Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908

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: CHEMBL1908 (TID: 76), and it has 454 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)numeric373 unique values
0 missing
molecule_id (row identifier)nominal454 unique values
0 missing
nImidazolesnumeric3 unique values
0 missing
C.042numeric3 unique values
0 missing
N.073numeric3 unique values
0 missing
D.Dtr05numeric194 unique values
0 missing
C.027numeric5 unique values
0 missing
nPyridinesnumeric3 unique values
0 missing
MATS1inumeric226 unique values
0 missing
P_VSA_LogP_6numeric33 unique values
0 missing
SRW05numeric6 unique values
0 missing
SaasNnumeric164 unique values
0 missing
C.006numeric5 unique values
0 missing
NaasNnumeric3 unique values
0 missing
H.048numeric4 unique values
0 missing
N.numeric81 unique values
0 missing
CATS2D_02_AAnumeric5 unique values
0 missing
C.033numeric4 unique values
0 missing
GATS1inumeric263 unique values
0 missing
nNnumeric6 unique values
0 missing
Chi1_EA.dm.numeric274 unique values
0 missing
nR05numeric4 unique values
0 missing
P_VSA_e_3numeric35 unique values
0 missing
Eta_betaS_Anumeric82 unique values
0 missing
CATS2D_04_LLnumeric35 unique values
0 missing
GATS4vnumeric264 unique values
0 missing
SpMin1_Bh.e.numeric179 unique values
0 missing
MATS1vnumeric123 unique values
0 missing
SpMin4_Bh.e.numeric261 unique values
0 missing
SRW07numeric17 unique values
0 missing
SRW09numeric33 unique values
0 missing
P_VSA_i_4numeric51 unique values
0 missing
SpMin4_Bh.i.numeric263 unique values
0 missing
GATS4pnumeric276 unique values
0 missing
CATS2D_03_LLnumeric35 unique values
0 missing
IC1numeric275 unique values
0 missing
SpMin1_Bh.i.numeric157 unique values
0 missing
SssCH2numeric336 unique values
0 missing
GATS3inumeric264 unique values
0 missing
GATS3vnumeric246 unique values
0 missing
SpMax2_Bh.e.numeric165 unique values
0 missing
MATS3inumeric243 unique values
0 missing
MATS4inumeric259 unique values
0 missing
CATS2D_01_LLnumeric25 unique values
0 missing
SpMin2_Bh.p.numeric180 unique values
0 missing
CATS2D_02_LLnumeric34 unique values
0 missing
CATS2D_04_ALnumeric16 unique values
0 missing
SpMin1_Bh.p.numeric151 unique values
0 missing
SpMax2_Bh.i.numeric162 unique values
0 missing
NssCH2numeric9 unique values
0 missing
MATS4pnumeric273 unique values
0 missing
NaaNHnumeric2 unique values
0 missing
SaaNHnumeric12 unique values
0 missing
SpMin1_Bh.m.numeric182 unique values
0 missing
MATS4vnumeric274 unique values
0 missing
SpMin4_Bh.p.numeric257 unique values
0 missing
SpDiam_EA.ri.numeric277 unique values
0 missing
SpMax2_Bh.m.numeric200 unique values
0 missing
GATS3mnumeric242 unique values
0 missing
MATS3vnumeric245 unique values
0 missing
CATS2D_04_AAnumeric5 unique values
0 missing
SM12_EA.ed.numeric264 unique values
0 missing
PW4numeric64 unique values
0 missing
SM10_EA.ed.numeric262 unique values
0 missing
SM11_EA.ed.numeric266 unique values
0 missing
GATS3pnumeric256 unique values
0 missing
Show all 66 features

62 properties

NumberOfInstances
454
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.
MaxMeansOfNumericAtts
37.73
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
0.95
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
98.48
Percentage of numeric attributes.
Quartile3MeansOfNumericAtts
4.82
Third quartile of means among attributes of the numeric type.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-1.18
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.
MaxSkewnessOfNumericAtts
5.06
Maximum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.01
Minimum standard deviation of attributes of the numeric type.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile3SkewnessOfNumericAtts
0.74
Third quartile of skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
34.15
Maximum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
Quartile1KurtosisOfNumericAtts
-0.3
First quartile of kurtosis among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
1.51
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
0.48
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
1.46
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
5.07
Mean of means among attributes of the numeric type.
Quartile1SkewnessOfNumericAtts
-0.12
First quartile of skewness among attributes of the numeric type.
AutoCorrelation
0.23
Average class difference between consecutive instances.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
Quartile1StdDevOfNumericAtts
0.11
First quartile of standard deviation of attributes of the numeric type.
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
0.15
Number of attributes divided by the number of instances.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
Quartile2KurtosisOfNumericAtts
0.26
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
0.51
Mean skewness among attributes of the numeric type.
Quartile2MeansOfNumericAtts
1.51
Second quartile (Median) of means among attributes of the numeric type.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MeanStdDevOfNumericAtts
2.28
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
0.38
Second quartile (Median) of skewness among attributes of the numeric type.
MaxAttributeEntropy
Maximum entropy among attributes.
MinKurtosisOfNumericAtts
-1.84
Minimum kurtosis among attributes of the numeric type.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Quartile2StdDevOfNumericAtts
0.51
Second quartile (Median) of standard deviation of attributes of the numeric type.
MaxKurtosisOfNumericAtts
23.76
Maximum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-0.13
Minimum of means among attributes of the numeric type.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1908
0 runs - estimation_procedure: 50 times Clustering
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