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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1293314

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1293314

deactivated ARFF Publicly available Visibility: public Uploaded 16-07-2016 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: CHEMBL1293314 (TID: 103747), and it has 42 rows and 43 features (not including molecule IDs and class feature: molecule_id and pXC50). The features represent Basic Molecular Descriptors which were generated from SMILES strings. Missing value imputation was applied to this dataset (By choosing the Median).

45 features

pXC50 (target)numeric22 unique values
0 missing
molecule_id (row identifier)nominal42 unique values
0 missing
AMWnumeric42 unique values
0 missing
C.numeric33 unique values
0 missing
H.numeric37 unique values
0 missing
Menumeric31 unique values
0 missing
Minumeric24 unique values
0 missing
Mpnumeric34 unique values
0 missing
Mvnumeric37 unique values
0 missing
MWnumeric42 unique values
0 missing
N.numeric35 unique values
0 missing
nABnumeric11 unique values
0 missing
nATnumeric26 unique values
0 missing
nBnumeric1 unique values
0 missing
nBMnumeric18 unique values
0 missing
nBOnumeric16 unique values
0 missing
nBRnumeric2 unique values
0 missing
nBTnumeric26 unique values
0 missing
nCnumeric14 unique values
0 missing
nCLnumeric3 unique values
0 missing
nCspnumeric2 unique values
0 missing
nCsp2numeric14 unique values
0 missing
nCsp3numeric11 unique values
0 missing
nDBnumeric5 unique values
0 missing
nFnumeric5 unique values
0 missing
nHnumeric21 unique values
0 missing
nHetnumeric9 unique values
0 missing
nHMnumeric4 unique values
0 missing
nInumeric1 unique values
0 missing
nNnumeric7 unique values
0 missing
nOnumeric7 unique values
0 missing
nPnumeric1 unique values
0 missing
nSnumeric4 unique values
0 missing
nSKnumeric15 unique values
0 missing
nTBnumeric2 unique values
0 missing
nXnumeric6 unique values
0 missing
O.numeric32 unique values
0 missing
RBFnumeric34 unique values
0 missing
RBNnumeric11 unique values
0 missing
SCBOnumeric30 unique values
0 missing
Senumeric42 unique values
0 missing
Sinumeric41 unique values
0 missing
Spnumeric42 unique values
0 missing
Svnumeric42 unique values
0 missing
X.numeric14 unique values
0 missing

62 properties

42
Number of instances (rows) of the dataset.
45
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
44
Number of numeric attributes.
1
Number of nominal attributes.
Maximum entropy among attributes.
-1.16
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
2.08
Second quartile (Median) of standard deviation of attributes of the numeric type.
18.3
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
404.31
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
0.84
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
97.78
Percentage of numeric attributes.
29.77
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.14
Minimum skewness among attributes of the numeric type.
2.22
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
4.41
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.85
Third quartile of skewness among attributes of the numeric type.
66.45
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.75
First quartile of kurtosis among attributes of the numeric type.
5.09
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.68
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
1.78
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
22.55
Mean of means among attributes of the numeric type.
-0.2
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.45
First quartile of standard deviation of attributes of the numeric type.
0.77
Average class difference between consecutive instances.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
1.07
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.22
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
0.52
Mean skewness among attributes of the numeric type.
5.04
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
4.33
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.1
Second quartile (Median) of skewness among attributes of the numeric type.

12 tasks

1 runs - estimation_procedure: Custom 10-fold Crossvalidation - target_feature: pXC50
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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