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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4577

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4577

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 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: CHEMBL4577 (TID: 100853), and it has 76 rows and 65 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.

67 features

pXC50 (target)numeric33 unique values
0 missing
molecule_id (row identifier)nominal76 unique values
0 missing
AACnumeric71 unique values
0 missing
AECCnumeric76 unique values
0 missing
ALOGPnumeric76 unique values
0 missing
ALOGP2numeric76 unique values
0 missing
AMRnumeric76 unique values
0 missing
AMWnumeric72 unique values
0 missing
ARRnumeric63 unique values
0 missing
ATS1enumeric72 unique values
0 missing
ATS1inumeric71 unique values
0 missing
ATS1mnumeric72 unique values
0 missing
ATS1pnumeric71 unique values
0 missing
ATS1snumeric71 unique values
0 missing
ATS1vnumeric70 unique values
0 missing
ATS2enumeric72 unique values
0 missing
ATS2inumeric73 unique values
0 missing
ATS2mnumeric74 unique values
0 missing
ATS2pnumeric73 unique values
0 missing
ATS2snumeric76 unique values
0 missing
ATS2vnumeric75 unique values
0 missing
ATS3enumeric76 unique values
0 missing
ATS3inumeric73 unique values
0 missing
ATS3mnumeric73 unique values
0 missing
ATS3pnumeric72 unique values
0 missing
ATS3snumeric70 unique values
0 missing
ATS3vnumeric73 unique values
0 missing
ATS4enumeric74 unique values
0 missing
ATS4inumeric75 unique values
0 missing
ATS4mnumeric72 unique values
0 missing
ATS4pnumeric72 unique values
0 missing
ATS4snumeric75 unique values
0 missing
ATS4vnumeric75 unique values
0 missing
ATS5enumeric74 unique values
0 missing
ATS5inumeric75 unique values
0 missing
ATS5mnumeric74 unique values
0 missing
ATS5pnumeric75 unique values
0 missing
ATS5snumeric75 unique values
0 missing
ATS5vnumeric74 unique values
0 missing
ATS6enumeric72 unique values
0 missing
ATS6inumeric74 unique values
0 missing
ATS6mnumeric73 unique values
0 missing
ATS6pnumeric73 unique values
0 missing
ATS6snumeric75 unique values
0 missing
ATS6vnumeric74 unique values
0 missing
ATS7enumeric75 unique values
0 missing
ATS7inumeric75 unique values
0 missing
ATS7mnumeric75 unique values
0 missing
ATS7pnumeric75 unique values
0 missing
ATS7snumeric74 unique values
0 missing
ATS7vnumeric75 unique values
0 missing
ATS8enumeric73 unique values
0 missing
ATS8inumeric75 unique values
0 missing
ATS8mnumeric75 unique values
0 missing
ATS8pnumeric75 unique values
0 missing
ATS8snumeric76 unique values
0 missing
ATS8vnumeric73 unique values
0 missing
ATSC1enumeric69 unique values
0 missing
ATSC1inumeric72 unique values
0 missing
ATSC1mnumeric74 unique values
0 missing
ATSC1pnumeric75 unique values
0 missing
ATSC1snumeric76 unique values
0 missing
ATSC1vnumeric75 unique values
0 missing
ATSC2enumeric69 unique values
0 missing
ATSC2inumeric73 unique values
0 missing
ATSC2mnumeric75 unique values
0 missing
ATSC2pnumeric75 unique values
0 missing

62 properties

76
Number of instances (rows) of the dataset.
67
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.
66
Number of numeric attributes.
1
Number of nominal attributes.
Third quartile of entropy among attributes.
8.83
Maximum kurtosis among attributes of the numeric type.
0.11
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
0.15
Third quartile of kurtosis among attributes of the numeric type.
123.13
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.
5.6
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.
98.51
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.
-1.04
Minimum skewness among attributes of the numeric type.
1.49
Percentage of nominal attributes.
0.38
Third quartile of skewness among attributes of the numeric type.
2.54
Maximum skewness among attributes of the numeric type.
0.07
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.4
Third quartile of standard deviation of attributes of the numeric type.
23.19
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.62
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.
4.04
First quartile of means among attributes of the numeric type.
0.12
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.
6.99
Mean of means among attributes of the numeric type.
-0.05
First quartile of skewness among attributes of the numeric type.
0.09
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.25
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.
0.88
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.3
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.
0.24
Mean skewness among attributes of the numeric type.
4.44
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
1.23
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.
0.14
Second quartile (Median) of skewness among attributes of the numeric type.
0.33
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.1
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.

12 tasks

2 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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