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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5372

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5372

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: CHEMBL5372 (TID: 12821), and it has 40 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)numeric28 unique values
0 missing
molecule_id (row identifier)nominal40 unique values
0 missing
AMWnumeric37 unique values
0 missing
C.numeric17 unique values
0 missing
H.numeric24 unique values
0 missing
Menumeric21 unique values
0 missing
Minumeric17 unique values
0 missing
Mpnumeric28 unique values
0 missing
Mvnumeric31 unique values
0 missing
MWnumeric37 unique values
0 missing
N.numeric24 unique values
0 missing
nABnumeric4 unique values
0 missing
nATnumeric16 unique values
0 missing
nBnumeric1 unique values
0 missing
nBMnumeric6 unique values
0 missing
nBOnumeric9 unique values
0 missing
nBRnumeric3 unique values
0 missing
nBTnumeric13 unique values
0 missing
nCnumeric7 unique values
0 missing
nCLnumeric4 unique values
0 missing
nCspnumeric2 unique values
0 missing
nCsp2numeric6 unique values
0 missing
nCsp3numeric4 unique values
0 missing
nDBnumeric3 unique values
0 missing
nFnumeric1 unique values
0 missing
nHnumeric11 unique values
0 missing
nHetnumeric4 unique values
0 missing
nHMnumeric3 unique values
0 missing
nInumeric2 unique values
0 missing
nNnumeric5 unique values
0 missing
nOnumeric4 unique values
0 missing
nPnumeric1 unique values
0 missing
nSnumeric2 unique values
0 missing
nSKnumeric7 unique values
0 missing
nTBnumeric2 unique values
0 missing
nXnumeric3 unique values
0 missing
O.numeric15 unique values
0 missing
RBFnumeric17 unique values
0 missing
RBNnumeric5 unique values
0 missing
SCBOnumeric13 unique values
0 missing
Senumeric37 unique values
0 missing
Sinumeric37 unique values
0 missing
Spnumeric37 unique values
0 missing
Svnumeric37 unique values
0 missing
X.numeric15 unique values
0 missing

62 properties

40
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.
-1.71
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
1.07
Second quartile (Median) of standard deviation of attributes of the numeric type.
40
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.
457.08
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.
0.24
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.
27.72
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-2.34
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.
6.32
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.47
Third quartile of skewness among attributes of the numeric type.
35.44
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.79
First quartile of kurtosis among attributes of the numeric type.
2.03
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.
0.69
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
2.64
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.
23.68
Mean of means among attributes of the numeric type.
-0.29
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.32
First quartile of standard deviation of attributes of the numeric type.
0.14
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.
1.13
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.38
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.
0.43
Mean skewness among attributes of the numeric type.
6.39
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
2.09
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.
0.15
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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