Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332

deactivated ARFF Publicly available Visibility: public Uploaded 14-07-2016 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: CHEMBL3332 (TID: 17024), and it has 373 rows and 64 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.

66 features

pXC50 (target)numeric149 unique values
0 missing
molecule_id (row identifier)nominal373 unique values
0 missing
P_VSA_LogP_3numeric30 unique values
0 missing
SsOHnumeric207 unique values
0 missing
nROHnumeric3 unique values
0 missing
NsOHnumeric3 unique values
0 missing
O.056numeric3 unique values
0 missing
P_VSA_MR_3numeric8 unique values
0 missing
CATS2D_01_DDnumeric2 unique values
0 missing
nRNHOnumeric2 unique values
0 missing
SAdonnumeric20 unique values
0 missing
ATSC1snumeric327 unique values
0 missing
LOCnumeric169 unique values
0 missing
nN.CO.2numeric3 unique values
0 missing
GATS1snumeric130 unique values
0 missing
CATS2D_02_DDnumeric2 unique values
0 missing
ATSC7mnumeric346 unique values
0 missing
nCONNnumeric2 unique values
0 missing
ATS6snumeric291 unique values
0 missing
GGI5numeric179 unique values
0 missing
SpDiam_AEA.ed.numeric179 unique values
0 missing
Eig03_AEA.ed.numeric141 unique values
0 missing
ATS7enumeric286 unique values
0 missing
ATS7snumeric298 unique values
0 missing
ATS6mnumeric292 unique values
0 missing
SpDiam_EA.ed.numeric180 unique values
0 missing
MATS3snumeric178 unique values
0 missing
MATS1enumeric124 unique values
0 missing
ATS7inumeric292 unique values
0 missing
ATSC6pnumeric343 unique values
0 missing
ATSC8mnumeric345 unique values
0 missing
X3vnumeric332 unique values
0 missing
ATS6pnumeric280 unique values
0 missing
Eig01_AEA.ri.numeric177 unique values
0 missing
SpMax_AEA.ri.numeric177 unique values
0 missing
Eig14_AEA.dm.numeric131 unique values
0 missing
P_VSA_s_5numeric25 unique values
0 missing
ATS5vnumeric269 unique values
0 missing
ATSC6inumeric307 unique values
0 missing
ATSC7pnumeric344 unique values
0 missing
ATS6vnumeric283 unique values
0 missing
P_VSA_e_5numeric35 unique values
0 missing
P_VSA_m_3numeric43 unique values
0 missing
CATS2D_02_DAnumeric8 unique values
0 missing
Eig03_EAnumeric144 unique values
0 missing
SM11_AEA.bo.numeric144 unique values
0 missing
GATS3snumeric222 unique values
0 missing
C.006numeric8 unique values
0 missing
Eig13_AEA.dm.numeric152 unique values
0 missing
ATSC1enumeric119 unique values
0 missing
ATS5pnumeric275 unique values
0 missing
ATS6enumeric273 unique values
0 missing
Eig15_AEA.ri.numeric208 unique values
0 missing
SpDiam_AEA.ri.numeric223 unique values
0 missing
IC2numeric232 unique values
0 missing
ATSC3inumeric294 unique values
0 missing
DBInumeric34 unique values
0 missing
GATS2mnumeric199 unique values
0 missing
X4vnumeric328 unique values
0 missing
TIC1numeric300 unique values
0 missing
ATSC8snumeric347 unique values
0 missing
Eig03_EA.ed.numeric166 unique values
0 missing
SM12_AEA.dm.numeric166 unique values
0 missing
ATS1inumeric204 unique values
0 missing
P_VSA_s_6numeric71 unique values
0 missing
ATS4vnumeric254 unique values
0 missing
Show all 66 features

62 properties

NumberOfInstances
373
Number of instances (rows) of the dataset.
NumberOfFeatures
66
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
65
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
MeanStdDevOfNumericAtts
4.95
Mean standard deviation of attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
0.36
Second quartile (Median) of skewness among attributes of the numeric type.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinKurtosisOfNumericAtts
-1.33
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.43
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinMeansOfNumericAtts
-0.01
Minimum of means among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
MaxKurtosisOfNumericAtts
18.29
Maximum kurtosis among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
PercentageOfMissingValues
0
Percentage of missing values.
Quartile3KurtosisOfNumericAtts
1.69
Third quartile of kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
237.43
Maximum of means among attributes of the numeric type.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
98.48
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
8.92
Third quartile of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinSkewnessOfNumericAtts
-1.75
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
1.52
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MinStdDevOfNumericAtts
0.04
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
0.66
Third quartile of skewness among attributes of the numeric type.
MaxSkewnessOfNumericAtts
3.51
Maximum skewness among attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
-0.26
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
1.84
Third quartile of standard deviation of attributes of the numeric type.
MaxStdDevOfNumericAtts
61.31
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
Quartile1MeansOfNumericAtts
1.19
First quartile of means among attributes of the numeric type.
StdvNominalAttDistinctValues
Standard deviation of the number of distinct values among attributes of the nominal type.
MeanKurtosisOfNumericAtts
1.67
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
MeanMeansOfNumericAtts
19.09
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
-0.19
First quartile of skewness among attributes of the numeric type.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.22
First quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.16
Average class difference between consecutive instances.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
ClassEntropy
Entropy of the target attribute values.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
0.65
Second quartile (Median) of kurtosis among attributes of the numeric type.
Dimensionality
0.18
Number of attributes divided by the number of instances.
MeanSkewnessOfNumericAtts
0.31
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
4.32
Second quartile (Median) of means among attributes of the numeric type.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3332
0 runs - estimation_procedure: 50 times Clustering
Define a new task