Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3267

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3267

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: CHEMBL3267 (TID: 11939), and it has 1273 rows and 137 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.

139 features

pXC50 (target)numeric605 unique values
0 missing
molecule_id (row identifier)nominal1273 unique values
0 missing
Eig07_AEA.bo.numeric546 unique values
0 missing
Eig07_EAnumeric555 unique values
0 missing
SM15_AEA.bo.numeric555 unique values
0 missing
Eig03_EA.bo.numeric548 unique values
0 missing
SM13_AEA.ri.numeric548 unique values
0 missing
Eig08_EA.ed.numeric739 unique values
0 missing
SM03_AEA.ri.numeric739 unique values
0 missing
Eig07_EA.bo.numeric600 unique values
0 missing
X4Anumeric39 unique values
0 missing
nNnumeric12 unique values
0 missing
Eig08_AEA.ed.numeric636 unique values
0 missing
Eig08_AEA.ri.numeric701 unique values
0 missing
CATS2D_06_DAnumeric7 unique values
0 missing
P_VSA_m_2numeric1073 unique values
0 missing
CATS2D_02_DAnumeric8 unique values
0 missing
GGI9numeric351 unique values
0 missing
SdOnumeric752 unique values
0 missing
O.058numeric5 unique values
0 missing
P_VSA_e_3numeric302 unique values
0 missing
NdOnumeric5 unique values
0 missing
NssNHnumeric5 unique values
0 missing
Eig07_AEA.ri.numeric696 unique values
0 missing
Eig07_EA.ri.numeric693 unique values
0 missing
GATS3mnumeric445 unique values
0 missing
PW4numeric74 unique values
0 missing
Eig08_EA.bo.numeric598 unique values
0 missing
SpMin6_Bh.e.numeric500 unique values
0 missing
C.031numeric3 unique values
0 missing
DLS_06numeric4 unique values
0 missing
C.027numeric6 unique values
0 missing
DECCnumeric615 unique values
0 missing
ICRnumeric494 unique values
0 missing
SpMax4_Bh.p.numeric574 unique values
0 missing
SpMax3_Bh.m.numeric450 unique values
0 missing
PW3numeric83 unique values
0 missing
TPSA.Tot.numeric583 unique values
0 missing
Eig10_EA.ed.numeric700 unique values
0 missing
SM05_AEA.ri.numeric700 unique values
0 missing
Eta_betanumeric159 unique values
0 missing
P_VSA_s_6numeric526 unique values
0 missing
Eig01_AEA.dm.numeric434 unique values
0 missing
SpMax_AEA.dm.numeric434 unique values
0 missing
DLS_02numeric5 unique values
0 missing
P_VSA_i_4numeric374 unique values
0 missing
nHetnumeric16 unique values
0 missing
GATS8pnumeric598 unique values
0 missing
SpMax5_Bh.i.numeric558 unique values
0 missing
SpMax4_Bh.v.numeric583 unique values
0 missing
DLS_07numeric2 unique values
0 missing
SpMax5_Bh.e.numeric583 unique values
0 missing
nPyridinesnumeric4 unique values
0 missing
SM10_EA.dm.numeric257 unique values
0 missing
SpDiam_AEA.dm.numeric437 unique values
0 missing
SM14_EA.dm.numeric215 unique values
0 missing
SpMax5_Bh.v.numeric573 unique values
0 missing
SRW09numeric95 unique values
0 missing
SpMin6_Bh.p.numeric477 unique values
0 missing
nCconjnumeric9 unique values
0 missing
C.numeric141 unique values
0 missing
SM08_EA.dm.numeric309 unique values
0 missing
TPSA.NO.numeric559 unique values
0 missing
P_VSA_s_5numeric46 unique values
0 missing
RDCHInumeric736 unique values
0 missing
SAaccnumeric616 unique values
0 missing
MATS8pnumeric541 unique values
0 missing
n135.Triazinesnumeric2 unique values
0 missing
nBMnumeric29 unique values
0 missing
Ucnumeric29 unique values
0 missing
Eig06_EA.bo.numeric570 unique values
0 missing
SpMax6_Bh.i.numeric541 unique values
0 missing
SpMax3_Bh.s.numeric434 unique values
0 missing
X2solnumeric846 unique values
0 missing
Eig01_EA.dm.numeric95 unique values
0 missing
SpMax_EA.dm.numeric95 unique values
0 missing
SM12_EA.dm.numeric237 unique values
0 missing
ZM1Pernumeric1149 unique values
0 missing
GATS8vnumeric544 unique values
0 missing
Eig09_EAnumeric557 unique values
0 missing
SM03_AEA.dm.numeric557 unique values
0 missing
CATS2D_09_DAnumeric8 unique values
0 missing
piPC07numeric700 unique values
0 missing
Eig11_AEA.ed.numeric570 unique values
0 missing
D.Dtr06numeric887 unique values
0 missing
ATS8pnumeric901 unique values
0 missing
JGI9numeric22 unique values
0 missing
Eig13_AEA.dm.numeric689 unique values
