Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092

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: CHEMBL5092 (TID: 101066), and it has 16 rows and 256 features (not including molecule IDs and class feature: molecule_id and pXC50). The features represent FCFP 1024-bit Molecular Fingerprints which were generated from SMILES strings. Feature selection was applied to this dataset. The fingerprints were obtained using the Pipeline Pilot program, Dassault Systèmes BIOVIA. Generating Fingerprints do not usually require missing value imputation as all bits are generated.

258 features

pXC50 (target)numeric16 unique values
0 missing
molecule_id (row identifier)nominal16 unique values
0 missing
FCFP4_1024b306numeric1 unique values
0 missing
FCFP4_1024b1numeric1 unique values
0 missing
FCFP4_1024b10numeric2 unique values
0 missing
FCFP4_1024b100numeric1 unique values
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FCFP4_1024b1000numeric1 unique values
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FCFP4_1024b1001numeric1 unique values
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FCFP4_1024b1002numeric1 unique values
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FCFP4_1024b1003numeric1 unique values
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FCFP4_1024b1004numeric1 unique values
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FCFP4_1024b1005numeric1 unique values
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FCFP4_1024b1006numeric1 unique values
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FCFP4_1024b1007numeric1 unique values
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FCFP4_1024b1008numeric1 unique values
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FCFP4_1024b1009numeric2 unique values
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FCFP4_1024b101numeric1 unique values
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FCFP4_1024b1010numeric1 unique values
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FCFP4_1024b1011numeric1 unique values
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FCFP4_1024b1012numeric1 unique values
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FCFP4_1024b1013numeric1 unique values
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FCFP4_1024b1014numeric1 unique values
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FCFP4_1024b1015numeric1 unique values
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FCFP4_1024b1016numeric1 unique values
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FCFP4_1024b1017numeric1 unique values
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FCFP4_1024b1018numeric1 unique values
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FCFP4_1024b1019numeric1 unique values
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FCFP4_1024b102numeric1 unique values
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FCFP4_1024b1020numeric1 unique values
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FCFP4_1024b1021numeric1 unique values
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FCFP4_1024b1022numeric1 unique values
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FCFP4_1024b1023numeric1 unique values
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FCFP4_1024b1024numeric1 unique values
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FCFP4_1024b103numeric1 unique values
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FCFP4_1024b105numeric2 unique values
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FCFP4_1024b106numeric2 unique values
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FCFP4_1024b107numeric1 unique values
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FCFP4_1024b109numeric1 unique values
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FCFP4_1024b11numeric1 unique values
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FCFP4_1024b122numeric2 unique values
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FCFP4_1024b15numeric1 unique values
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FCFP4_1024b23numeric1 unique values
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FCFP4_1024b271numeric1 unique values
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FCFP4_1024b274numeric1 unique values
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FCFP4_1024b280numeric1 unique values
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FCFP4_1024b284numeric1 unique values
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FCFP4_1024b287numeric1 unique values
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FCFP4_1024b288numeric1 unique values
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FCFP4_1024b29numeric1 unique values
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FCFP4_1024b299numeric2 unique values
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Show first 100 features

62 properties

NumberOfInstances
16
Number of instances (rows) of the dataset.
NumberOfFeatures
258
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
257
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
ClassEntropy
Entropy of the target attribute values.
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.
Dimensionality
16.13
Number of attributes divided by the number of instances.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
14.44
Second quartile (Median) of kurtosis 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.
MeanSkewnessOfNumericAtts
1.44
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0
Second quartile (Median) of means among attributes of the numeric type.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
0.02
Mean standard deviation of attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinAttributeEntropy
Minimal entropy among attributes.
Quartile2SkewnessOfNumericAtts
2.51
Second quartile (Median) of skewness among attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-2.22
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxKurtosisOfNumericAtts
16
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
0
Minimum of means among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
MaxMeansOfNumericAtts
4.35
Maximum of means 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
16
Third quartile of kurtosis among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
PercentageOfNumericFeatures
99.61
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
0
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-4
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
0.39
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxSkewnessOfNumericAtts
4
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
4
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
0.51
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
4.9
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0
Third quartile of 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
0
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
9.78
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
0.05
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
-1.81
First quartile of skewness among attributes of the numeric type.
AutoCorrelation
0.85
Average class difference between consecutive instances.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0
First quartile of standard deviation of attributes of the numeric type.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5092
0 runs - estimation_procedure: 50 times Clustering
Define a new task