Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1862

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1862

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: CHEMBL1862 (TID: 8), and it has 1739 rows and 142 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.

144 features

pXC50 (target)numeric514 unique values
0 missing
molecule_id (row identifier)nominal1739 unique values
0 missing
CMC.80numeric2 unique values
0 missing
nR.C.numeric3 unique values
0 missing
P_VSA_v_3numeric1503 unique values
0 missing
Neoplastic.80numeric2 unique values
0 missing
C.022numeric3 unique values
0 missing
NtsCnumeric4 unique values
0 missing
Infective.80numeric2 unique values
0 missing
P_VSA_p_3numeric1506 unique values
0 missing
nCspnumeric4 unique values
0 missing
DLS_02numeric6 unique values
0 missing
SM06_EA.ed.numeric966 unique values
0 missing
AMRnumeric1565 unique values
0 missing
SpMax3_Bh.m.numeric509 unique values
0 missing
SpMax4_Bh.i.numeric661 unique values
0 missing
C.006numeric10 unique values
0 missing
piIDnumeric1243 unique values
0 missing
SM09_AEA.ed.numeric924 unique values
0 missing
Eig08_EAnumeric785 unique values
0 missing
SM02_AEA.dm.numeric785 unique values
0 missing
SpMin2_Bh.i.numeric325 unique values
0 missing
X4numeric1292 unique values
0 missing
SM14_AEA.ed.numeric1025 unique values
0 missing
SM12_EAnumeric1025 unique values
0 missing
Hypertens.80numeric2 unique values
0 missing
P_VSA_e_1numeric73 unique values
0 missing
SM13_AEA.ed.numeric1023 unique values
0 missing
SM10_AEA.ed.numeric929 unique values
0 missing
SM11_AEA.ed.numeric979 unique values
0 missing
N.068numeric3 unique values
0 missing
P_VSA_m_1numeric48 unique values
0 missing
P_VSA_v_1numeric48 unique values
0 missing
SM13_EAnumeric1025 unique values
0 missing
SM11_EAnumeric959 unique values
0 missing
SM15_AEA.ed.numeric1050 unique values
0 missing
SM10_EAnumeric931 unique values
0 missing
nRNR2numeric3 unique values
0 missing
SpMin2_Bh.e.numeric319 unique values
0 missing
SpAD_AEA.ri.numeric1646 unique values
0 missing
ZM2Madnumeric1608 unique values
0 missing
Eig08_AEA.bo.numeric796 unique values
0 missing
X3vnumeric1421 unique values
0 missing
ATS2pnumeric805 unique values
0 missing
SM09_EAnumeric935 unique values
0 missing
Eig09_EA.bo.numeric881 unique values
0 missing
SM14_EAnumeric1035 unique values
0 missing
Eig09_AEA.bo.numeric803 unique values
0 missing
Inflammat.80numeric2 unique values
0 missing
SpMax3_Bh.i.numeric461 unique values
0 missing
PCDnumeric1135 unique values
0 missing
SM06_AEA.bo.numeric772 unique values
0 missing
GGI3numeric325 unique values
0 missing
Eig01_EAnumeric468 unique values
0 missing
SM09_AEA.bo.numeric468 unique values
0 missing
SpDiam_EAnumeric468 unique values
0 missing
SpMax_EAnumeric468 unique values
0 missing
piPC03numeric665 unique values
0 missing
SssssCnumeric236 unique values
0 missing
Eig04_EAnumeric707 unique values
0 missing
SM12_AEA.bo.numeric707 unique values
0 missing
SM07_EA.ed.numeric1016 unique values
0 missing
SM08_EA.ed.numeric1038 unique values
0 missing
SRW10numeric786 unique values
0 missing
X2solnumeric1305 unique values
0 missing
Eig11_AEA.dm.numeric892 unique values
0 missing
SM15_EAnumeric1041 unique values
0 missing
DECCnumeric932 unique values
0 missing
MWC05numeric716 unique values
0 missing
SM04_EA.bo.numeric721 unique values
0 missing
D.Dtr06numeric1405 unique values
0 missing
ATS2mnumeric810 unique values
0 missing
MAXDNnumeric1148 unique values
0 missing
Eig15_EA.ed.numeric1036 unique values
0 missing
SM10_AEA.ri.numeric1036 unique values
0 missing
X0vnumeric1428 unique values
0 missing
SM04_EA.ri.numeric845 unique values
0 missing
SM04_AEA.ed.numeric787 unique values
0 missing
H.047numeric31 unique values
0 missing
SpMin2_Bh.p.numeric261 unique values
0 missing
X1vnumeric1487 unique values
0 missing
MPC09numeric320 unique values
0 missing
TPCnumeric967 unique values
0 missing
SpMax4_Bh.p.numeric736 unique values
0 missing
ZM1Madnumeric1545 unique values
0 missing
nABnumeric26 unique values
0 missing
Eig09_AEA.ri.numeric884 unique values
0 missing
SPInumeric1330 unique values
0 missing
MPC10numeric346 unique values
0 missing
ATS3mnumeric823 unique values
0 missing
SM07_AEA.bo.numeric781 unique values
