Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5497

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5497

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: CHEMBL5497 (TID: 100871), and it has 84 rows and 123 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.

125 features

pXC50 (target)numeric79 unique values
0 missing
molecule_id (row identifier)nominal84 unique values
0 missing
ICRnumeric27 unique values
0 missing
PJI2numeric5 unique values
0 missing
DECCnumeric56 unique values
0 missing
AECCnumeric58 unique values
0 missing
HVcpxnumeric36 unique values
0 missing
Eig10_AEA.dm.numeric15 unique values
0 missing
IDEnumeric33 unique values
0 missing
Eig13_AEA.dm.numeric19 unique values
0 missing
MSDnumeric58 unique values
0 missing
ATSC2enumeric61 unique values
0 missing
SaaCHnumeric66 unique values
0 missing
C.024numeric6 unique values
0 missing
nCbHnumeric6 unique values
0 missing
CATS2D_04_NLnumeric2 unique values
0 missing
CATS2D_06_DNnumeric2 unique values
0 missing
CATS2D_06_PNnumeric2 unique values
0 missing
CATS2D_09_NLnumeric2 unique values
0 missing
GATS6snumeric46 unique values
0 missing
Eig09_AEA.dm.numeric16 unique values
0 missing
SssCH2numeric69 unique values
0 missing
ATSC5snumeric72 unique values
0 missing
GATS6enumeric43 unique values
0 missing
VARnumeric45 unique values
0 missing
SpMax2_Bh.v.numeric23 unique values
0 missing
MDDDnumeric61 unique values
0 missing
MATS4pnumeric23 unique values
0 missing
SpMax4_Bh.e.numeric19 unique values
0 missing
ATSC2snumeric68 unique values
0 missing
MATS4vnumeric24 unique values
0 missing
CATS2D_05_AAnumeric4 unique values
0 missing
CATS2D_08_AAnumeric4 unique values
0 missing
SpMin5_Bh.v.numeric17 unique values
0 missing
CATS2D_03_DAnumeric4 unique values
0 missing
CATS2D_06_NLnumeric2 unique values
0 missing
CATS2D_07_NLnumeric2 unique values
0 missing
CATS2D_09_DNnumeric2 unique values
0 missing
CATS2D_09_PNnumeric2 unique values
0 missing
Eig05_AEA.dm.numeric16 unique values
0 missing
Eig06_AEA.ri.numeric16 unique values
0 missing
Eig06_EAnumeric16 unique values
0 missing
Eig11_AEA.dm.numeric11 unique values
0 missing
Eig14_AEA.dm.numeric21 unique values
0 missing
SM14_AEA.bo.numeric16 unique values
0 missing
ATSC3snumeric69 unique values
0 missing
SpMin3_Bh.v.numeric14 unique values
0 missing
BLTA96numeric46 unique values
0 missing
BLTD48numeric47 unique values
0 missing
BLTF96numeric46 unique values
0 missing
MLOGPnumeric52 unique values
0 missing
MLOGP2numeric52 unique values
0 missing
N.numeric15 unique values
0 missing
GATS5enumeric45 unique values
0 missing
Eig13_AEA.bo.numeric15 unique values
0 missing
NaaCHnumeric7 unique values
0 missing
MATS4mnumeric34 unique values
0 missing
GATS7mnumeric32 unique values
0 missing
CATS2D_02_NLnumeric2 unique values
0 missing
CATS2D_03_NLnumeric2 unique values
0 missing
SpMin4_Bh.p.numeric10 unique values
0 missing
GATS7enumeric42 unique values
0 missing
SdOnumeric71 unique values
0 missing
SpMin5_Bh.m.numeric10 unique values
0 missing
Hynumeric50 unique values
0 missing
ATSC3enumeric63 unique values
0 missing
Eig12_EA.ri.numeric21 unique values
0 missing
Psi_e_Anumeric53 unique values
0 missing
Psi_i_Anumeric53 unique values
0 missing
GATS5snumeric44 unique values
0 missing
SpMax8_Bh.m.numeric15 unique values
0 missing
SpMin5_Bh.i.numeric19 unique values
0 missing
nDBnumeric5 unique values
0 missing
NdssCnumeric4 unique values
0 missing
SM03_EA.dm.numeric14 unique values
0 missing
SM05_EA.dm.numeric16 unique values
0 missing
SM07_EA.dm.numeric15 unique values
0 missing
nHAccnumeric8 unique values
0 missing
P_VSA_LogP_2numeric33 unique values
0 missing
nNnumeric8 unique values
0 missing
P_VSA_LogP_4numeric10 unique values
0 missing
