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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL225

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL225

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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: CHEMBL225 (TID: 108), and it has 2869 rows and 139 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.

141 features

pXC50 (target)numeric1187 unique values
0 missing
molecule_id (row identifier)nominal2869 unique values
0 missing
nCONNnumeric3 unique values
0 missing
SM07_EA.dm.numeric206 unique values
0 missing
SM09_EA.dm.numeric192 unique values
0 missing
SM05_EA.dm.numeric198 unique values
0 missing
nCb.numeric12 unique values
0 missing
PCDnumeric1363 unique values
0 missing
GATS1mnumeric540 unique values
0 missing
GATS2mnumeric571 unique values
0 missing
SM10_EA.dm.numeric390 unique values
0 missing
SM06_EA.dm.numeric518 unique values
0 missing
BIC3numeric201 unique values
0 missing
ATSC7enumeric921 unique values
0 missing
SM08_EA.dm.numeric458 unique values
0 missing
C.027numeric5 unique values
0 missing
SM02_EA.dm.numeric532 unique values
0 missing
C.026numeric9 unique values
0 missing
N.072numeric5 unique values
0 missing
Eig02_EA.dm.numeric127 unique values
0 missing
NssCH2numeric17 unique values
0 missing
MATS1mnumeric267 unique values
0 missing
P_VSA_LogP_4numeric319 unique values
0 missing
JGI5numeric46 unique values
0 missing
SIC5numeric208 unique values
0 missing
SM15_EA.dm.numeric162 unique values
0 missing
SM12_EA.dm.numeric360 unique values
0 missing
P_VSA_LogP_5numeric1381 unique values
0 missing
P_VSA_LogP_8numeric30 unique values
0 missing
SM13_EA.dm.numeric166 unique values
0 missing
nCsnumeric15 unique values
0 missing
GATS6snumeric1217 unique values
0 missing
SM14_EA.dm.numeric339 unique values
0 missing
nCbHnumeric18 unique values
0 missing
ATSC6vnumeric2535 unique values
0 missing
H.049numeric5 unique values
0 missing
Eta_sh_pnumeric284 unique values
0 missing
NRSnumeric6 unique values
0 missing
SpMax2_Bh.e.numeric473 unique values
0 missing
X.numeric94 unique values
0 missing
C.041numeric3 unique values
0 missing
CIC4numeric701 unique values
0 missing
SM11_EA.dm.numeric173 unique values
0 missing
CIC3numeric807 unique values
0 missing
ATS6inumeric1353 unique values
0 missing
SIC3numeric235 unique values
0 missing
CATS2D_05_DLnumeric12 unique values
0 missing
SpMax2_Bh.i.numeric433 unique values
0 missing
SpDiam_AEA.dm.numeric803 unique values
0 missing
SssOnumeric869 unique values
0 missing
MATS7inumeric616 unique values
0 missing
BIC5numeric178 unique values
0 missing
JGI4numeric54 unique values
0 missing
BIC2numeric262 unique values
0 missing
SpMin1_Bh.p.numeric239 unique values
0 missing
SM04_EA.dm.numeric578 unique values
0 missing
IC1numeric941 unique values
0 missing
SRW09numeric135 unique values
0 missing
IC2numeric1013 unique values
0 missing
ATSC6pnumeric2480 unique values
0 missing
ATSC5vnumeric2527 unique values
0 missing
Eig01_EAnumeric592 unique values
0 missing
SM09_AEA.bo.numeric592 unique values
0 missing
SpDiam_EAnumeric592 unique values
0 missing
SpMax_EAnumeric592 unique values
0 missing
MATS2vnumeric380 unique values
0 missing
SpMin4_Bh.s.numeric736 unique values
0 missing
GATS6enumeric1123 unique values
0 missing
nPyrazinesnumeric2 unique values
0 missing
MATS1enumeric367 unique values
0 missing
GATS2vnumeric426 unique values
0 missing
MATS1vnumeric202 unique values
0 missing
nArNR2numeric4 unique values
0 missing
piPC09numeric1457 unique values
0 missing
SIC2numeric283 unique values
0 missing
D.Dtr11numeric251 unique values
0 missing
BIC1numeric298 unique values
0 missing
SpAD_EA.dm.numeric607 unique values
0 missing
SpMin4_Bh.e.numeric729 unique values
0 missing
SIC4numeric215 unique values
0 missing
SpMax2_Bh.v.numeric559 unique values
0 missing
nR11numeric5 unique values
0 missing
SaasCnumeric2260 unique values
0 missing
P_VSA_LogP_2numeric418 unique values
0 missing
H.047numeric33 unique values
0 missing
P_VSA_p_2numeric618 unique values
0 missing
ATS6enumeric1353 unique values
0 missing
SpMin1_Bh.v.numeric251 unique values
0 missing
SpMAD_AEA.ed.numeric224 unique values
0 missing
Eig05_EA.dm.numeric74 unique values
0 missing
HVcpxnumeric1096 unique values
0 missing
D.Dtr10numeric543 unique values
0 missing
CATS2D_07_AAnumeric9 unique values
0 missing
SpMin2_Bh.m.numeric343 unique values
0 missing
nCconjnumeric8 unique values
0 missing
ATSC7vnumeric2501 unique values
0 missing
SpMin4_Bh.m.numeric657 unique values
0 missing
RBNnumeric17 unique values
0 missing
SM12_EA.ed.numeric1469 unique values
0 missing
SpMin5_Bh.m.numeric717 unique values
0 missing
nR06numeric8 unique values
0 missing
SM03_EA.dm.numeric96 unique values
0 missing
SpMin5_Bh.e.numeric794 unique values
0 missing
Eig01_EA.ed.numeric1029 unique values
0 missing
SM10_AEA.dm.numeric1029 unique values
0 missing
SpMax_EA.ed.numeric1029 unique values
0 missing
ATSC7snumeric2641 unique values
0 missing
PCRnumeric404 unique values
0 missing
SpDiam_EA.bo.numeric780 unique values
0 missing
nArORnumeric5 unique values
0 missing
SRW07numeric34 unique values
0 missing
SIC1numeric325 unique values
0 missing
ATSC7pnumeric2444 unique values
0 missing
MATS2pnumeric409 unique values
0 missing
SsFnumeric781 unique values
0 missing
NssOnumeric7 unique values
0 missing
SpMax5_Bh.s.numeric1092 unique values
0 missing
ATS5pnumeric1279 unique values
0 missing
SM11_EA.ed.numeric1469 unique values
0 missing
ATSC5pnumeric2479 unique values
0 missing
C.006numeric12 unique values
0 missing
Eig01_AEA.ed.numeric711 unique values
0 missing
SpMax_AEA.ed.numeric711 unique values
0 missing
Eig02_EA.ed.numeric1267 unique values
0 missing
SM11_AEA.dm.numeric1267 unique values
0 missing
P_VSA_LogP_3numeric231 unique values
0 missing
SpMax6_Bh.v.numeric884 unique values
0 missing
SpMax2_Bh.p.numeric568 unique values
0 missing
SM15_EA.bo.numeric1490 unique values
0 missing
SM10_EA.ed.numeric1467 unique values
0 missing
BIC4numeric179 unique values
0 missing
SsssNnumeric1457 unique values
0 missing
DECCnumeric1034 unique values
0 missing
ATSC6mnumeric2635 unique values
0 missing
Eta_B_Anumeric37 unique values
0 missing
IVDEnumeric386 unique values
0 missing
TPSA.NO.numeric623 unique values
0 missing
RBFnumeric155 unique values
0 missing
SM09_EA.ed.numeric1431 unique values
0 missing
JGI8numeric28 unique values
0 missing
Eig01_AEA.dm.numeric796 unique values
0 missing

