Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946

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: CHEMBL1946 (TID: 11085), and it has 712 rows and 205 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.

207 features

pXC50 (target)numeric518 unique values
0 missing
molecule_id (row identifier)nominal712 unique values
0 missing
FCFP4_1024b1024numeric2 unique values
0 missing
FCFP4_1024b511numeric2 unique values
0 missing
FCFP4_1024b860numeric2 unique values
0 missing
FCFP4_1024b911numeric2 unique values
0 missing
FCFP4_1024b269numeric2 unique values
0 missing
FCFP4_1024b223numeric2 unique values
0 missing
FCFP4_1024b984numeric2 unique values
0 missing
FCFP4_1024b722numeric2 unique values
0 missing
FCFP4_1024b224numeric2 unique values
0 missing
FCFP4_1024b908numeric2 unique values
0 missing
FCFP4_1024b255numeric2 unique values
0 missing
FCFP4_1024b643numeric2 unique values
0 missing
FCFP4_1024b891numeric2 unique values
0 missing
FCFP4_1024b28numeric2 unique values
0 missing
FCFP4_1024b21numeric2 unique values
0 missing
FCFP4_1024b10numeric2 unique values
0 missing
FCFP4_1024b4numeric2 unique values
0 missing
FCFP4_1024b122numeric2 unique values
0 missing
FCFP4_1024b437numeric2 unique values
0 missing
FCFP4_1024b484numeric2 unique values
0 missing
FCFP4_1024b684numeric2 unique values
0 missing
FCFP4_1024b721numeric2 unique values
0 missing
FCFP4_1024b615numeric2 unique values
0 missing
FCFP4_1024b512numeric2 unique values
0 missing
FCFP4_1024b667numeric2 unique values
0 missing
FCFP4_1024b1numeric1 unique values
0 missing
FCFP4_1024b100numeric2 unique values
0 missing
FCFP4_1024b1000numeric1 unique values
0 missing
FCFP4_1024b1001numeric2 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_1024b1007numeric1 unique values
0 missing
FCFP4_1024b1008numeric1 unique values
0 missing
FCFP4_1024b1009numeric2 unique values
0 missing
FCFP4_1024b101numeric1 unique values
0 missing
FCFP4_1024b1010numeric2 unique values
0 missing
FCFP4_1024b1011numeric2 unique values
0 missing
FCFP4_1024b1012numeric1 unique values
0 missing
FCFP4_1024b1013numeric2 unique values
0 missing
FCFP4_1024b1014numeric1 unique values
0 missing
FCFP4_1024b1015numeric2 unique values
0 missing
FCFP4_1024b1016numeric1 unique values
0 missing
FCFP4_1024b1017numeric2 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_1024b103numeric2 unique values
0 missing
FCFP4_1024b104numeric1 unique values
0 missing
FCFP4_1024b105numeric2 unique values
0 missing
FCFP4_1024b106numeric2 unique values
0 missing
FCFP4_1024b107numeric2 unique values
0 missing
FCFP4_1024b108numeric2 unique values
0 missing
FCFP4_1024b109numeric1 unique values
0 missing
FCFP4_1024b11numeric2 unique values
0 missing
FCFP4_1024b110numeric2 unique values
0 missing
FCFP4_1024b111numeric2 unique values
0 missing
FCFP4_1024b112numeric2 unique values
0 missing
FCFP4_1024b113numeric2 unique values
0 missing
FCFP4_1024b114numeric2 unique values
0 missing
FCFP4_1024b115numeric1 unique values
0 missing
FCFP4_1024b116numeric1 unique values
0 missing
FCFP4_1024b117numeric2 unique values
0 missing
FCFP4_1024b118numeric1 unique values
0 missing
FCFP4_1024b119numeric1 unique values
0 missing
FCFP4_1024b12numeric2 unique values
0 missing
FCFP4_1024b120numeric2 unique values
0 missing
FCFP4_1024b121numeric1 unique values
0 missing
FCFP4_1024b123numeric2 unique values
0 missing
FCFP4_1024b124numeric1 unique values
0 missing
FCFP4_1024b125numeric1 unique values
0 missing
FCFP4_1024b126numeric1 unique values
0 missing
FCFP4_1024b127numeric1 unique values
0 missing
FCFP4_1024b128numeric2 unique values
0 missing
FCFP4_1024b129numeric1 unique values
0 missing
FCFP4_1024b13numeric1 unique values
0 missing
FCFP4_1024b130numeric2 unique values
0 missing
FCFP4_1024b131numeric2 unique values
0 missing
FCFP4_1024b132numeric1 unique values
0 missing
FCFP4_1024b133numeric2 unique values
0 missing
FCFP4_1024b134numeric2 unique values
0 missing
FCFP4_1024b135numeric1 unique values
0 missing
FCFP4_1024b136numeric2 unique values
0 missing
FCFP4_1024b137numeric2 unique values
0 missing
FCFP4_1024b138numeric1 unique values
0 missing
FCFP4_1024b139numeric2 unique values
