Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2480

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2480

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: CHEMBL2480 (TID: 10297), and it has 84 rows and 122 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.

124 features

pXC50 (target)numeric67 unique values
0 missing
molecule_id (row identifier)nominal84 unique values
0 missing
MATS5inumeric76 unique values
0 missing
PDInumeric56 unique values
0 missing
LOCnumeric41 unique values
0 missing
MATS4mnumeric74 unique values
0 missing
Eig01_EA.dm.numeric18 unique values
0 missing
nArOCONnumeric2 unique values
0 missing
SM03_EA.dm.numeric12 unique values
0 missing
SM04_EA.dm.numeric27 unique values
0 missing
SM05_EA.dm.numeric13 unique values
0 missing
SM06_EA.dm.numeric28 unique values
0 missing
SM07_EA.dm.numeric15 unique values
0 missing
SM08_EA.dm.numeric28 unique values
0 missing
SM09_EA.dm.numeric14 unique values
0 missing
SM10_EA.dm.numeric25 unique values
0 missing
SM11_EA.dm.numeric14 unique values
0 missing
SM12_EA.dm.numeric25 unique values
0 missing
SM13_EA.dm.numeric14 unique values
0 missing
SM14_EA.dm.numeric24 unique values
0 missing
SM15_EA.dm.numeric14 unique values
0 missing
SpDiam_EA.dm.numeric18 unique values
0 missing
SpMax_EA.dm.numeric18 unique values
0 missing
ATSC7snumeric83 unique values
0 missing
DBInumeric29 unique values
0 missing
P_VSA_MR_2numeric23 unique values
0 missing
PW5numeric31 unique values
0 missing
SssssCnumeric21 unique values
0 missing
SdssCnumeric54 unique values
0 missing
CATS2D_04_AAnumeric5 unique values
0 missing
SM02_EA.dm.numeric24 unique values
0 missing
SpMaxA_EA.dm.numeric36 unique values
0 missing
X2Anumeric33 unique values
0 missing
JGI1numeric44 unique values
0 missing
CATS2D_05_ALnumeric12 unique values
0 missing
SpAD_EA.dm.numeric28 unique values
0 missing
PW3numeric41 unique values
0 missing
GATS5inumeric78 unique values
0 missing
GATS5enumeric79 unique values
0 missing
GATS5snumeric78 unique values
0 missing
Eig02_AEA.dm.numeric66 unique values
0 missing
Eig03_AEA.dm.numeric58 unique values
0 missing
IVDEnumeric45 unique values
0 missing
JGI5numeric21 unique values
0 missing
ATSC7enumeric81 unique values
0 missing
ATSC5snumeric84 unique values
0 missing
MATS5snumeric72 unique values
0 missing
MCDnumeric33 unique values
0 missing
PCRnumeric52 unique values
0 missing
SpMAD_EA.dm.numeric45 unique values
0 missing
MATS4enumeric71 unique values
0 missing
SssOnumeric23 unique values
0 missing
C.numeric48 unique values
0 missing
GNarnumeric42 unique values
0 missing
C.041numeric2 unique values
0 missing
NssOnumeric4 unique values
0 missing
O.060numeric4 unique values
0 missing
JGI3numeric36 unique values
0 missing
JGI7numeric15 unique values
0 missing
SpMin2_Bh.e.numeric37 unique values
0 missing
SpMin2_Bh.p.numeric40 unique values
0 missing
CATS2D_09_LLnumeric12 unique values
0 missing
GATS1vnumeric67 unique values
0 missing
CIC5numeric60 unique values
0 missing
piPC08numeric64 unique values
0 missing
piPC09numeric64 unique values
0 missing
piPC10numeric62 unique values
0 missing
P_VSA_e_3numeric31 unique values
0 missing
Eig04_AEA.dm.numeric74 unique values
0 missing
GATS2snumeric61 unique values
0 missing
SpMAD_EA.bo.numeric57 unique values
0 missing
ARRnumeric34 unique values
0 missing
C.011numeric2 unique values
0 missing
H.052numeric7 unique values
0 missing
NssssCnumeric3 unique values
0 missing
CIC4numeric62 unique values
0 missing
SIC4numeric53 unique values
0 missing
Eig05_AEA.dm.numeric70 unique values
0 missing
Eta_beta_Anumeric54 unique values
0 missing
Eta_FL_Anumeric55 unique values
0 missing
X0Anumeric33 unique values
0 missing
S3Knumeric68 unique values
0 missing
SpMin2_Bh.v.numeric43 unique values
0 missing
C.029numeric3 unique values
0 missing
MATS1vnumeric48 unique values
0 missing
GATS5pnumeric74 unique values
0 missing
BACnumeric30 unique values
0 missing
CATS2D_09_ALnumeric9 unique values
0 missing
Eig03_EA.bo.numeric53 unique values
0 missing
PCDnumeric62 unique values
0 missing
piPC06numeric60 unique values
0 missing
SM13_AEA.ri.numeric53 unique values
0 missing
D.Dtr05numeric44 unique values
0 missing
HNarnumeric43 unique values
0 missing
nCarnumeric12 unique values
0 missing
nCICnumeric6 unique values
0 missing
nCIRnumeric7 unique values
0 missing
nR06numeric6 unique values
0 missing
piIDnumeric63 unique values
0 missing
Rperimnumeric12 unique values
0 missing
SIC5numeric53 unique values
0 missing
SpMin2_Bh.i.numeric40 unique values
0 missing
TRSnumeric10 unique values
0 missing
Eta_B_Anumeric26 unique values
0 missing
GATS4enumeric76 unique values
0 missing
nCb.numeric8 unique values
0 missing
DLS_consnumeric14 unique values
0 missing
nPyrimidinesnumeric2 unique values
0 missing
CATS2D_06_DLnumeric8 unique values
0 missing
P_VSA_MR_6numeric65 unique values
0 missing
MATS4vnumeric71 unique values
0 missing
GATS7mnumeric81 unique values
0 missing
SpMAD_AEA.dm.numeric60 unique values
0 missing
SpMin3_Bh.e.numeric46 unique values
0 missing
SpMin3_Bh.i.numeric45 unique values
0 missing
SpMin3_Bh.p.numeric57 unique values
0 missing
nOnumeric6 unique values
0 missing
SaaNnumeric80 unique values
0 missing
ATSC2enumeric64 unique values
0 missing
JGTnumeric61 unique values
0 missing
ATSC4mnumeric83 unique values
0 missing
BIC5numeric52 unique values
0 missing
nCtnumeric4 unique values
0 missing
piPC03numeric49 unique values
0 missing

62 properties

84
Number of instances (rows) of the dataset.
124
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.
123
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.
1.48
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.21
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.
0.27
Mean skewness among attributes of the numeric type.
1.66
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
3.06
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.
0.47
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.79
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.45
Second quartile (Median) of standard deviation of attributes of the numeric type.
57.79
Maximum kurtosis among attributes of the numeric type.
-0.51
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
92.17
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.
0.86
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.
99.19
Percentage of numeric attributes.
3.46
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-7.04
Minimum skewness among attributes of the numeric type.
0.81
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
2.99
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.9
Third quartile of skewness among attributes of the numeric type.
59.88
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.67
First quartile of kurtosis among attributes of the numeric type.
1.72
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.
0.54
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
1.09
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.
6.4
Mean of means among attributes of the numeric type.
-0.37
First quartile of skewness among attributes of the numeric type.
-0.39
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.11
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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