62 properties

2869
Number of instances (rows) of the dataset.
141
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.
140
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.
99.29
Percentage of numeric attributes.
0.71
Percentage of nominal attributes.
First quartile of entropy among attributes.
0.21
First quartile of kurtosis among attributes of the numeric type.
0.82
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
First quartile of skewness among attributes of the numeric type.
0.17
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.91
Second quartile (Median) of kurtosis among attributes of the numeric type.
2.74
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.
0.51
Second quartile (Median) of skewness among attributes of the numeric type.
0.65
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
3.55
Third quartile of kurtosis among attributes of the numeric type.
6.24
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
1.45
Third quartile of skewness among attributes of the numeric type.
2.65
Third quartile of standard deviation of attributes of the numeric type.
-0.1
Average class difference between consecutive instances.
6.78
Mean of means among attributes of the numeric type.
Entropy of the target attribute values.
0.05
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.
473.89
Maximum kurtosis among attributes of the numeric type.
69.17
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.
14.85
Maximum skewness among attributes of the numeric type.
60.35
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
15.39
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.
1.05
Mean skewness among attributes of the numeric type.
3.92
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-0.95
Minimum kurtosis among attributes of the numeric type.
-0.01
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.
-1.4
Minimum skewness among attributes of the numeric type.
0
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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