0 missing
FCFP4_1024b14numeric2 unique values
0 missing
FCFP4_1024b140numeric2 unique values
0 missing
FCFP4_1024b141numeric1 unique values
0 missing
FCFP4_1024b142numeric2 unique values
0 missing
FCFP4_1024b143numeric1 unique values
0 missing
FCFP4_1024b144numeric1 unique values
0 missing
FCFP4_1024b145numeric2 unique values
0 missing
FCFP4_1024b146numeric1 unique values
0 missing
FCFP4_1024b147numeric1 unique values
0 missing
FCFP4_1024b148numeric2 unique values
0 missing
FCFP4_1024b149numeric1 unique values
0 missing
FCFP4_1024b15numeric2 unique values
0 missing
FCFP4_1024b150numeric2 unique values
0 missing
FCFP4_1024b151numeric2 unique values
0 missing
FCFP4_1024b152numeric2 unique values
0 missing
FCFP4_1024b153numeric2 unique values
0 missing
FCFP4_1024b154numeric2 unique values
0 missing
FCFP4_1024b155numeric1 unique values
0 missing
FCFP4_1024b156numeric2 unique values
0 missing
FCFP4_1024b157numeric1 unique values
0 missing
FCFP4_1024b158numeric2 unique values
0 missing
FCFP4_1024b159numeric1 unique values
0 missing
FCFP4_1024b16numeric1 unique values
0 missing
FCFP4_1024b160numeric2 unique values
0 missing
FCFP4_1024b161numeric1 unique values
0 missing
FCFP4_1024b162numeric2 unique values
0 missing
FCFP4_1024b163numeric1 unique values
0 missing
FCFP4_1024b164numeric2 unique values
0 missing
FCFP4_1024b165numeric2 unique values
0 missing
FCFP4_1024b166numeric1 unique values
0 missing
FCFP4_1024b167numeric1 unique values
0 missing
FCFP4_1024b168numeric2 unique values
0 missing
FCFP4_1024b169numeric1 unique values
0 missing
FCFP4_1024b17numeric1 unique values
0 missing
FCFP4_1024b170numeric1 unique values
0 missing
FCFP4_1024b171numeric2 unique values
0 missing
FCFP4_1024b172numeric1 unique values
0 missing
FCFP4_1024b173numeric2 unique values
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FCFP4_1024b174numeric2 unique values
0 missing
FCFP4_1024b175numeric1 unique values
0 missing
FCFP4_1024b176numeric2 unique values
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FCFP4_1024b177numeric2 unique values
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FCFP4_1024b178numeric2 unique values
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FCFP4_1024b179numeric1 unique values
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FCFP4_1024b18numeric2 unique values
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FCFP4_1024b180numeric2 unique values
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FCFP4_1024b181numeric2 unique values
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FCFP4_1024b182numeric2 unique values
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FCFP4_1024b183numeric1 unique values
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FCFP4_1024b184numeric2 unique values
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FCFP4_1024b185numeric2 unique values
0 missing
FCFP4_1024b186numeric1 unique values
0 missing
FCFP4_1024b187numeric2 unique values
0 missing
FCFP4_1024b188numeric1 unique values
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FCFP4_1024b189numeric2 unique values
0 missing
FCFP4_1024b19numeric2 unique values
0 missing
FCFP4_1024b190numeric2 unique values
0 missing
FCFP4_1024b191numeric1 unique values
0 missing
FCFP4_1024b192numeric1 unique values
0 missing
FCFP4_1024b193numeric2 unique values
0 missing
FCFP4_1024b194numeric1 unique values
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FCFP4_1024b195numeric1 unique values
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FCFP4_1024b196numeric2 unique values
0 missing
FCFP4_1024b197numeric1 unique values
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FCFP4_1024b198numeric1 unique values
0 missing
FCFP4_1024b199numeric2 unique values
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FCFP4_1024b2numeric2 unique values
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FCFP4_1024b20numeric2 unique values
0 missing
FCFP4_1024b200numeric1 unique values
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FCFP4_1024b201numeric1 unique values
0 missing
FCFP4_1024b202numeric1 unique values
0 missing
FCFP4_1024b203numeric1 unique values
