Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4657

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4657

deactivated ARFF Publicly available Visibility: public Uploaded 16-07-2016 by Noureddin Sadawi
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target ChEMBL_ID: CHEMBL4657 (TID: 20151), and it has 1427 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)numeric467 unique values
0 missing
molecule_id (row identifier)nominal1427 unique values
0 missing
CATS2D_03_PLnumeric6 unique values
0 missing
GATS4vnumeric394 unique values
0 missing
CATS2D_03_DLnumeric9 unique values
0 missing
SM15_EA.dm.numeric190 unique values
0 missing
SM11_EA.dm.numeric206 unique values
0 missing
F.084numeric7 unique values
0 missing
SM05_EA.dm.numeric200 unique values
0 missing
SM07_EA.dm.numeric226 unique values
0 missing
SsFnumeric726 unique values
0 missing
SpDiam_EA.dm.numeric125 unique values
0 missing
SM13_EA.dm.numeric202 unique values
0 missing
GATS5inumeric492 unique values
0 missing
N.067numeric3 unique values
0 missing
Eig01_AEA.ed.numeric456 unique values
0 missing
SpMax_AEA.ed.numeric456 unique values
0 missing
Eig01_EA.dm.numeric103 unique values
0 missing
SpMax_EA.dm.numeric103 unique values
0 missing
nRNHRnumeric3 unique values
0 missing
SM08_EA.dm.numeric322 unique values
0 missing
nFnumeric11 unique values
0 missing
NsFnumeric11 unique values
0 missing
SaasNnumeric185 unique values
0 missing
SM06_EA.dm.numeric369 unique values
0 missing
SM12_EA.dm.numeric266 unique values
0 missing
NaasNnumeric3 unique values
0 missing
nArXnumeric7 unique values
0 missing
CATS2D_06_PLnumeric7 unique values
0 missing
Eig01_AEA.dm.numeric368 unique values
0 missing
SpMax_AEA.dm.numeric368 unique values
0 missing
MLOGP2numeric937 unique values
0 missing
SpDiam_AEA.dm.numeric419 unique values
0 missing
SM10_EA.dm.numeric285 unique values
0 missing
ATSC6snumeric1340 unique values
0 missing
SsssCHnumeric954 unique values
0 missing
CATS2D_06_DDnumeric5 unique values
0 missing
C.026numeric7 unique values
0 missing
Menumeric94 unique values
0 missing
Eig03_EA.dm.numeric127 unique values
0 missing
Eig01_EA.ed.numeric627 unique values
0 missing
SM10_AEA.dm.numeric627 unique values
0 missing
SpMax_EA.ed.numeric627 unique values
0 missing
nXnumeric11 unique values
0 missing
Eig01_EA.ri.numeric449 unique values
0 missing
SpMax_EA.ri.numeric449 unique values
0 missing
CATS2D_00_DDnumeric4 unique values
0 missing
CATS2D_00_DPnumeric4 unique values
0 missing
CATS2D_00_PPnumeric4 unique values
0 missing
NsNH2numeric4 unique values
0 missing
JGI9numeric23 unique values
0 missing
BLInumeric335 unique values
0 missing
CATS2D_02_PLnumeric6 unique values
0 missing
GATS5enumeric755 unique values
0 missing
ATSC4enumeric838 unique values
0 missing
N.066numeric4 unique values
0 missing
nRNH2numeric4 unique values
0 missing
CATS2D_04_PLnumeric6 unique values
0 missing
X2Avnumeric111 unique values
0 missing
nRCNnumeric3 unique values
0 missing
X1Avnumeric142 unique values
0 missing
C.011numeric3 unique values
0 missing
SpMax1_Bh.s.numeric95 unique values
0 missing
Eig02_EA.dm.numeric116 unique values
0 missing
CATS2D_03_AAnumeric8 unique values
0 missing
SpMin2_Bh.e.numeric321 unique values
0 missing
ATSC7enumeric834 unique values
0 missing
Minumeric87 unique values
0 missing
SssNHnumeric429 unique values
0 missing
SM04_EA.dm.numeric402 unique values
0 missing
CATS2D_05_PLnumeric7 unique values
0 missing
DELSnumeric1323 unique values
0 missing
CATS2D_02_DLnumeric9 unique values
0 missing
MATS4snumeric342 unique values
0 missing
SM09_EA.dm.numeric215 unique values
0 missing
P_VSA_LogP_6numeric108 unique values
0 missing
C.043numeric3 unique values
0 missing
ZM1Kupnumeric1097 unique values
0 missing
GATS5snumeric783 unique values
0 missing
ATSC3enumeric800 unique values
0 missing
SpMin6_Bh.i.numeric482 unique values
0 missing
CATS2D_06_DLnumeric12 unique values
0 missing
Psi_e_Anumeric664 unique values
0 missing
Psi_i_Anumeric664 unique values
0 missing
CATS2D_06_DPnumeric5 unique values
0 missing
SM14_EA.dm.numeric245 unique values
0 missing
