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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5685

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5685

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: CHEMBL5685 (TID: 101283), and it has 75 rows and 130 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.

132 features

pXC50 (target)numeric69 unique values
0 missing
molecule_id (row identifier)nominal75 unique values
0 missing
CATS2D_02_LLnumeric25 unique values
0 missing
C.numeric58 unique values
0 missing
AACnumeric67 unique values
0 missing
AECCnumeric65 unique values
0 missing
ALOGPnumeric73 unique values
0 missing
ALOGP2numeric73 unique values
0 missing
AMRnumeric73 unique values
0 missing
AMWnumeric72 unique values
0 missing
ARRnumeric37 unique values
0 missing
ATS1enumeric68 unique values
0 missing
ATS1inumeric66 unique values
0 missing
ATS1mnumeric71 unique values
0 missing
ATS1pnumeric69 unique values
0 missing
ATS1snumeric70 unique values
0 missing
ATS1vnumeric67 unique values
0 missing
ATS2enumeric72 unique values
0 missing
ATS2inumeric70 unique values
0 missing
ATS2mnumeric70 unique values
0 missing
ATS2pnumeric72 unique values
0 missing
ATS2snumeric73 unique values
0 missing
ATS2vnumeric71 unique values
0 missing
ATS3enumeric71 unique values
0 missing
ATS3inumeric69 unique values
0 missing
ATS3mnumeric70 unique values
0 missing
ATS3pnumeric71 unique values
0 missing
ATS3snumeric71 unique values
0 missing
ATS3vnumeric70 unique values
0 missing
ATS4enumeric69 unique values
0 missing
ATS4inumeric72 unique values
0 missing
ATS4mnumeric72 unique values
0 missing
ATS4pnumeric71 unique values
0 missing
ATS4snumeric71 unique values
0 missing
ATS4vnumeric72 unique values
0 missing
ATS5enumeric71 unique values
0 missing
ATS5inumeric70 unique values
0 missing
ATS5mnumeric70 unique values
0 missing
ATS5pnumeric72 unique values
0 missing
ATS5snumeric71 unique values
0 missing
ATS5vnumeric73 unique values
0 missing
ATS6enumeric70 unique values
0 missing
ATS6inumeric72 unique values
0 missing
ATS6mnumeric72 unique values
0 missing
ATS6pnumeric73 unique values
0 missing
ATS6snumeric69 unique values
0 missing
ATS6vnumeric72 unique values
0 missing
ATS7enumeric70 unique values
0 missing
ATS7inumeric69 unique values
0 missing
ATS7mnumeric69 unique values
0 missing
ATS7pnumeric72 unique values
0 missing
ATS7snumeric71 unique values
0 missing
ATS7vnumeric70 unique values
0 missing
ATS8enumeric69 unique values
0 missing
ATS8inumeric68 unique values
0 missing
ATS8mnumeric70 unique values
0 missing
ATS8pnumeric69 unique values
0 missing
ATS8snumeric69 unique values
0 missing
ATS8vnumeric70 unique values
0 missing
ATSC1enumeric52 unique values
0 missing
ATSC1inumeric69 unique values
0 missing
ATSC1mnumeric72 unique values
0 missing
ATSC1pnumeric72 unique values
0 missing
ATSC1snumeric73 unique values
0 missing
ATSC1vnumeric72 unique values
0 missing
ATSC2enumeric65 unique values
0 missing
ATSC2inumeric71 unique values
0 missing
ATSC2mnumeric73 unique values
0 missing
ATSC2pnumeric73 unique values
0 missing
ATSC2snumeric73 unique values
0 missing
ATSC2vnumeric73 unique values
0 missing
ATSC3enumeric69 unique values
0 missing
ATSC3inumeric72 unique values
0 missing
ATSC3mnumeric73 unique values
0 missing
ATSC3pnumeric72 unique values
0 missing
ATSC3snumeric73 unique values
0 missing
ATSC3vnumeric73 unique values
0 missing
ATSC4enumeric66 unique values
0 missing
ATSC4inumeric70 unique values
0 missing
ATSC4mnumeric73 unique values
0 missing
ATSC4pnumeric72 unique values
0 missing
ATSC4snumeric73 unique values
0 missing
ATSC4vnumeric72 unique values
0 missing
ATSC5enumeric67 unique values
0 missing
ATSC5inumeric73 unique values
0 missing
ATSC5mnumeric73 unique values
0 missing
ATSC5pnumeric73 unique values
0 missing
ATSC5snumeric73 unique values
0 missing
ATSC5vnumeric73 unique values
0 missing
ATSC6enumeric70 unique values
0 missing
ATSC6inumeric71 unique values
0 missing
ATSC6mnumeric73 unique values
0 missing
ATSC6pnumeric73 unique values
0 missing
ATSC6snumeric73 unique values
0 missing
ATSC6vnumeric72 unique values
0 missing
ATSC7enumeric70 unique values
0 missing
ATSC7inumeric70 unique values
0 missing
ATSC7mnumeric72 unique values
0 missing
ATSC7pnumeric71 unique values
0 missing
ATSC7snumeric71 unique values
0 missing
ATSC7vnumeric72 unique values
0 missing
ATSC8enumeric71 unique values
0 missing
ATSC8inumeric72 unique values
0 missing
ATSC8mnumeric72 unique values
0 missing
ATSC8pnumeric71 unique values
0 missing
ATSC8snumeric72 unique values
0 missing
ATSC8vnumeric72 unique values
0 missing
BACnumeric39 unique values
0 missing
BBInumeric34 unique values
0 missing
BIC0numeric58 unique values
0 missing
BIC1numeric66 unique values
0 missing
BIC2numeric65 unique values
0 missing
BIC3numeric61 unique values
0 missing
BIC4numeric64 unique values
0 missing
BIC5numeric66 unique values
0 missing
BIDnumeric57 unique values
0 missing
BLInumeric63 unique values
0 missing
BLTA96numeric65 unique values
0 missing
BLTD48numeric66 unique values
0 missing
BLTF96numeric65 unique values
0 missing
C.001numeric5 unique values
0 missing
C.002numeric12 unique values
0 missing
C.003numeric5 unique values
0 missing
C.004numeric3 unique values
0 missing
C.005numeric5 unique values
0 missing
C.006numeric10 unique values
0 missing
C.007numeric2 unique values
0 missing
C.008numeric5 unique values
0 missing
C.011numeric2 unique values
0 missing
C.013numeric2 unique values
0 missing
C.015numeric2 unique values
0 missing
C.016numeric5 unique values
0 missing

62 properties

75
Number of instances (rows) of the dataset.
132
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.
131
Number of numeric attributes.
1
Number of nominal attributes.
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.
1.76
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
1.41
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.
0.37
Mean skewness among attributes of the numeric type.
3.97
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
3.93
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.
0.37
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.46
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.65
Second quartile (Median) of standard deviation of attributes of the numeric type.
75
Maximum kurtosis among attributes of the numeric type.
-3.55
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
92.45
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.
3.57
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.
99.24
Percentage of numeric attributes.
9.78
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.83
Minimum skewness among attributes of the numeric type.
0.76
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
8.66
Maximum skewness among attributes of the numeric type.
0.05
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.17
Third quartile of skewness among attributes of the numeric type.
38.11
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.52
First quartile of kurtosis among attributes of the numeric type.
3.74
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.
1.12
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
3.54
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.
8.64
Mean of means among attributes of the numeric type.
-0.54
First quartile of skewness among attributes of the numeric type.
0.31
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.32
First quartile of standard deviation of attributes of the numeric type.

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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