0 missing
Eig12_EA.ed.numeric665 unique values
0 missing
SM07_AEA.ri.numeric665 unique values
0 missing
DLS_03numeric4 unique values
0 missing
S3Knumeric943 unique values
0 missing
SpMax1_Bh.m.numeric312 unique values
0 missing
nN.C.N.numeric2 unique values
0 missing
ZM2Pernumeric1176 unique values
0 missing
piPC08numeric734 unique values
0 missing
Eig08_AEA.bo.numeric551 unique values
0 missing
Eta_betaPnumeric52 unique values
0 missing
SpMax5_Bh.p.numeric568 unique values
0 missing
nSO2Nnumeric2 unique values
0 missing
nHAccnumeric14 unique values
0 missing
LLS_02numeric5 unique values
0 missing
GGI10numeric244 unique values
0 missing
P_VSA_LogP_4numeric430 unique values
0 missing
SaasCnumeric1113 unique values
0 missing
piPC09numeric732 unique values
0 missing
X0solnumeric546 unique values
0 missing
nSnumeric3 unique values
0 missing
Vindexnumeric212 unique values
0 missing
Eig12_EA.ri.numeric716 unique values
0 missing
Eig14_AEA.ri.numeric743 unique values
0 missing
SpMax6_Bh.e.numeric556 unique values
0 missing
Eig07_AEA.dm.numeric675 unique values
0 missing
SpMax6_Bh.p.numeric565 unique values
0 missing
C.020numeric2 unique values
0 missing
SpMin4_Bh.e.numeric505 unique values
0 missing
SpDiam_EA.dm.numeric109 unique values
0 missing
SpMin5_Bh.i.numeric539 unique values
0 missing
SpMin5_Bh.v.numeric492 unique values
0 missing
Yindexnumeric476 unique values
0 missing
Eig08_EAnumeric560 unique values
0 missing
SM02_AEA.dm.numeric560 unique values
0 missing
Eig10_EA.ri.numeric721 unique values
0 missing
Psi_i_0numeric1029 unique values
0 missing
X3Anumeric44 unique values
0 missing
Eig10_EAnumeric539 unique values
0 missing
SM04_AEA.dm.numeric539 unique values
0 missing
SaaNnumeric979 unique values
0 missing
Eig14_EA.bo.numeric618 unique values
0 missing
ZM1Vnumeric219 unique values
0 missing
SM06_EA.dm.numeric348 unique values
0 missing
Eig06_EA.ed.numeric737 unique values
0 missing
SM15_AEA.dm.numeric737 unique values
0 missing
ZM1Madnumeric1098 unique values
0 missing
CATS2D_06_DPnumeric3 unique values
0 missing
P_VSA_p_2numeric568 unique values
0 missing
MATS1mnumeric218 unique values
0 missing
ATS2mnumeric632 unique values
0 missing
CATS2D_02_DDnumeric2 unique values
0 missing

62 properties

1273
Number of instances (rows) of the dataset.
139
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.
138
Number of numeric attributes.
1
Number of nominal attributes.
4.83
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.81
Third quartile of skewness among attributes of the numeric type.
176.72
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.23
First quartile of kurtosis among attributes of the numeric type.
1.85
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.
0.98
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
1.55
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.
26.93
Mean of means among attributes of the numeric type.
-0.44
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.23
First quartile of standard deviation of attributes of the numeric type.
0.2
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.
0.34
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.11
Number of attributes divided by the number of instances.
0.2
Mean skewness among attributes of the numeric type.
2.78
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.
8.03
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.
0.13
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.97
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.55
Second quartile (Median) of standard deviation of attributes of the numeric type.
33.39
Maximum kurtosis among attributes of the numeric type.
-0.08
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
699.94
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.
1.68
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.
99.28
Percentage of numeric attributes.
5.4
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.14
Minimum skewness among attributes of the numeric type.
0.72
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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