0 missing
Eig09_EAnumeric788 unique values
0 missing
SM03_AEA.dm.numeric788 unique values
0 missing
X0solnumeric806 unique values
0 missing
Eig08_AEA.ri.numeric873 unique values
0 missing
Eta_betanumeric194 unique values
0 missing
Eig14_AEA.bo.numeric883 unique values
0 missing
ALOGPnumeric1364 unique values
0 missing
ALOGP2numeric1543 unique values
0 missing
GGI6numeric724 unique values
0 missing
SpMax4_Bh.e.numeric686 unique values
0 missing
ATS4mnumeric888 unique values
0 missing
SAtotnumeric1529 unique values
0 missing
Eig10_EA.bo.numeric883 unique values
0 missing
VvdwMGnumeric1275 unique values
0 missing
Vxnumeric1275 unique values
0 missing
SM09_EA.ed.numeric1071 unique values
0 missing
MATS5pnumeric476 unique values
0 missing
ATS1mnumeric757 unique values
0 missing
SpMax7_Bh.v.numeric683 unique values
0 missing
X5numeric1278 unique values
0 missing
StsCnumeric192 unique values
0 missing
MATS5vnumeric487 unique values
0 missing
IACnumeric1279 unique values
0 missing
TIC0numeric1279 unique values
0 missing
P_VSA_MR_1numeric132 unique values
0 missing
Eig10_AEA.ri.numeric913 unique values
0 missing
N.075numeric7 unique values
0 missing
NaaNnumeric7 unique values
0 missing
Eta_Cnumeric1656 unique values
0 missing
SM05_AEA.ed.numeric802 unique values
0 missing
TRSnumeric37 unique values
0 missing
XMODnumeric1571 unique values
0 missing
TWCnumeric814 unique values
0 missing
ATSC1inumeric743 unique values
0 missing
SpMax5_Bh.m.numeric753 unique values
0 missing
SsFnumeric463 unique values
0 missing
ZM2Vnumeric445 unique values
0 missing
MDDDnumeric1357 unique values
0 missing
ZM2MulPernumeric1615 unique values
0 missing
SM11_EA.ri.numeric1048 unique values
0 missing
SpAD_AEA.ed.numeric1386 unique values
0 missing
Eig09_EA.ri.numeric871 unique values
0 missing
LPRSnumeric1405 unique values
0 missing
SpMax4_Bh.m.numeric677 unique values
0 missing
X2numeric1282 unique values
0 missing
Eig08_EA.bo.numeric832 unique values
0 missing
Eig05_AEA.bo.numeric759 unique values
0 missing
Eig10_EA.ri.numeric901 unique values
0 missing
Eig08_EA.ri.numeric874 unique values
0 missing
Xunumeric1356 unique values
0 missing
Eig10_AEA.ed.numeric866 unique values
0 missing
SM04_AEA.bo.numeric725 unique values
0 missing
ZM2Pernumeric1594 unique values
0 missing

62 properties

1739
Number of instances (rows) of the dataset.
144
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.
143
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.
0.08
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
2.01
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.
0.22
Mean skewness among attributes of the numeric type.
5.23
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
12.91
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.
-0.23
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.99
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.57
Second quartile (Median) of standard deviation of attributes of the numeric type.
51.36
Maximum kurtosis among attributes of the numeric type.
-0.59
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
700.75
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.
6.75
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.
99.31
Percentage of numeric attributes.
18.99
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-2.93
Minimum skewness among attributes of the numeric type.
0.69
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
4.89
Maximum skewness among attributes of the numeric type.
0.07
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.26
Third quartile of skewness among attributes of the numeric type.
179.48
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.76
First quartile of kurtosis among attributes of the numeric type.
3.52
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.
1.96
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
5.09
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.
42.83
Mean of means among attributes of the numeric type.
-0.46
First quartile of skewness among attributes of the numeric type.
0.05
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.32
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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