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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959

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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: CHEMBL3959 (TID: 10170), and it has 233 rows and 66 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.

68 features

pXC50 (target)numeric191 unique values
0 missing
ATSC3mnumeric220 unique values
0 missing
TIC2numeric191 unique values
0 missing
TIC3numeric168 unique values
0 missing
H.052numeric11 unique values
0 missing
SIC3numeric115 unique values
0 missing
TIC4numeric154 unique values
0 missing
IDEnumeric185 unique values
0 missing
GGI8numeric106 unique values
0 missing
ATSC2inumeric176 unique values
0 missing
IC1numeric173 unique values
0 missing
MDDDnumeric193 unique values
0 missing
GGI7numeric127 unique values
0 missing
ATS8mnumeric208 unique values
0 missing
ATS3inumeric186 unique values
0 missing
RBNnumeric11 unique values
0 missing
SaaaCnumeric147 unique values
0 missing
LOCnumeric136 unique values
0 missing
AECCnumeric171 unique values
0 missing
DBInumeric32 unique values
0 missing
VARnumeric93 unique values
0 missing
SpMin3_Bh.s.numeric143 unique values
0 missing
CATS2D_02_DLnumeric11 unique values
0 missing
HVcpxnumeric176 unique values
0 missing
AMRnumeric201 unique values
0 missing
TIC5numeric153 unique values
0 missing
SpMax6_Bh.m.numeric186 unique values
0 missing
X0vnumeric194 unique values
0 missing
ATS8snumeric209 unique values
0 missing
ATSC3inumeric192 unique values
0 missing
ATSC1inumeric161 unique values
0 missing
CENTnumeric179 unique values
0 missing
X1vnumeric207 unique values
0 missing
Eig04_EAnumeric158 unique values
0 missing
CATS2D_07_DLnumeric8 unique values
0 missing
GGI9numeric87 unique values
0 missing
JGI9numeric21 unique values
0 missing
P_VSA_LogP_2numeric52 unique values
0 missing
Hynumeric134 unique values
0 missing
CATS2D_04_DLnumeric9 unique values
0 missing
CATS2D_05_DLnumeric7 unique values
0 missing
SpMax3_Bh.e.numeric173 unique values
0 missing
IC4numeric141 unique values
0 missing
CATS2D_03_DLnumeric9 unique values
0 missing
ATS7mnumeric210 unique values
0 missing
IC3numeric151 unique values
0 missing
CATS2D_06_DLnumeric8 unique values
0 missing
IC2numeric179 unique values
0 missing
C.006numeric6 unique values
0 missing
NssCH2numeric10 unique values
0 missing
SssCH2numeric135 unique values
0 missing
SpMin4_Bh.e.numeric172 unique values
0 missing
SssNHnumeric130 unique values
0 missing
NssNHnumeric4 unique values
0 missing
SpMax4_Bh.m.numeric172 unique values
0 missing
SpMax3_Bh.m.numeric173 unique values
0 missing
MSDnumeric194 unique values
0 missing
BIC3numeric110 unique values
0 missing
SpMax3_Bh.v.numeric161 unique values
0 missing
DECCnumeric159 unique values
0 missing
molecule_id (row identifier)nominal233 unique values
0 missing
SpMin1_Bh.s.numeric130 unique values
0 missing
ICRnumeric142 unique values
0 missing
SAdonnumeric27 unique values
0 missing
nHDonnumeric7 unique values
0 missing
H.050numeric7 unique values
0 missing
TIC1numeric188 unique values
0 missing
RBFnumeric74 unique values
0 missing
Show all 68 features

