig13_AEA.dm.numeric864 unique values
0 missing
SpMin5_Bh.s.numeric649 unique values
0 missing
NNRSnumeric19 unique values
0 missing
CATS2D_02_ALnumeric17 unique values
0 missing
TRSnumeric38 unique values
0 missing
ATSC3vnumeric1422 unique values
0 missing
X3Anumeric63 unique values
0 missing
SM07_AEA.bo.numeric764 unique values
0 missing
piPC03numeric665 unique values
0 missing
Eig14_AEA.bo.numeric856 unique values
0 missing
Eig15_AEA.ri.numeric979 unique values
0 missing
CATS2D_05_AAnumeric8 unique values
0 missing
SRW05numeric10 unique values
0 missing
SM12_EA.bo.numeric979 unique values
0 missing
SM13_EA.bo.numeric983 unique values
0 missing
TWCnumeric822 unique values
0 missing
MATS1vnumeric198 unique values
0 missing
Eig13_EA.bo.numeric912 unique values
0 missing
MPC07numeric247 unique values
0 missing
MWC10numeric835 unique values
0 missing
SM14_EA.bo.numeric993 unique values
0 missing
Chi0_EA.ed.numeric1246 unique values
0 missing
H.047numeric34 unique values
0 missing
MPC08numeric295 unique values
0 missing
Eta_Lnumeric1318 unique values
0 missing
Eig13_EA.ed.numeric978 unique values
0 missing
SM08_AEA.ri.numeric978 unique values
0 missing
Eig12_AEA.ri.numeric923 unique values
0 missing
MWC09numeric799 unique values
0 missing
SpMax6_Bh.i.numeric647 unique values
0 missing
Eig15_EAnumeric826 unique values
0 missing
Eig15_EA.bo.numeric942 unique values
0 missing
Eig15_EA.ed.numeric1004 unique values
0 missing
Eig15_EA.ri.numeric980 unique values
0 missing
SM09_AEA.dm.numeric826 unique values
0 missing
SM10_AEA.ri.numeric1004 unique values
0 missing
nCICnumeric9 unique values
0 missing
Eig12_EAnumeric805 unique values
0 missing
SM06_AEA.dm.numeric805 unique values
0 missing
SpMin5_Bh.p.numeric602 unique values
0 missing
Eig14_EA.ed.numeric982 unique values
0 missing
SM09_AEA.ri.numeric982 unique values
0 missing
SM11_EA.bo.numeric983 unique values
0 missing
MATS1pnumeric347 unique values
0 missing
X4Anumeric49 unique values
0 missing
MPC06numeric201 unique values
0 missing
MWC08numeric796 unique values
0 missing
X5Anumeric40 unique values
0 missing
NaaaCnumeric7 unique values
0 missing
SM03_EA.bo.numeric138 unique values
0 missing
SIC0numeric193 unique values
0 missing
SpMin5_Bh.v.numeric592 unique values
0 missing
CATS2D_04_AAnumeric10 unique values
0 missing
Qindexnumeric41 unique values
0 missing
MPC10numeric379 unique values
0 missing
MPC01numeric45 unique values
0 missing
MWC01numeric45 unique values
0 missing
nBOnumeric45 unique values
0 missing
SRW02numeric45 unique values
0 missing
SpAD_EA.ri.numeric1496 unique values
0 missing
S.107numeric3 unique values
0 missing
nCsp2numeric27 unique values
0 missing
ATS3inumeric866 unique values
0 missing

62 properties

1580
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.
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.
0.09
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.5
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.
0.34
Mean skewness among attributes of the numeric type.
1.57
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
2.25
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.
0.12
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.56
Second quartile (Median) of standard deviation of attributes of the numeric type.
43.11
Maximum kurtosis among attributes of the numeric type.
-0.56
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
79.43
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.
1.66
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.
5.54
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-2.07
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.
6.27
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.79
Third quartile of skewness among attributes of the numeric type.
81.59
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.09
First quartile of kurtosis among attributes of the numeric type.
1.37
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.
0.46
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
1.75
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.
5.27
Mean of means among attributes of the numeric type.
-0.47
First quartile of skewness among attributes of the numeric type.
0.29
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.24
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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