Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2409

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2409

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: CHEMBL2409 (TID: 11727), and it has 1174 rows and 136 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.

138 features

pXC50 (target)numeric504 unique values
0 missing
molecule_id (row identifier)nominal1174 unique values
0 missing
GGI6numeric342 unique values
0 missing
Eig07_EA.bo.numeric477 unique values
0 missing
Eig07_AEA.bo.numeric482 unique values
0 missing
X4Anumeric57 unique values
0 missing
ATSC3inumeric740 unique values
0 missing
SM10_EAnumeric664 unique values
0 missing
Eig07_EAnumeric435 unique values
0 missing
SM15_AEA.bo.numeric435 unique values
0 missing
SM11_EAnumeric637 unique values
0 missing
Eig06_AEA.bo.numeric509 unique values
0 missing
ATS3vnumeric642 unique values
0 missing
SpMax2_Bh.e.numeric276 unique values
0 missing
ATSC5inumeric788 unique values
0 missing
SM05_EA.ed.numeric601 unique values
0 missing
Eig05_EA.ri.numeric589 unique values
0 missing
SM12_EAnumeric652 unique values
0 missing
Psi_i_1numeric966 unique values
0 missing
X3solnumeric794 unique values
0 missing
X3vnumeric1051 unique values
0 missing
Eig08_EAnumeric474 unique values
0 missing
SM02_AEA.dm.numeric474 unique values
0 missing
SpAD_AEA.ed.numeric840 unique values
0 missing
Eig07_AEA.ri.numeric536 unique values
0 missing
Eig08_AEA.dm.numeric490 unique values
0 missing
X5solnumeric791 unique values
0 missing
Eig04_AEA.dm.numeric528 unique values
0 missing
Eig06_EA.bo.numeric520 unique values
0 missing
SpAD_AEA.ri.numeric1086 unique values
0 missing
SpAD_EAnumeric838 unique values
0 missing
D.Dtr06numeric839 unique values
0 missing
RDSQnumeric849 unique values
0 missing
Eig04_EAnumeric487 unique values
0 missing
SM12_AEA.bo.numeric487 unique values
0 missing
SpMAD_AEA.ed.numeric210 unique values
0 missing
Eig12_AEA.ed.numeric417 unique values
0 missing
SpAD_EA.ri.numeric1087 unique values
0 missing
ATS2vnumeric585 unique values
0 missing
Eig07_EA.ri.numeric533 unique values
0 missing
SRW08numeric545 unique values
0 missing
MPC10numeric195 unique values
0 missing
MPC06numeric154 unique values
0 missing
SM06_EAnumeric582 unique values
0 missing
GGI9numeric270 unique values
0 missing
MPC07numeric172 unique values
0 missing
nRCOOHnumeric3 unique values
0 missing
SRW10numeric594 unique values
0 missing
SM02_EA.ed.numeric375 unique values
0 missing
SpMax2_Bh.v.numeric326 unique values
0 missing
ATSC8inumeric763 unique values
0 missing
SM04_AEA.ed.numeric570 unique values
0 missing
MPC08numeric193 unique values
0 missing
SpMax2_Bh.m.numeric386 unique values
0 missing
X1Anumeric77 unique values
0 missing
ATS4pnumeric693 unique values
0 missing
ATS4vnumeric686 unique values
0 missing
ATS4snumeric690 unique values
0 missing
X4vnumeric1035 unique values
0 missing
MWC10numeric634 unique values
0 missing
Eig12_AEA.ri.numeric569 unique values
0 missing
SM03_AEA.ed.numeric484 unique values
0 missing
SM05_AEA.ed.numeric608 unique values
0 missing
SpMax2_Bh.p.numeric345 unique values
0 missing
SM04_EAnumeric245 unique values
0 missing
MWC08numeric605 unique values
0 missing
Eig07_EA.ed.numeric603 unique values
0 missing
SM02_AEA.ri.numeric603 unique values
0 missing
MWC09numeric620 unique values
0 missing
TWCnumeric619 unique values
0 missing
MWC06numeric589 unique values
0 missing
nROHnumeric4 unique values
0 missing
X2vnumeric1038 unique values
0 missing
MWC07numeric595 unique values
0 missing
ATSC6inumeric776 unique values
0 missing
Qindexnumeric34 unique values
0 missing
ATS3pnumeric678 unique values
0 missing
MPC05numeric130 unique values
0 missing
SM06_AEA.ed.numeric606 unique values
0 missing
SpMAD_AEA.dm.numeric226 unique values
0 missing
SM03_EA.ed.numeric340 unique values
0 missing
SM05_EAnumeric128 unique values
0 missing
Eig08_AEA.ed.numeric543 unique values
0 missing
SpMax8_Bh.m.numeric426 unique values
0 missing
SpMin3_Bh.i.numeric433 unique values
0 missing
SM07_EAnumeric487 unique values
0 missing
SRW06numeric372 unique values
0 missing
SpMin3_Bh.e.numeric426 unique values
0 missing
Eig04_EA.ri.numeric578 unique values
0 missing
MWC05numeric545 unique values
0 missing
Xindexnumeric279 unique values
