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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL267

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL267

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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: CHEMBL267 (TID: 10434), and it has 3650 rows and 215 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.

217 features

pXC50 (target)numeric876 unique values
0 missing
molecule_id (row identifier)nominal3650 unique values
0 missing
nArNHRnumeric3 unique values
0 missing
N.068numeric3 unique values
0 missing
MATS2vnumeric500 unique values
0 missing
nRNR2numeric3 unique values
0 missing
Eig01_EA.bo.numeric753 unique values
0 missing
SM11_AEA.ri.numeric753 unique values
0 missing
SpMax_EA.bo.numeric753 unique values
0 missing
SpDiam_EA.bo.numeric753 unique values
0 missing
D.Dtr10numeric868 unique values
0 missing
SsssNnumeric954 unique values
0 missing
StNnumeric317 unique values
0 missing
Eta_betaS_Anumeric151 unique values
0 missing
CATS2D_02_ALnumeric18 unique values
0 missing
N.073numeric4 unique values
0 missing
NsssNnumeric5 unique values
0 missing
piPC09numeric1667 unique values
0 missing
piPC10numeric1716 unique values
0 missing
SRW10numeric1021 unique values
0 missing
piPC08numeric1528 unique values
0 missing
C.040numeric16 unique values
0 missing
SssNHnumeric1679 unique values
0 missing
P_VSA_MR_7numeric312 unique values
0 missing
piPC07numeric1451 unique values
0 missing
C.006numeric12 unique values
0 missing
CATS2D_03_AAnumeric8 unique values
0 missing
SssOnumeric1357 unique values
0 missing
nArCNnumeric3 unique values
0 missing
Eig01_AEA.bo.numeric578 unique values
0 missing
SpMax_AEA.bo.numeric578 unique values
0 missing
nArORnumeric7 unique values
0 missing
SpMax1_Bh.m.numeric494 unique values
0 missing
X4Anumeric55 unique values
0 missing
CATS2D_04_AAnumeric14 unique values
0 missing
SpDiam_EA.ed.numeric1516 unique values
0 missing
P_VSA_m_3numeric401 unique values
0 missing
GNarnumeric374 unique values
0 missing
NtNnumeric3 unique values
0 missing
Eig01_AEA.dm.numeric835 unique values
0 missing
SpDiam_AEA.dm.numeric837 unique values
0 missing
SpMax_AEA.dm.numeric835 unique values
0 missing
Eig01_AEA.ed.numeric765 unique values
0 missing
SpMax_AEA.ed.numeric765 unique values
0 missing
MPC09numeric382 unique values
0 missing
nR10numeric6 unique values
0 missing
CATS2D_02_DAnumeric21 unique values
0 missing
CATS2D_04_DLnumeric25 unique values
0 missing
nCb.numeric17 unique values
0 missing
SAdonnumeric247 unique values
0 missing
SaaNnumeric2063 unique values
0 missing
SpMax1_Bh.s.numeric332 unique values
0 missing
SpMax2_Bh.s.numeric579 unique values
0 missing
C.005numeric7 unique values
0 missing
nPO4numeric5 unique values
0 missing
P.117numeric5 unique values
0 missing
nOnumeric25 unique values
0 missing
Eig01_AEA.ri.numeric590 unique values
0 missing
SpMax_AEA.ri.numeric590 unique values
0 missing
SM06_AEA.ed.numeric1137 unique values
0 missing
N.075numeric7 unique values
0 missing
NaaNnumeric7 unique values
0 missing
nCspnumeric4 unique values
0 missing
nTBnumeric3 unique values
0 missing
NtsCnumeric4 unique values
0 missing
nArCOnumeric3 unique values
0 missing
piPC06numeric1319 unique values
0 missing
Psi_e_Anumeric936 unique values
0 missing
Psi_i_Anumeric936 unique values
0 missing
SM10_EA.dm.numeric637 unique values
0 missing
nNnumeric20 unique values
0 missing
SpDiam_EA.dm.numeric213 unique values
0 missing
H.049numeric6 unique values
0 missing
SM06_EA.bo.numeric1086 unique values
0 missing
CATS2D_01_ANnumeric11 unique values
0 missing
CATS2D_01_DNnumeric9 unique values
0 missing
DLS_07numeric3 unique values
0 missing
PHInumeric2350 unique values
0 missing
Eig01_EA.ed.numeric1248 unique values
0 missing
SM10_AEA.dm.numeric1248 unique values
0 missing
SpMax_EA.ed.numeric1248 unique values
0 missing
SM03_EA.ed.numeric595 unique values
0 missing
SM07_AEA.ed.numeric1207 unique values
0 missing
CATS2D_04_NLnumeric8 unique values
0 missing
NssOnumeric8 unique values
0 missing
SpMax8_Bh.e.numeric963 unique values
0 missing
NsOHnumeric11 unique values
0 missing
SM08_EA.bo.numeric1286 unique values
0 missing
MCDnumeric361 unique values
0 missing
SpMax7_Bh.i.numeric864 unique values
0 missing
SM08_AEA.ed.numeric1218 unique values
0 missing
SpMax8_Bh.m.numeric1032 unique values
0 missing
SpMax6_Bh.p.numeric890 unique values
0 missing
DLS_consnumeric76 unique values
0 missing
CATS2D_09_ANnumeric7 unique values
0 missing
CATS2D_03_NLnumeric8 unique values
0 missing
SM08_EAnumeric1206 unique values
0 missing
ATSC1snumeric2979 unique values
0 missing
SM09_AEA.ed.numeric1293 unique values
0 missing
CATS2D_06_NLnumeric7 unique values
0 missing
SpMax7_Bh.v.numeric918 unique values
0 missing
MPC07numeric282 unique values
0 missing
CATS2D_09_DNnumeric7 unique values
0 missing
SM10_EA.ed.numeric1693 unique values
0 missing
MATS1snumeric406 unique values
0 missing
