Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5226

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5226

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: CHEMBL5226 (TID: 101124), and it has 10 rows and 163 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.

165 features

pXC50 (target)numeric7 unique values
0 missing
molecule_id (row identifier)nominal10 unique values
0 missing
ATS6mnumeric10 unique values
0 missing
ATS7mnumeric10 unique values
0 missing
ATS7vnumeric10 unique values
0 missing
ATSC8enumeric10 unique values
0 missing
D.Dtr05numeric10 unique values
0 missing
D.Dtr09numeric10 unique values
0 missing
Eig03_AEA.dm.numeric9 unique values
0 missing
Eig03_AEA.ri.numeric10 unique values
0 missing
Eig03_EAnumeric10 unique values
0 missing
Eig03_EA.ri.numeric10 unique values
0 missing
Eig04_AEA.bo.numeric8 unique values
0 missing
Eig04_AEA.dm.numeric9 unique values
0 missing
Eig04_AEA.ri.numeric9 unique values
0 missing
Eig04_EAnumeric8 unique values
0 missing
Eig04_EA.ed.numeric9 unique values
0 missing
Eig04_EA.ri.numeric10 unique values
0 missing
Eig05_AEA.bo.numeric10 unique values
0 missing
Eig05_AEA.ed.numeric10 unique values
0 missing
Eig05_EA.bo.numeric8 unique values
0 missing
Eig05_EA.ed.numeric10 unique values
0 missing
Eig06_AEA.bo.numeric9 unique values
0 missing
Eig06_AEA.ed.numeric7 unique values
0 missing
Eig06_EA.bo.numeric10 unique values
0 missing
Eig06_EA.ed.numeric9 unique values
0 missing
Eig07_EA.bo.numeric10 unique values
0 missing
Eig10_AEA.bo.numeric9 unique values
0 missing
Eig10_AEA.dm.numeric10 unique values
0 missing
Eig10_AEA.ri.numeric9 unique values
0 missing
Eig10_EAnumeric10 unique values
0 missing
Eig10_EA.bo.numeric10 unique values
0 missing
Eig10_EA.ed.numeric10 unique values
0 missing
Eig10_EA.ri.numeric10 unique values
0 missing
Eig11_AEA.bo.numeric8 unique values
0 missing
Eig11_EAnumeric10 unique values
0 missing
Eig11_EA.ri.numeric10 unique values
0 missing
Eig12_AEA.bo.numeric8 unique values
0 missing
Eig13_AEA.bo.numeric9 unique values
0 missing
Eta_B_Anumeric9 unique values
0 missing
Eta_Lnumeric10 unique values
0 missing
GATS2snumeric10 unique values
0 missing
GATS3mnumeric10 unique values
0 missing
GATS3pnumeric10 unique values
0 missing
GATS3vnumeric10 unique values
0 missing
GATS5mnumeric9 unique values
0 missing
GATS5snumeric10 unique values
0 missing
GATS6vnumeric10 unique values
0 missing
GATS7mnumeric8 unique values
0 missing
GATS8enumeric10 unique values
0 missing
GATS8snumeric10 unique values
0 missing
GGI1numeric4 unique values
0 missing
IC4numeric9 unique values
0 missing
IC5numeric9 unique values
0 missing
JGI1numeric8 unique values
0 missing
JGI2numeric6 unique values
0 missing
JGI3numeric9 unique values
0 missing
JGI4numeric7 unique values
0 missing
JGTnumeric10 unique values
0 missing
MATS3mnumeric9 unique values
0 missing
MATS3pnumeric9 unique values
0 missing
MATS3vnumeric10 unique values
0 missing
MATS5mnumeric10 unique values
0 missing
MATS5snumeric10 unique values
0 missing
nCtnumeric2 unique values
0 missing
Psi_e_0numeric9 unique values
0 missing
PW2numeric9 unique values
0 missing
PW4numeric9 unique values
0 missing
SaaaCnumeric10 unique values
0 missing
SM04_AEA.dm.numeric10 unique values
0 missing
SM05_AEA.dm.numeric10 unique values
0 missing
SM05_AEA.ri.numeric10 unique values
0 missing
SM11_AEA.bo.numeric10 unique values
0 missing
SM12_AEA.bo.numeric8 unique values
0 missing
SM13_AEA.dm.numeric9 unique values
0 missing
SM14_AEA.dm.numeric10 unique values
0 missing
SM15_AEA.dm.numeric9 unique values
0 missing
SM15_AEA.ri.numeric8 unique values
0 missing
SpDiam_AEA.ed.numeric7 unique values
0 missing
SpMAD_AEA.bo.numeric10 unique values
0 missing
SpMAD_AEA.ri.numeric9 unique values
0 missing
SpMAD_EAnumeric10 unique values
0 missing
SpMAD_EA.bo.numeric10 unique values
0 missing
SpMax2_Bh.m.numeric10 unique values
0 missing
SpMax2_Bh.v.numeric10 unique values
0 missing
SpMax3_Bh.s.numeric10 unique values
0 missing
SpMax4_Bh.s.numeric9 unique values
0 missing
SpMax6_Bh.e.numeric10 unique values
0 missing
SpMax6_Bh.i.numeric9 unique values
0 missing
SpMax6_Bh.m.numeric10 unique values
0 missing
SpMax6_Bh.p.numeric10 unique values
0 missing
SpMax6_Bh.v.numeric10 unique values
0 missing
SpMax7_Bh.m.numeric10 unique values
0 missing
SpMin1_Bh.s.numeric9 unique values
0 missing
SpMin4_Bh.m.numeric9 unique values
0 missing
SpMin4_Bh.s.numeric10 unique values
0 missing
SpMin6_Bh.p.numeric10 unique values
0 missing