0 missing
SM08_EAnumeric653 unique values
0 missing
Eig09_EA.bo.numeric474 unique values
0 missing
SM04_EA.ed.numeric649 unique values
0 missing
Eig05_EAnumeric490 unique values
0 missing
SM13_AEA.bo.numeric490 unique values
0 missing
Eig14_EA.ri.numeric588 unique values
0 missing
TPCnumeric504 unique values
0 missing
SpMax8_Bh.v.numeric438 unique values
0 missing
MPC09numeric186 unique values
0 missing
MPC04numeric101 unique values
0 missing
Wapnumeric694 unique values
0 missing
ATSC7inumeric771 unique values
0 missing
Eig11_EAnumeric420 unique values
0 missing
SM05_AEA.dm.numeric420 unique values
0 missing
SM07_AEA.bo.numeric647 unique values
0 missing
SM07_AEA.ed.numeric633 unique values
0 missing
X3Anumeric73 unique values
0 missing
MWC04numeric353 unique values
0 missing
Eig14_AEA.bo.numeric458 unique values
0 missing
Eig13_EAnumeric494 unique values
0 missing
SM07_AEA.dm.numeric494 unique values
0 missing
nCIRnumeric14 unique values
0 missing
Eig13_EA.ri.numeric620 unique values
0 missing
Eig13_AEA.bo.numeric489 unique values
0 missing
Eig04_EA.ed.numeric612 unique values
0 missing
SM13_AEA.dm.numeric612 unique values
0 missing
piPC06numeric669 unique values
0 missing
SM06_AEA.bo.numeric581 unique values
0 missing
GATS2inumeric510 unique values
0 missing
SM02_AEA.ed.numeric188 unique values
0 missing
SM08_AEA.bo.numeric668 unique values
0 missing
NsOHnumeric5 unique values
0 missing
SsOHnumeric188 unique values
0 missing
Eig13_EA.ed.numeric558 unique values
0 missing
SM08_AEA.ri.numeric558 unique values
0 missing
X4numeric797 unique values
0 missing
SpMin2_Bh.s.numeric340 unique values
0 missing
ATS3snumeric644 unique values
0 missing
SpAD_EA.ed.numeric847 unique values
0 missing
ATS2pnumeric613 unique values
0 missing
Vindexnumeric213 unique values
0 missing
MPC03numeric72 unique values
0 missing
Eig07_AEA.ed.numeric506 unique values
0 missing
ATSC4pnumeric1092 unique values
0 missing
SpMax8_Bh.p.numeric435 unique values
0 missing
ZM2Madnumeric988 unique values
0 missing
Eig14_EAnumeric448 unique values
0 missing

62 properties

1174
Number of instances (rows) of the dataset.
138
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.
137
Number of numeric attributes.
1
Number of nominal attributes.
0.76
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.12
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
4.15
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.
-0.31
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
158.89
Mean standard deviation of attributes of the numeric type.
-0.65
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
0.43
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.14
Minimum kurtosis among attributes of the numeric type.
-0.19
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
102.81
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
1.52
Third quartile of kurtosis among attributes of the numeric type.
20529.51
Maximum of means among attributes of the numeric type.
The minimal number of distinct values among attributes of the nominal type.
99.28
Percentage of numeric attributes.
8.43
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-1.74
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.
The maximum number of distinct values among attributes of the nominal type.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.1
Third quartile of skewness among attributes of the numeric type.
6.72
Maximum skewness among attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.01
First quartile of kurtosis among attributes of the numeric type.
0.67
Third quartile of standard deviation of attributes of the numeric type.
21320.44
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
1.61
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
2.03
Mean kurtosis among attributes of the numeric type.
-0.99
First quartile of skewness among attributes of the numeric type.
162.02
Mean of means among attributes of the numeric type.
0.28
First quartile of standard deviation of attributes of the numeric type.
-0.06
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among 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.

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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