Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5493

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5493

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 by Noureddin Sadawi
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target ChEMBL_ID: CHEMBL5493 (TID: 100867), and it has 85 rows and 124 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.

126 features

pXC50 (target)numeric49 unique values
0 missing
molecule_id (row identifier)nominal85 unique values
0 missing
DELSnumeric83 unique values
0 missing
ATS7mnumeric77 unique values
0 missing
Eig01_EA.dm.numeric19 unique values
0 missing
IC2numeric61 unique values
0 missing
SM04_EA.dm.numeric28 unique values
0 missing
SM05_EA.dm.numeric14 unique values
0 missing
SM06_EA.dm.numeric27 unique values
0 missing
SM07_EA.dm.numeric15 unique values
0 missing
SM08_EA.dm.numeric24 unique values
0 missing
SM09_EA.dm.numeric13 unique values
0 missing
SM10_EA.dm.numeric24 unique values
0 missing
SM11_EA.dm.numeric14 unique values
0 missing
SM12_EA.dm.numeric23 unique values
0 missing
SM13_EA.dm.numeric13 unique values
0 missing
SM14_EA.dm.numeric21 unique values
0 missing
SM15_EA.dm.numeric13 unique values
0 missing
SpDiam_EA.dm.numeric20 unique values
0 missing
SpMax_EA.dm.numeric19 unique values
0 missing
ZM1Kupnumeric67 unique values
0 missing
ZM2Kupnumeric81 unique values
0 missing
ZM2MulPernumeric79 unique values
0 missing
ZM2Pernumeric79 unique values
0 missing
ZM2Vnumeric60 unique values
0 missing
Eig11_EA.ri.numeric70 unique values
0 missing
AACnumeric60 unique values
0 missing
AECCnumeric41 unique values
0 missing
ALOGPnumeric82 unique values
0 missing
ALOGP2numeric82 unique values
0 missing
AMRnumeric82 unique values
0 missing
AMWnumeric65 unique values
0 missing
ARRnumeric29 unique values
0 missing
ATS1enumeric67 unique values
0 missing
ATS1inumeric70 unique values
0 missing
ATS1mnumeric67 unique values
0 missing
ATS1pnumeric67 unique values
0 missing
ATS1snumeric72 unique values
0 missing
ATS1vnumeric67 unique values
0 missing
ATS2enumeric70 unique values
0 missing
ATS2inumeric75 unique values
0 missing
ATS2mnumeric75 unique values
0 missing
ATS2pnumeric75 unique values
0 missing
ATS2snumeric77 unique values
0 missing
ATS2vnumeric74 unique values
0 missing
ATS3enumeric75 unique values
0 missing
ATS3inumeric76 unique values
0 missing
ATS3mnumeric75 unique values
0 missing
ATS3pnumeric76 unique values
0 missing
ATS3snumeric75 unique values
0 missing
ATS3vnumeric74 unique values
0 missing
ATS4enumeric78 unique values
0 missing
ATS4inumeric75 unique values
0 missing
ATS4mnumeric77 unique values
0 missing
ATS4pnumeric77 unique values
0 missing
ATS4snumeric73 unique values
0 missing
ATS4vnumeric80 unique values
0 missing
ATS5enumeric77 unique values
0 missing
ATS5inumeric75 unique values
0 missing
ATS5mnumeric74 unique values
0 missing
ATS5pnumeric79 unique values
0 missing
ATS5snumeric75 unique values
0 missing
ATS5vnumeric74 unique values
0 missing
ATS6enumeric76 unique values
0 missing
ATS6inumeric73 unique values
0 missing
ATS6mnumeric77 unique values
0 missing
ATS6pnumeric73 unique values
0 missing
ATS6snumeric72 unique values
0 missing
ATS6vnumeric76 unique values
0 missing
ATS7enumeric77 unique values
0 missing
ATS7inumeric74 unique values
0 missing
ATS7pnumeric77 unique values
0 missing
ATS7snumeric74 unique values
0 missing
ATS7vnumeric78 unique values
0 missing
ATS8enumeric76 unique values
0 missing
ATS8inumeric72 unique values
0 missing
ATS8mnumeric77 unique values
0 missing
ATS8pnumeric75 unique values
0 missing
ATS8snumeric75 unique values
0 missing
ATS8vnumeric76 unique values
0 missing
ATSC1enumeric54 unique values
0 missing
ATSC1inumeric65 unique values
0 missing
ATSC1mnumeric71 unique values
0 missing
ATSC1pnumeric71 unique values
0 missing
ATSC1snumeric82 unique values
0 missing
ATSC1vnumeric72 unique values
0 missing
ATSC2enumeric70 unique values
0 missing
ATSC2inumeric74 unique values
0 missing
ATSC2mnumeric82 unique values
0 missing
ATSC2pnumeric82 unique values
0 missing
ATSC2snumeric82 unique values
0 missing
ATSC2vnumeric82 unique values
0 missing
ATSC3enumeric71 unique values
0 missing
ATSC3inumeric78 unique values
0 missing
ATSC3mnumeric81 unique values
0 missing
ATSC3pnumeric83 unique values
0 missing
ATSC3snumeric83 unique values
0 missing
ATSC3vnumeric81 unique values
0 missing
ATSC4enumeric76 unique values
0 missing
ATSC4inumeric78 unique values
0 missing
ATSC4mnumeric80 unique values
0 missing
ATSC4pnumeric82 unique values
0 missing
ATSC4snumeric82 unique values
0 missing
ATSC4vnumeric82 unique values
0 missing
ATSC5enumeric73 unique values
0 missing
ATSC5inumeric76 unique values
0 missing
ATSC5mnumeric79 unique values
0 missing
ATSC5pnumeric79 unique values
0 missing
ATSC5snumeric80 unique values
0 missing
ATSC5vnumeric80 unique values
0 missing
ATSC6enumeric72 unique values
0 missing
ATSC6inumeric76 unique values
0 missing
ATSC6mnumeric78 unique values
0 missing
ATSC6pnumeric78 unique values
0 missing
ATSC6snumeric79 unique values
0 missing
ATSC6vnumeric79 unique values
0 missing
ATSC7enumeric70 unique values
0 missing
ATSC7inumeric72 unique values
0 missing
ATSC7mnumeric79 unique values
0 missing
ATSC7pnumeric79 unique values
0 missing
ATSC7snumeric79 unique values
0 missing
ATSC7vnumeric79 unique values
0 missing
ATSC8enumeric72 unique values
0 missing
ATSC8inumeric76 unique values
0 missing
ATSC8mnumeric79 unique values
0 missing
ATSC8pnumeric79 unique values
0 missing

62 properties

85
Number of instances (rows) of the dataset.
126
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.
125
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.
1.48
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
3.39
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.
0.93
Mean skewness among attributes of the numeric type.
4.51
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
6.38
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.
0.73
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.57
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.42
Second quartile (Median) of standard deviation of attributes of the numeric type.
62.74
Maximum kurtosis among attributes of the numeric type.
-0.27
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
485.81
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.
5.65
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.
99.21
Percentage of numeric attributes.
8.93
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.95
Minimum skewness among attributes of the numeric type.
0.79
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
7.48
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.
1.58
Third quartile of skewness among attributes of the numeric type.
106.27
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
2.44
First quartile of kurtosis among attributes of the numeric type.
2.55
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.
3.53
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
5.93
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.
22.81
Mean of means among attributes of the numeric type.
0.08
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.
0.21
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
Define a new task