ZM1MulPernumeric65 unique values
0 missing
ZM1Vnumeric46 unique values
0 missing
SpMax5_Bh.v.numeric21 unique values
0 missing
GATS4vnumeric30 unique values
0 missing
ATSC5enumeric68 unique values
0 missing
ATSC1snumeric67 unique values
0 missing
MATS8mnumeric27 unique values
0 missing
TPSA.Tot.numeric29 unique values
0 missing
SPInumeric61 unique values
0 missing
SpMin5_Bh.e.numeric16 unique values
0 missing
C.006numeric6 unique values
0 missing
Psi_i_snumeric63 unique values
0 missing
UNIPnumeric56 unique values
0 missing
SM09_EA.dm.numeric13 unique values
0 missing
SM11_EA.dm.numeric13 unique values
0 missing
SM13_EA.dm.numeric12 unique values
0 missing
SM15_EA.dm.numeric12 unique values
0 missing
SpMax1_Bh.s.numeric9 unique values
0 missing
SpMin3_Bh.e.numeric16 unique values
0 missing
SpMin3_Bh.m.numeric10 unique values
0 missing
SpMin6_Bh.v.numeric10 unique values
0 missing
SpMax4_Bh.v.numeric23 unique values
0 missing
TPSA.NO.numeric25 unique values
0 missing
Eig09_EA.ri.numeric16 unique values
0 missing
SpMin3_Bh.p.numeric15 unique values
0 missing
Eig04_EA.ri.numeric18 unique values
0 missing
nOHpnumeric3 unique values
0 missing
GGI1numeric12 unique values
0 missing
CENTnumeric61 unique values
0 missing
P_VSA_MR_2numeric21 unique values
0 missing
SpMax4_Bh.i.numeric19 unique values
0 missing
ZM1Kupnumeric64 unique values
0 missing
MAXDPnumeric42 unique values
0 missing
DBInumeric31 unique values
0 missing
SpMin7_Bh.i.numeric14 unique values
0 missing
Chi1_EA.dm.numeric51 unique values
0 missing
ZM1Pernumeric65 unique values
0 missing
ALOGPnumeric65 unique values
0 missing
ALOGP2numeric65 unique values
0 missing
SpMin4_Bh.v.numeric9 unique values
0 missing
Eig11_EA.bo.numeric16 unique values
0 missing
Eig14_EA.bo.numeric22 unique values
0 missing
ON0numeric34 unique values
0 missing
CATS2D_05_DLnumeric11 unique values
0 missing

62 properties

84
Number of instances (rows) of the dataset.
125
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.
124
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.
1.49
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
22.59
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.
-2.85
Mean skewness among attributes of the numeric type.
3.87
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
266.85
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.
-4.72
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.8
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.44
Second quartile (Median) of standard deviation of attributes of the numeric type.
46.47
Maximum kurtosis among attributes of the numeric type.
-11.6
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
146028.69
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.
24.22
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.
99.2
Percentage of numeric attributes.
25.89
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-6.57
Minimum skewness among attributes of the numeric type.
0.8
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
5.52
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
-1.21
Third quartile of skewness among attributes of the numeric type.
28905.14
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
9.11
First quartile of kurtosis among attributes of the numeric type.
4.11
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.
1.79
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
17.71
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.
1375.91
Mean of means among attributes of the numeric type.
-5
First quartile of skewness among attributes of the numeric type.
0.16
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.1
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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