GGI6numeric580 unique values
0 missing
MATS6inumeric409 unique values
0 missing
P_VSA_e_6numeric11 unique values
0 missing
SRW09numeric102 unique values
0 missing
SssCH2numeric1203 unique values
0 missing
C.006numeric8 unique values
0 missing
Eig02_EA.bo.numeric546 unique values
0 missing
SM12_AEA.ri.numeric546 unique values
0 missing
C.003numeric6 unique values
0 missing
P_VSA_p_2numeric354 unique values
0 missing
nCrsnumeric11 unique values
0 missing
P_VSA_LogP_2numeric353 unique values
0 missing
SpMax2_Bh.s.numeric148 unique values
0 missing
ATSC5enumeric913 unique values
0 missing
B.112numeric2 unique values
0 missing
nBnumeric2 unique values
0 missing
NsssBnumeric2 unique values
0 missing
SsssBnumeric33 unique values
0 missing
Eig01_AEA.ri.numeric470 unique values
0 missing
SpMax_AEA.ri.numeric470 unique values
0 missing
Vindexnumeric239 unique values
0 missing
X.numeric112 unique values
0 missing
nCsp2numeric25 unique values
0 missing
GATS6pnumeric481 unique values
0 missing
JGI8numeric21 unique values
0 missing
CATS2D_03_DAnumeric7 unique values
0 missing
nROHnumeric5 unique values
0 missing
NsOHnumeric5 unique values
0 missing
O.056numeric5 unique values
0 missing
SpMin5_Bh.i.numeric504 unique values
0 missing
Eig05_EA.dm.numeric93 unique values
0 missing
X0Avnumeric157 unique values
0 missing
GATS6inumeric502 unique values
0 missing
SsOHnumeric121 unique values
0 missing
SpMax7_Bh.m.numeric497 unique values
0 missing
nCb.numeric11 unique values
0 missing
SpDiam_EA.ed.numeric745 unique values
0 missing
CATS2D_04_DDnumeric4 unique values
0 missing
CATS2D_06_DAnumeric8 unique values
0 missing
H.046numeric21 unique values
0 missing
CATS2D_02_DDnumeric4 unique values
0 missing
NssNHnumeric5 unique values
0 missing
GATS7pnumeric519 unique values
0 missing
piPC06numeric810 unique values
0 missing
nBMnumeric27 unique values
0 missing
Ucnumeric27 unique values
0 missing
SpAD_EA.dm.numeric425 unique values
0 missing
C.018numeric2 unique values
0 missing
piPC05numeric757 unique values
0 missing
MATS4pnumeric347 unique values
0 missing
SaasCnumeric1119 unique values
0 missing
SpMax2_Bh.e.numeric254 unique values
0 missing
nR.Csnumeric5 unique values
0 missing
SpMax3_Bh.s.numeric232 unique values
0 missing
SpMax1_Bh.v.numeric304 unique values
0 missing

62 properties

1427
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.
1.3
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.1
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
1.37
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.
0.84
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.
3.94
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.
0.61
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.
-0.89
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
53.2
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
3.09
Third quartile of kurtosis among attributes of the numeric type.
512.76
Maximum of means among attributes of the numeric type.
The minimal number of distinct values among attributes of the nominal type.
99.29
Percentage of numeric attributes.
4.97
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-5.39
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.
The maximum number of distinct values among attributes of the nominal type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.38
Third quartile of skewness among attributes of the numeric type.
6.45
Maximum skewness among attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.41
First quartile of kurtosis among attributes of the numeric type.
1.76
Third quartile of standard deviation of attributes of the numeric type.
180.77
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
0.68
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.
4.75
Mean kurtosis among attributes of the numeric type.
-0.22
First quartile of skewness among attributes of the numeric type.
9.08
Mean of means among attributes of the numeric type.
0.29
First quartile of standard deviation of attributes of the numeric type.
0.31
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
Define a new task