SpMin7_Bh.s.numeric6 unique values
0 missing
TIC3numeric10 unique values
0 missing
TIC4numeric10 unique values
0 missing
TIC5numeric10 unique values
0 missing
X1Anumeric9 unique values
0 missing
X1Madnumeric10 unique values
0 missing
X3Anumeric8 unique values
0 missing
AACnumeric7 unique values
0 missing
AECCnumeric9 unique values
0 missing
ALOGPnumeric10 unique values
0 missing
ALOGP2numeric10 unique values
0 missing
AMRnumeric10 unique values
0 missing
AMWnumeric7 unique values
0 missing
ARRnumeric6 unique values
0 missing
ATS1enumeric8 unique values
0 missing
ATS1inumeric8 unique values
0 missing
ATS1mnumeric8 unique values
0 missing
ATS1pnumeric8 unique values
0 missing
ATS1snumeric10 unique values
0 missing
ATS1vnumeric8 unique values
0 missing
ATS2enumeric8 unique values
0 missing
ATS2inumeric8 unique values
0 missing
ATS2mnumeric9 unique values
0 missing
ATS2pnumeric9 unique values
0 missing
ATS2snumeric10 unique values
0 missing
ATS2vnumeric9 unique values
0 missing
ATS3enumeric9 unique values
0 missing
ATS3inumeric9 unique values
0 missing
ATS3mnumeric10 unique values
0 missing
ATS3pnumeric10 unique values
0 missing
ATS3snumeric10 unique values
0 missing
ATS3vnumeric10 unique values
0 missing
ATS4enumeric10 unique values
0 missing
ATS4inumeric10 unique values
0 missing
ATS4mnumeric10 unique values
0 missing
ATS4pnumeric10 unique values
0 missing
ATS4snumeric10 unique values
0 missing
ATS4vnumeric10 unique values
0 missing
ATS5enumeric10 unique values
0 missing
ATS5inumeric10 unique values
0 missing
ATS5mnumeric10 unique values
0 missing
ATS5pnumeric10 unique values
0 missing
ATS5snumeric10 unique values
0 missing
ATS5vnumeric10 unique values
0 missing
ATS6enumeric10 unique values
0 missing
ATS6inumeric10 unique values
0 missing
ATS6pnumeric10 unique values
0 missing
ATS6snumeric10 unique values
0 missing
ATS6vnumeric10 unique values
0 missing
ATS7enumeric10 unique values
0 missing
ATS7inumeric10 unique values
0 missing
ATS7pnumeric10 unique values
0 missing
ATS7snumeric10 unique values
0 missing
ATS8enumeric10 unique values
0 missing
ATS8inumeric10 unique values
0 missing
ATS8mnumeric10 unique values
0 missing
ATS8pnumeric10 unique values
0 missing
ATS8snumeric10 unique values
0 missing
ATS8vnumeric10 unique values
0 missing
ATSC1enumeric8 unique values
0 missing
ATSC1inumeric8 unique values
0 missing
ATSC1mnumeric8 unique values
0 missing
ATSC1pnumeric8 unique values
0 missing
ATSC1snumeric10 unique values
0 missing
ATSC1vnumeric8 unique values
0 missing
ATSC2enumeric8 unique values
0 missing
ATSC2inumeric9 unique values
0 missing
ATSC2mnumeric9 unique values
0 missing

62 properties

10
Number of instances (rows) of the dataset.
165
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.
164
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.
16.5
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
4.08
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.
1.45
Mean skewness among attributes of the numeric type.
3.15
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
1.62
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.
1.75
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-2.28
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.21
Second quartile (Median) of standard deviation of attributes of the numeric type.
9.98
Maximum kurtosis among attributes of the numeric type.
-0.18
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
192.61
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.
7.32
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.
99.39
Percentage of numeric attributes.
4.4
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.09
Minimum skewness among attributes of the numeric type.
0.61
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
3.16
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
2.52
Third quartile of skewness among attributes of the numeric type.
47.86
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.6
First quartile of kurtosis among attributes of the numeric type.
0.44
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.
0.95
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
3.86
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.
7.6
Mean of means among attributes of the numeric type.
0.63
First quartile of skewness among attributes of the numeric type.
0.61
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.13
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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