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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5263

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5263

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: CHEMBL5263 (TID: 101133), and it has 128 rows and 60 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.

62 features

pXC50 (target)numeric111 unique values
0 missing
molecule_id (row identifier)nominal128 unique values
0 missing
SsCH3numeric119 unique values
0 missing
SpMin8_Bh.e.numeric68 unique values
0 missing
AACnumeric88 unique values
0 missing
AECCnumeric70 unique values
0 missing
ALOGPnumeric114 unique values
0 missing
ALOGP2numeric116 unique values
0 missing
AMRnumeric116 unique values
0 missing
AMWnumeric93 unique values
0 missing
ARRnumeric24 unique values
0 missing
ATS1enumeric84 unique values
0 missing
ATS1inumeric81 unique values
0 missing
ATS1mnumeric95 unique values
0 missing
ATS1pnumeric91 unique values
0 missing
ATS1snumeric92 unique values
0 missing
ATS1vnumeric83 unique values
0 missing
ATS2enumeric89 unique values
0 missing
ATS2inumeric88 unique values
0 missing
ATS2mnumeric101 unique values
0 missing
ATS2pnumeric100 unique values
0 missing
ATS2snumeric103 unique values
0 missing
ATS2vnumeric99 unique values
0 missing
ATS3enumeric94 unique values
0 missing
ATS3inumeric95 unique values
0 missing
ATS3mnumeric105 unique values
0 missing
ATS3pnumeric97 unique values
0 missing
ATS3snumeric117 unique values
0 missing
ATS3vnumeric104 unique values
0 missing
ATS4enumeric103 unique values
0 missing
ATS4inumeric102 unique values
0 missing
ATS4mnumeric106 unique values
0 missing
ATS4pnumeric112 unique values
0 missing
ATS4snumeric115 unique values
0 missing
ATS4vnumeric100 unique values
0 missing
ATS5enumeric110 unique values
0 missing
ATS5inumeric112 unique values
0 missing
ATS5mnumeric107 unique values
0 missing
ATS5pnumeric103 unique values
0 missing
ATS5snumeric109 unique values
0 missing
ATS5vnumeric103 unique values
0 missing
ATS6enumeric113 unique values
0 missing
ATS6inumeric113 unique values
0 missing
ATS6mnumeric105 unique values
0 missing
ATS6pnumeric108 unique values
0 missing
ATS6snumeric110 unique values
0 missing
ATS6vnumeric107 unique values
0 missing
ATS7enumeric112 unique values
0 missing
ATS7inumeric104 unique values
0 missing
ATS7mnumeric110 unique values
0 missing
ATS7pnumeric112 unique values
0 missing
ATS7snumeric114 unique values
0 missing
ATS7vnumeric102 unique values
0 missing
ATS8enumeric109 unique values
0 missing
ATS8inumeric108 unique values
0 missing
ATS8mnumeric107 unique values
0 missing
ATS8pnumeric104 unique values
0 missing
ATS8snumeric108 unique values
0 missing
ATS8vnumeric105 unique values
0 missing
ATSC1enumeric78 unique values
0 missing
ATSC1inumeric80 unique values
0 missing
ATSC1mnumeric103 unique values
0 missing

62 properties

128
Number of instances (rows) of the dataset.
62
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.
61
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.
0.48
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.17
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.
0.08
Mean skewness among attributes of the numeric type.
4.2
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
0.46
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.
0.07
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.12
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.13
Second quartile (Median) of standard deviation of attributes of the numeric type.
4.14
Maximum kurtosis among attributes of the numeric type.
0.09
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
114.12
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.
0.41
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.
98.39
Percentage of numeric attributes.
5.24
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-0.73
Minimum skewness among attributes of the numeric type.
1.61
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
1.67
Maximum skewness among attributes of the numeric type.
0.06
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.31
Third quartile of skewness among attributes of the numeric type.
7.21
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.
0.18
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.
3.85
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0
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.
6.53
Mean of means among attributes of the numeric type.
-0.23
First quartile of skewness among attributes of the numeric type.
0.27
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.1
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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