0 missing
FCFP4_1024b204numeric2 unique values
0 missing
FCFP4_1024b205numeric2 unique values
0 missing
FCFP4_1024b206numeric1 unique values
0 missing
FCFP4_1024b207numeric1 unique values
0 missing
FCFP4_1024b208numeric2 unique values
0 missing
FCFP4_1024b209numeric2 unique values
0 missing
FCFP4_1024b210numeric1 unique values
0 missing
FCFP4_1024b211numeric1 unique values
0 missing
FCFP4_1024b212numeric1 unique values
0 missing
FCFP4_1024b213numeric2 unique values
0 missing
FCFP4_1024b214numeric1 unique values
0 missing
FCFP4_1024b215numeric1 unique values
0 missing
FCFP4_1024b216numeric1 unique values
0 missing
FCFP4_1024b217numeric1 unique values
0 missing
FCFP4_1024b218numeric1 unique values
0 missing
FCFP4_1024b219numeric2 unique values
0 missing
FCFP4_1024b22numeric1 unique values
0 missing
FCFP4_1024b220numeric1 unique values
0 missing
FCFP4_1024b221numeric2 unique values
0 missing
FCFP4_1024b222numeric2 unique values
0 missing
FCFP4_1024b225numeric1 unique values
0 missing
FCFP4_1024b226numeric2 unique values
0 missing
FCFP4_1024b227numeric1 unique values
0 missing
FCFP4_1024b228numeric1 unique values
0 missing
FCFP4_1024b229numeric2 unique values
0 missing
FCFP4_1024b23numeric1 unique values
0 missing
FCFP4_1024b230numeric1 unique values
0 missing
FCFP4_1024b231numeric1 unique values
0 missing
FCFP4_1024b232numeric1 unique values
0 missing
FCFP4_1024b233numeric1 unique values
0 missing
FCFP4_1024b234numeric1 unique values
0 missing
FCFP4_1024b235numeric2 unique values
0 missing
FCFP4_1024b236numeric1 unique values
0 missing
FCFP4_1024b237numeric1 unique values
0 missing
FCFP4_1024b238numeric1 unique values
0 missing
FCFP4_1024b239numeric1 unique values
0 missing
FCFP4_1024b24numeric1 unique values
0 missing
FCFP4_1024b240numeric2 unique values
0 missing
FCFP4_1024b241numeric2 unique values
0 missing
FCFP4_1024b242numeric1 unique values
0 missing
FCFP4_1024b243numeric1 unique values
0 missing
Show first 100 features

62 properties

NumberOfInstances
712
Number of instances (rows) of the dataset.
NumberOfFeatures
207
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
206
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
MeanKurtosisOfNumericAtts
165.75
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
0.09
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
4.05
First quartile of skewness among attributes of the numeric type.
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.
AutoCorrelation
-0.22
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
54.74
Second quartile (Median) of kurtosis among attributes of the numeric type.
Dimensionality
0.29
Number of attributes divided by the number of instances.
MeanSkewnessOfNumericAtts
9.73
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
0
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
0.1
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
7.52
Second quartile (Median) of skewness among attributes of the numeric type.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.96
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.05
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxKurtosisOfNumericAtts
712
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
7.88
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
233.99
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
99.52
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
0.03
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-18.83
Minimum skewness among attributes of the numeric type.
PercentageOfSymbolicFeatures
0.48
Percentage of nominal attributes.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
MaxSkewnessOfNumericAtts
26.68
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
15.34
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
1.38
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
14.94
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
0.15
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.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
1 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1946
0 runs - estimation_procedure: 50 times Clustering
Define a new task