SM13_EA.ed.numeric1828 unique values
0 missing
SM06_EA.ed.numeric1384 unique values
0 missing
CATS2D_05_NLnumeric7 unique values
0 missing
ATS7inumeric1573 unique values
0 missing
SM11_EA.bo.numeric1488 unique values
0 missing
SM06_EA.dm.numeric843 unique values
0 missing
MATS2enumeric726 unique values
0 missing
CATS2D_04_DAnumeric13 unique values
0 missing
CATS2D_08_DNnumeric7 unique values
0 missing
MWC10numeric1128 unique values
0 missing
Hynumeric904 unique values
0 missing
P_VSA_LogP_4numeric939 unique values
0 missing
piPC04numeric1020 unique values
0 missing
SM05_EA.ed.numeric1318 unique values
0 missing
SM14_EA.dm.numeric547 unique values
0 missing
GATS2enumeric1042 unique values
0 missing
PCRnumeric513 unique values
0 missing
CATS2D_05_DLnumeric30 unique values
0 missing
CATS2D_09_DDnumeric14 unique values
0 missing
MWC09numeric1081 unique values
0 missing
TWCnumeric1089 unique values
0 missing
CATS2D_03_DAnumeric14 unique values
0 missing
SM05_EA.ri.numeric1248 unique values
0 missing
MPC08numeric339 unique values
0 missing
nROHnumeric10 unique values
0 missing
SM09_EAnumeric1299 unique values
0 missing
SpMax8_Bh.v.numeric995 unique values
0 missing
DBInumeric130 unique values
0 missing
MWC08numeric1057 unique values
0 missing
P_VSA_LogP_5numeric1919 unique values
0 missing
NaasCnumeric16 unique values
0 missing
C.039numeric4 unique values
0 missing
P_VSA_i_4numeric737 unique values
0 missing
SpMax7_Bh.p.numeric907 unique values
0 missing
H.047numeric39 unique values
0 missing
SM12_EA.ed.numeric1786 unique values
0 missing
P_VSA_v_2numeric1648 unique values
0 missing
SM15_EA.ed.numeric1841 unique values
0 missing
X5Anumeric45 unique values
0 missing
SM10_EA.bo.numeric1421 unique values
0 missing
SM09_EA.bo.numeric1416 unique values
0 missing
StsCnumeric275 unique values
0 missing
Eig01_EAnumeric568 unique values
0 missing
SM09_AEA.bo.numeric568 unique values
0 missing
SpDiam_EAnumeric568 unique values
0 missing
SpMax_EAnumeric568 unique values
0 missing
SpMin8_Bh.i.numeric913 unique values
0 missing
SM10_EAnumeric1336 unique values
0 missing
Eig02_AEA.dm.numeric971 unique values
0 missing
SpMin8_Bh.v.numeric902 unique values
0 missing
SpMax8_Bh.p.numeric979 unique values
0 missing
TPSA.NO.numeric1422 unique values
0 missing
CATS2D_02_DLnumeric18 unique values
0 missing
SM07_EA.bo.numeric1247 unique values
0 missing
IC1numeric1053 unique values
0 missing
SM14_EA.bo.numeric1612 unique values
0 missing
GGI9numeric658 unique values
0 missing
SM15_EA.bo.numeric1660 unique values
0 missing
SM03_EA.ri.numeric1045 unique values
0 missing
SpMax8_Bh.s.numeric1227 unique values
0 missing
SpMax7_Bh.e.numeric897 unique values
0 missing
SpDiam_EA.ri.numeric606 unique values
0 missing
SM12_EA.bo.numeric1523 unique values
0 missing
Neoplastic.80numeric2 unique values
0 missing
SM08_EA.dm.numeric740 unique values
0 missing
nRCONHRnumeric12 unique values
0 missing
Eig04_AEA.ed.numeric1156 unique values
0 missing
SM12_EA.dm.numeric591 unique values
0 missing
MPC05numeric196 unique values
0 missing
SpMin1_Bh.e.numeric248 unique values
0 missing
SM06_AEA.bo.numeric1009 unique values
0 missing
Eig01_EA.ri.numeric604 unique values
0 missing
SpMax_EA.ri.numeric604 unique values
0 missing
SpMax6_Bh.s.numeric1135 unique values
0 missing
SM04_EA.dm.numeric906 unique values
0 missing
SM13_EA.bo.numeric1597 unique values
0 missing
SaasCnumeric2760 unique values
0 missing
nHDonnumeric24 unique values
0 missing
Eig09_AEA.bo.numeric1234 unique values
0 missing
H.050numeric24 unique values
0 missing
X0solnumeric1381 unique values
0 missing
CATS2D_08_DLnumeric26 unique values
0 missing
SpMax8_Bh.i.numeric968 unique values
0 missing
P_VSA_p_2numeric1445 unique values
0 missing
MAXDNnumeric1862 unique values
0 missing
SM08_EA.ed.numeric1581 unique values
0 missing
P_VSA_LogP_8numeric32 unique values
0 missing
Eig08_AEA.dm.numeric1380 unique values
0 missing
H.051numeric13 unique values
0 missing
ATSC3enumeric1022 unique values
0 missing
MATS4enumeric570 unique values
0 missing
SM05_EA.bo.numeric1049 unique values
0 missing
nHAccnumeric34 unique values
0 missing
SM11_EA.dm.numeric280 unique values
0 missing
SpMAD_EA.ri.numeric235 unique values
0 missing
nCIRnumeric22 unique values
0 missing
SM06_EA.ri.numeric1215 unique values
0 missing
piPC03numeric886 unique values
0 missing
piPC05numeric1120 unique values
0 missing
SpMin8_Bh.m.numeric903 unique values
0 missing
Eig09_AEA.ed.numeric1438 unique values
0 missing
SM13_EA.dm.numeric279 unique values
0 missing
nCICnumeric9 unique values
0 missing
Eig08_EA.bo.numeric1245 unique values
0 missing
X4solnumeric2477 unique values
0 missing
SdssCnumeric1322 unique values
0 missing
Eig02_EA.bo.numeric850 unique values
0 missing
SM12_AEA.ri.numeric850 unique values
0 missing
ZM2Madnumeric3255 unique values
0 missing
Eta_Lnumeric2652 unique values
0 missing
SM04_EA.ed.numeric1204 unique values
0 missing
SAaccnumeric1548 unique values
0 missing

