Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3587

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3587

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: CHEMBL3587 (TID: 11409), and it has 927 rows and 138 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.

140 features

pXC50 (target)numeric345 unique values
0 missing
molecule_id (row identifier)nominal927 unique values
0 missing
GATS5mnumeric518 unique values
0 missing
Eig05_AEA.dm.numeric584 unique values
0 missing
I.099numeric3 unique values
0 missing
nInumeric3 unique values
0 missing
NsInumeric3 unique values
0 missing
P_VSA_p_4numeric4 unique values
0 missing
P_VSA_v_4numeric3 unique values
0 missing
O.056numeric3 unique values
0 missing
MATS2enumeric432 unique values
0 missing
ATS6snumeric655 unique values
0 missing
P_VSA_m_5numeric6 unique values
0 missing
ATSC3mnumeric863 unique values
0 missing
C.026numeric9 unique values
0 missing
nRNHOnumeric3 unique values
0 missing
SpMax6_Bh.s.numeric562 unique values
0 missing
C.040numeric5 unique values
0 missing
ATSC8snumeric879 unique values
0 missing
nROHnumeric4 unique values
0 missing
Eig07_AEA.dm.numeric609 unique values
0 missing
P_VSA_MR_3numeric20 unique values
0 missing
Eig08_AEA.dm.numeric596 unique values
0 missing
Eig02_AEA.dm.numeric483 unique values
0 missing
IC1numeric587 unique values
0 missing
GATS4mnumeric485 unique values
0 missing
ATSC4mnumeric891 unique values
0 missing
ATSC8mnumeric873 unique values
0 missing
SpMAD_EA.ri.numeric211 unique values
0 missing
ATS7inumeric681 unique values
0 missing
P_VSA_m_3numeric173 unique values
0 missing
Eig04_EA.dm.numeric54 unique values
0 missing
CATS2D_02_DLnumeric10 unique values
0 missing
ATSC3enumeric553 unique values
0 missing
IC2numeric642 unique values
0 missing
P_VSA_i_1numeric24 unique values
0 missing
MCDnumeric183 unique values
0 missing
MATS2snumeric354 unique values
0 missing
SpMax2_Bh.m.numeric352 unique values
0 missing
ATS7snumeric655 unique values
0 missing
O.059numeric3 unique values
0 missing
P_VSA_s_5numeric71 unique values
0 missing
GATS2pnumeric417 unique values
0 missing
SpMax8_Bh.s.numeric599 unique values
0 missing
SpMax1_Bh.m.numeric280 unique values
0 missing
RBNnumeric15 unique values
0 missing
PHInumeric732 unique values
0 missing
nOHpnumeric3 unique values
0 missing
GATS1pnumeric482 unique values
0 missing
BIC3numeric184 unique values
0 missing
nOHsnumeric3 unique values
0 missing
SpDiam_AEA.ri.numeric406 unique values
0 missing
SsOHnumeric345 unique values
0 missing
Eig04_AEA.dm.numeric573 unique values
0 missing
SM11_AEA.ed.numeric603 unique values
0 missing
GATS5pnumeric456 unique values
0 missing
ATSC7snumeric886 unique values
0 missing
SM12_AEA.ed.numeric600 unique values
0 missing
N.066numeric3 unique values
0 missing
nRNH2numeric3 unique values
0 missing
GATS6pnumeric466 unique values
0 missing
CATS2D_04_DAnumeric8 unique values
0 missing
N.074numeric4 unique values
0 missing
GATS7mnumeric566 unique values
0 missing
SM14_AEA.ed.numeric617 unique values
0 missing
SpMax7_Bh.e.numeric479 unique values
0 missing
SM07_EA.ed.numeric604 unique values
0 missing
nArXnumeric5 unique values
0 missing
GATS6mnumeric517 unique values
0 missing
SM08_EA.ed.numeric614 unique values
0 missing
SsInumeric65 unique values
0 missing
ATS5snumeric649 unique values
0 missing
SAdonnumeric94 unique values
0 missing
GGI6numeric459 unique values
0 missing
SM13_AEA.ed.numeric610 unique values
0 missing
ATS4mnumeric623 unique values
0 missing
Eig06_AEA.dm.numeric628 unique values
0 missing
CATS2D_03_DLnumeric12 unique values
0 missing
SM15_AEA.ed.numeric618 unique values
0 missing
ZM2Vnumeric365 unique values
0 missing
ZM2MulPernumeric856 unique values
0 missing
SpDiam_EA.ed.numeric575 unique values
0 missing
ATSC4snumeric892 unique values
0 missing
SM09_EA.ed.numeric623 unique values
0 missing
Eig03_EA.dm.numeric66 unique values
0 missing
ZM1Vnumeric230 unique values
0 missing
TIEnumeric892 unique values
0 missing
P_VSA_MR_8numeric27 unique values
0 missing
