Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865

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: CHEMBL2093865 (TID: 104681), and it has 463 rows and 102 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.

104 features

pXC50 (target)numeric257 unique values
0 missing
molecule_id (row identifier)nominal463 unique values
0 missing
FCFP4_1024b983numeric2 unique values
0 missing
FCFP4_1024b20numeric2 unique values
0 missing
FCFP4_1024b78numeric2 unique values
0 missing
FCFP4_1024b943numeric2 unique values
0 missing
FCFP4_1024b942numeric2 unique values
0 missing
FCFP4_1024b714numeric2 unique values
0 missing
FCFP4_1024b799numeric2 unique values
0 missing
FCFP4_1024b455numeric2 unique values
0 missing
FCFP4_1024b612numeric2 unique values
0 missing
FCFP4_1024b754numeric2 unique values
0 missing
FCFP4_1024b632numeric2 unique values
0 missing
FCFP4_1024b32numeric2 unique values
0 missing
FCFP4_1024b728numeric2 unique values
0 missing
FCFP4_1024b300numeric2 unique values
0 missing
FCFP4_1024b123numeric2 unique values
0 missing
FCFP4_1024b817numeric2 unique values
0 missing
FCFP4_1024b686numeric2 unique values
0 missing
FCFP4_1024b199numeric2 unique values
0 missing
FCFP4_1024b114numeric2 unique values
0 missing
FCFP4_1024b380numeric2 unique values
0 missing
FCFP4_1024b541numeric2 unique values
0 missing
FCFP4_1024b652numeric2 unique values
0 missing
FCFP4_1024b1007numeric2 unique values
0 missing
FCFP4_1024b453numeric2 unique values
0 missing
FCFP4_1024b151numeric2 unique values
0 missing
FCFP4_1024b614numeric2 unique values
0 missing
FCFP4_1024b790numeric2 unique values
0 missing
FCFP4_1024b265numeric2 unique values
0 missing
FCFP4_1024b72numeric2 unique values
0 missing
FCFP4_1024b374numeric2 unique values
0 missing
FCFP4_1024b891numeric2 unique values
0 missing
FCFP4_1024b275numeric2 unique values
0 missing
FCFP4_1024b855numeric2 unique values
0 missing
FCFP4_1024b603numeric2 unique values
0 missing
FCFP4_1024b162numeric2 unique values
0 missing
FCFP4_1024b185numeric2 unique values
0 missing
FCFP4_1024b847numeric2 unique values
0 missing
FCFP4_1024b107numeric2 unique values
0 missing
FCFP4_1024b752numeric2 unique values
0 missing
FCFP4_1024b653numeric2 unique values
0 missing
FCFP4_1024b644numeric2 unique values
0 missing
FCFP4_1024b961numeric2 unique values
0 missing
FCFP4_1024b868numeric2 unique values
0 missing
FCFP4_1024b281numeric2 unique values
0 missing
FCFP4_1024b524numeric2 unique values
0 missing
FCFP4_1024b920numeric2 unique values
0 missing
FCFP4_1024b396numeric2 unique values
0 missing
FCFP4_1024b10numeric2 unique values
0 missing
FCFP4_1024b108numeric2 unique values
0 missing
FCFP4_1024b124numeric2 unique values
0 missing
FCFP4_1024b283numeric2 unique values
0 missing
FCFP4_1024b528numeric2 unique values
0 missing
FCFP4_1024b356numeric2 unique values
0 missing
FCFP4_1024b902numeric2 unique values
0 missing
FCFP4_1024b715numeric2 unique values
0 missing
FCFP4_1024b475numeric2 unique values
0 missing
FCFP4_1024b630numeric2 unique values
0 missing
FCFP4_1024b52numeric2 unique values
0 missing
FCFP4_1024b325numeric2 unique values
0 missing
FCFP4_1024b67numeric2 unique values
0 missing
FCFP4_1024b31numeric2 unique values
0 missing
FCFP4_1024b1numeric1 unique values
0 missing
FCFP4_1024b100numeric2 unique values
0 missing
FCFP4_1024b1000numeric1 unique values
0 missing
FCFP4_1024b1001numeric1 unique values
0 missing
FCFP4_1024b1002numeric2 unique values
0 missing
FCFP4_1024b1003numeric2 unique values
0 missing
FCFP4_1024b1004numeric2 unique values
0 missing
FCFP4_1024b1005numeric2 unique values
0 missing
FCFP4_1024b1006numeric2 unique values
0 missing
FCFP4_1024b1008numeric2 unique values
0 missing
FCFP4_1024b1009numeric2 unique values
0 missing
FCFP4_1024b101numeric1 unique values
0 missing
FCFP4_1024b1010numeric1 unique values
0 missing
FCFP4_1024b1011numeric1 unique values
0 missing
FCFP4_1024b1012numeric2 unique values
0 missing
FCFP4_1024b1013numeric2 unique values
0 missing
FCFP4_1024b1014numeric2 unique values
0 missing
FCFP4_1024b1015numeric1 unique values
0 missing
FCFP4_1024b1016numeric1 unique values
0 missing
FCFP4_1024b1017numeric1 unique values
0 missing
FCFP4_1024b1018numeric2 unique values
0 missing
FCFP4_1024b1019numeric2 unique values
0 missing
FCFP4_1024b102numeric2 unique values
0 missing
FCFP4_1024b1020numeric2 unique values
0 missing
FCFP4_1024b1021numeric1 unique values
0 missing
FCFP4_1024b1022numeric2 unique values
0 missing
FCFP4_1024b1023numeric1 unique values
0 missing
FCFP4_1024b1024numeric2 unique values
0 missing
FCFP4_1024b103numeric2 unique values
0 missing
FCFP4_1024b104numeric2 unique values
0 missing
FCFP4_1024b105numeric2 unique values
0 missing
FCFP4_1024b106numeric2 unique values
0 missing
FCFP4_1024b109numeric2 unique values
0 missing
FCFP4_1024b11numeric2 unique values
0 missing
FCFP4_1024b110numeric2 unique values
0 missing
FCFP4_1024b111numeric1 unique values
0 missing
FCFP4_1024b112numeric1 unique values
0 missing
FCFP4_1024b113numeric2 unique values
0 missing
FCFP4_1024b115numeric1 unique values
0 missing
FCFP4_1024b116numeric2 unique values
0 missing
FCFP4_1024b117numeric1 unique values
0 missing
Show first 100 features

62 properties

NumberOfInstances
463
Number of instances (rows) of the dataset.
NumberOfFeatures
104
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
103
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
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
76.15
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
0.16
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
1.99
First quartile of skewness among attributes of the numeric type.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.05
First quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
-0.19
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
6.47
Second quartile (Median) of kurtosis among attributes of the numeric type.
Dimensionality
0.22
Number of attributes divided by the number of instances.
MeanSkewnessOfNumericAtts
5.83
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0.07
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.
MeanStdDevOfNumericAtts
0.23
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
2.91
Second quartile (Median) of skewness among attributes of the numeric type.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinKurtosisOfNumericAtts
-2.01
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.26
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
463
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
6.04
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
33.99
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
99.04
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
0.14
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-0.11
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
0.96
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxSkewnessOfNumericAtts
21.52
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
5.99
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
1.39
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
1.97
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.34
Third quartile of standard deviation of attributes of the numeric type.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
1 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2093865
0 runs - estimation_procedure: 50 times Clustering
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