62 properties

3650
Number of instances (rows) of the dataset.
217
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.
216
Number of numeric attributes.
1
Number of nominal attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
99.54
Percentage of numeric attributes.
0.46
Percentage of nominal attributes.
First quartile of entropy among attributes.
0.81
First quartile of kurtosis among attributes of the numeric type.
1.03
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.19
First quartile of skewness among attributes of the numeric type.
0.29
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
2.02
Second quartile (Median) of kurtosis among attributes of the numeric type.
3.94
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.37
Second quartile (Median) of skewness among attributes of the numeric type.
0.54
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
7.81
Third quartile of kurtosis among attributes of the numeric type.
7.87
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
2.27
Third quartile of skewness among attributes of the numeric type.
1.53
Third quartile of standard deviation of attributes of the numeric type.
-0.03
Average class difference between consecutive instances.
10.8
Mean of means among attributes of the numeric type.
Entropy of the target attribute values.
0.06
Number of attributes divided by the number of instances.
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.
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
189.26
Maximum kurtosis among attributes of the numeric type.
229.51
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
12.61
Maximum skewness among attributes of the numeric type.
100.52
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
9.06
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Average number of distinct values among the attributes of the nominal type.
1.1
Mean skewness among attributes of the numeric type.
5.11
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-2
Minimum kurtosis among attributes of the numeric type.
-0.53
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
-6.97
Minimum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.

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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