Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3840

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3840

deactivated ARFF Publicly available Visibility: public Uploaded 04-04-2016 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: CHEMBL3840 (TID: CHEMBL3840), and it has 61 rows and 43 features (including IDs and class feature: molecule_id and pXC50). The features represent Molecular Descriptors which were generated from SMILES strings (with imputation of missing values if they exist).

45 features

pXC50 (target)numeric43 unique values
0 missing
molecule_id (row identifier)nominal61 unique values
0 missing
AMWnumeric51 unique values
0 missing
C.numeric24 unique values
0 missing
H.numeric30 unique values
0 missing
Menumeric18 unique values
0 missing
Minumeric10 unique values
0 missing
Mpnumeric21 unique values
0 missing
Mvnumeric24 unique values
0 missing
MWnumeric52 unique values
0 missing
N.numeric30 unique values
0 missing
nABnumeric4 unique values
0 missing
nATnumeric43 unique values
0 missing
nBnumeric1 unique values
0 missing
nBMnumeric14 unique values
0 missing
nBOnumeric28 unique values
0 missing
nBRnumeric1 unique values
0 missing
nBTnumeric42 unique values
0 missing
nCnumeric26 unique values
0 missing
nCLnumeric1 unique values
0 missing
nCspnumeric1 unique values
0 missing
nCsp2numeric14 unique values
0 missing
nCsp3numeric16 unique values
0 missing
nDBnumeric10 unique values
0 missing
nFnumeric1 unique values
0 missing
nHnumeric29 unique values
0 missing
nHetnumeric17 unique values
0 missing
nHMnumeric2 unique values
0 missing
nInumeric1 unique values
0 missing
nNnumeric11 unique values
0 missing
nOnumeric12 unique values
0 missing
nPnumeric1 unique values
0 missing
nSnumeric2 unique values
0 missing
nSKnumeric27 unique values
0 missing
nTBnumeric1 unique values
0 missing
nXnumeric1 unique values
0 missing
O.numeric26 unique values
0 missing
RBFnumeric37 unique values
0 missing
RBNnumeric19 unique values
0 missing
SCBOnumeric32 unique values
0 missing
Senumeric52 unique values
0 missing
Sinumeric52 unique values
0 missing
Spnumeric52 unique values
0 missing
Svnumeric52 unique values
0 missing
X.numeric1 unique values
0 missing

62 properties

61
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.
57.16
Third quartile of means 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.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-0.82
Minimum skewness among attributes of the numeric type.
2.22
Percentage of nominal attributes.
2.44
Third quartile of skewness among attributes of the numeric type.
4.28
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
13.77
Third quartile of standard deviation of attributes of the numeric type.
250.81
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.59
First quartile of kurtosis among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.05
First quartile of means among attributes of the numeric type.
6.46
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.
45.9
Mean of means among attributes of the numeric type.
0.24
First quartile of skewness among attributes of the numeric type.
0.03
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0
First quartile of standard deviation of attributes of the numeric type.
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.
0.74
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
8.71
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.
1.59
Mean skewness among attributes of the numeric type.
9.29
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
12.77
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.
2.25
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.3
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
1.5
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
16.83
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.
10.22
Third quartile of kurtosis among attributes of the numeric type.
841.62
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.

3 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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