ZM2Pernumeric855 unique values
0 missing
Eig09_AEA.dm.numeric603 unique values
0 missing
SpDiam_AEA.dm.numeric429 unique values
0 missing
Eta_Bnumeric330 unique values
0 missing
LLS_01numeric7 unique values
0 missing
SpMAD_EA.dm.numeric351 unique values
0 missing
RCInumeric49 unique values
0 missing
RFDnumeric46 unique values
0 missing
S2Knumeric743 unique values
0 missing
SpMax7_Bh.s.numeric587 unique values
0 missing
CATS2D_02_PLnumeric8 unique values
0 missing
S1Knumeric706 unique values
0 missing
ATSC1enumeric272 unique values
0 missing
SM10_EA.ed.numeric642 unique values
0 missing
SsNH2numeric252 unique values
0 missing
nOnumeric10 unique values
0 missing
SpMax7_Bh.i.numeric453 unique values
0 missing
Eig14_AEA.dm.numeric566 unique values
0 missing
ATS8mnumeric697 unique values
0 missing
Eig04_EAnumeric497 unique values
0 missing
SM12_AEA.bo.numeric497 unique values
0 missing
IDDEnumeric352 unique values
0 missing
ATS6mnumeric648 unique values
0 missing
SpMin3_Bh.s.numeric440 unique values
0 missing
GATS7pnumeric501 unique values
0 missing
ATSC3inumeric665 unique values
0 missing
ATSC7enumeric594 unique values
0 missing
ATS7mnumeric664 unique values
0 missing
ATS7pnumeric658 unique values
0 missing
SM11_EAnumeric601 unique values
0 missing
Eig07_AEA.ed.numeric576 unique values
0 missing
MWC09numeric556 unique values
0 missing
P_VSA_MR_5numeric615 unique values
0 missing
ATS5mnumeric619 unique values
0 missing
ATSC6snumeric894 unique values
0 missing
SM10_EAnumeric591 unique values
0 missing
SM04_EA.dm.numeric390 unique values
0 missing
SM11_EA.ed.numeric633 unique values
0 missing
Hynumeric453 unique values
0 missing
SM15_EA.ed.numeric631 unique values
0 missing
F.084numeric4 unique values
0 missing
SM03_AEA.ed.numeric470 unique values
0 missing
GATS2mnumeric398 unique values
0 missing
SsFnumeric246 unique values
0 missing
ATS7enumeric678 unique values
0 missing
CATS2D_04_DPnumeric4 unique values
0 missing
DELSnumeric889 unique values
0 missing
SM14_EAnumeric648 unique values
0 missing
ZM1Madnumeric816 unique values
0 missing
ATS7vnumeric656 unique values
0 missing
ATS6vnumeric661 unique values
0 missing
Psi_e_Anumeric527 unique values
0 missing

62 properties

927
Number of instances (rows) of the dataset.
140
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.
139
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.
0.15
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
2.04
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.
0.7
Mean skewness among attributes of the numeric type.
3.7
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
8.37
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.
0.63
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.12
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.58
Second quartile (Median) of standard deviation of attributes of the numeric type.
237.5
Maximum kurtosis among attributes of the numeric type.
0.05
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
664.92
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.
5.99
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.
99.29
Percentage of numeric attributes.
16.48
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.93
Minimum skewness among attributes of the numeric type.
0.71
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
11.67
Maximum skewness among attributes of the numeric type.
0.05
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.51
Third quartile of skewness among attributes of the numeric type.
163.16
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.46
First quartile of kurtosis among attributes of the numeric type.
1.82
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.
0.89
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
8.64
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.
25.16
Mean of means among attributes of the numeric type.
-0.34
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.
0.33
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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