62 properties

NumberOfInstances
233
Number of instances (rows) of the dataset.
NumberOfFeatures
68
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
67
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Quartile1MutualInformation
First quartile of mutual information between the nominal attributes and the target attribute.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfNumericFeatures
98.53
Percentage of numeric attributes.
PercentageOfSymbolicFeatures
1.47
Percentage of nominal attributes.
Quartile1AttributeEntropy
First quartile of entropy among attributes.
Quartile1KurtosisOfNumericAtts
0.02
First quartile of kurtosis among attributes of the numeric type.
Quartile1MeansOfNumericAtts
1.27
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.
Quartile1SkewnessOfNumericAtts
-0.12
First quartile of skewness among attributes of the numeric type.
Quartile1StdDevOfNumericAtts
0.26
First quartile of standard deviation of attributes of the numeric type.
Quartile2AttributeEntropy
Second quartile (Median) of entropy among attributes.
Quartile2KurtosisOfNumericAtts
0.71
Second quartile (Median) of kurtosis among attributes of the numeric type.
Quartile2MeansOfNumericAtts
2.87
Second quartile (Median) of means among attributes of the numeric type.
Quartile2MutualInformation
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Quartile2SkewnessOfNumericAtts
0.52
Second quartile (Median) of skewness among attributes of the numeric type.
Quartile2StdDevOfNumericAtts
0.86
Second quartile (Median) of standard deviation of attributes of the numeric type.
Quartile3AttributeEntropy
Third quartile of entropy among attributes.
Quartile3KurtosisOfNumericAtts
2.12
Third quartile of kurtosis among attributes of the numeric type.
Quartile3MeansOfNumericAtts
5.23
Third quartile of means among attributes of the numeric type.
Quartile3MutualInformation
Third quartile of mutual information between the nominal attributes and the target attribute.
Quartile3SkewnessOfNumericAtts
1.02
Third quartile of skewness among attributes of the numeric type.
Quartile3StdDevOfNumericAtts
1.94
Third quartile of standard deviation of attributes of the numeric type.
AutoCorrelation
0.1
Average class difference between consecutive instances.
MeanMeansOfNumericAtts
28.96
Mean of means among attributes of the numeric type.
ClassEntropy
Entropy of the target attribute values.
Dimensionality
0.29
Number of attributes divided by the number of instances.
EquivalentNumberOfAtts
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MaxAttributeEntropy
Maximum entropy among attributes.
MaxKurtosisOfNumericAtts
14.22
Maximum kurtosis among attributes of the numeric type.
MaxMeansOfNumericAtts
709.45
Maximum of means among attributes of the numeric type.
MaxMutualInformation
Maximum mutual information between the nominal attributes and the target attribute.
MaxNominalAttDistinctValues
The maximum number of distinct values among attributes of the nominal type.
MaxSkewnessOfNumericAtts
2.83
Maximum skewness among attributes of the numeric type.
MaxStdDevOfNumericAtts
523.16
Maximum standard deviation of attributes of the numeric type.
MeanAttributeEntropy
Average entropy of the attributes.
MeanKurtosisOfNumericAtts
1.72
Mean kurtosis among attributes of the numeric type.
NumberOfBinaryFeatures
0
Number of binary attributes.
MeanMutualInformation
Average mutual information between the nominal attributes and the target attribute.
MeanNoiseToSignalRatio
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
MeanNominalAttDistinctValues
Average number of distinct values among the attributes of the nominal type.
MeanSkewnessOfNumericAtts
0.47
Mean skewness among attributes of the numeric type.
MeanStdDevOfNumericAtts
13.8
Mean standard deviation of attributes of the numeric type.
MinAttributeEntropy
Minimal entropy among attributes.
MinKurtosisOfNumericAtts
-0.96
Minimum kurtosis among attributes of the numeric type.
MinMeansOfNumericAtts
-0.03
Minimum of means among attributes of the numeric type.
MinMutualInformation
Minimal mutual information between the nominal attributes and the target attribute.
MinNominalAttDistinctValues
The minimal number of distinct values among attributes of the nominal type.
MinSkewnessOfNumericAtts
-2.45
Minimum skewness among attributes of the numeric type.
MinStdDevOfNumericAtts
0.01
Minimum standard deviation of attributes of the numeric type.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
Show all 62 properties

12 tasks

Supervised Regression on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
2 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Clustering on QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3959
0 runs - estimation_procedure: 50 times Clustering
Define a new task

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