Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2073707

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2073707

deactivated ARFF Publicly available Visibility: public Uploaded 14-07-2016 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: CHEMBL2073707 (TID: 104648), and it has 13 rows and 512 features (not including molecule IDs and class feature: molecule_id and pXC50). The features represent FCFP 1024-bit Molecular Fingerprints which were generated from SMILES strings. Feature selection was applied to this dataset. The fingerprints were obtained using the Pipeline Pilot program, Dassault Systèmes BIOVIA. Generating Fingerprints do not usually require missing value imputation as all bits are generated.

514 features

pXC50 (target)numeric13 unique values
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molecule_id (row identifier)nominal13 unique values
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FCFP4_1024b283numeric2 unique values
0 missing
FCFP4_1024b513numeric1 unique values
0 missing
FCFP4_1024b284numeric1 unique values
0 missing
FCFP4_1024b514numeric1 unique values
0 missing
FCFP4_1024b285numeric1 unique values
0 missing
FCFP4_1024b515numeric1 unique values
0 missing
FCFP4_1024b286numeric1 unique values
0 missing
FCFP4_1024b516numeric2 unique values
0 missing
FCFP4_1024b287numeric2 unique values
0 missing
FCFP4_1024b517numeric1 unique values
0 missing
FCFP4_1024b288numeric1 unique values
0 missing
FCFP4_1024b518numeric1 unique values
0 missing
FCFP4_1024b289numeric1 unique values
0 missing
FCFP4_1024b519numeric1 unique values
0 missing
FCFP4_1024b29numeric1 unique values
0 missing
FCFP4_1024b52numeric2 unique values
0 missing
FCFP4_1024b290numeric1 unique values
0 missing
FCFP4_1024b520numeric1 unique values
0 missing
FCFP4_1024b291numeric2 unique values
0 missing
FCFP4_1024b521numeric2 unique values
0 missing
FCFP4_1024b292numeric1 unique values
0 missing
FCFP4_1024b522numeric1 unique values
0 missing
FCFP4_1024b293numeric1 unique values
0 missing
FCFP4_1024b523numeric1 unique values
0 missing
FCFP4_1024b294numeric1 unique values
0 missing
FCFP4_1024b524numeric2 unique values
0 missing
FCFP4_1024b295numeric1 unique values
0 missing
FCFP4_1024b525numeric1 unique values
0 missing
FCFP4_1024b296numeric1 unique values
0 missing
FCFP4_1024b526numeric2 unique values
0 missing
FCFP4_1024b297numeric1 unique values
0 missing
FCFP4_1024b527numeric1 unique values
0 missing
FCFP4_1024b298numeric1 unique values
0 missing
FCFP4_1024b528numeric1 unique values
0 missing
FCFP4_1024b299numeric1 unique values
0 missing
FCFP4_1024b529numeric1 unique values
0 missing
FCFP4_1024b3numeric1 unique values
0 missing
FCFP4_1024b53numeric1 unique values
0 missing
FCFP4_1024b30numeric1 unique values
0 missing
FCFP4_1024b530numeric2 unique values
0 missing
FCFP4_1024b300numeric1 unique values
0 missing
FCFP4_1024b531numeric2 unique values
0 missing
FCFP4_1024b301numeric1 unique values
0 missing
FCFP4_1024b532numeric2 unique values
0 missing
FCFP4_1024b302numeric1 unique values
0 missing
FCFP4_1024b533numeric1 unique values
0 missing
FCFP4_1024b303numeric2 unique values
0 missing
FCFP4_1024b534numeric1 unique values
0 missing
FCFP4_1024b304numeric1 unique values
0 missing
FCFP4_1024b535numeric2 unique values
0 missing

62 properties

13
Number of instances (rows) of the dataset.
514
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.
513
Number of numeric attributes.
1
Number of nominal attributes.
Maximum entropy among attributes.
-2.36
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0
Second quartile (Median) of standard deviation of attributes of the numeric type.
13
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.
5
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.
13
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.
99.81
Percentage of numeric attributes.
0
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.45
Minimum skewness among attributes of the numeric type.
0.19
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
3.61
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
3.61
Third quartile of skewness among attributes of the numeric type.
0.62
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.09
First quartile of kurtosis among attributes of the numeric type.
0
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
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
6.78
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.
0.05
Mean of means among attributes of the numeric type.
1.45
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0
First quartile of standard deviation of attributes of the numeric type.
0.41
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.
39.54
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
13
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.
2.37
Mean skewness among attributes of the numeric type.
0
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
0.07
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.
3.61
Second quartile (Median) of skewness among attributes of the numeric type.

12 tasks

0 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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