Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3071

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3071

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: CHEMBL3071 (TID: 11104), and it has 29 rows and 119 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.

121 features

pXC50 (target)numeric20 unique values
0 missing
molecule_id (row identifier)nominal29 unique values
0 missing
X3Avnumeric19 unique values
0 missing
X4Avnumeric16 unique values
0 missing
GATS7snumeric27 unique values
0 missing
JGI2numeric18 unique values
0 missing
CATS2D_07_DAnumeric4 unique values
0 missing
D.Dtr10numeric18 unique values
0 missing
D.Dtr12numeric9 unique values
0 missing
GGI6numeric24 unique values
0 missing
MATS8mnumeric25 unique values
0 missing
NaasCnumeric7 unique values
0 missing
nCb.numeric9 unique values
0 missing
piPC09numeric26 unique values
0 missing
P_VSA_e_5numeric16 unique values
0 missing
P_VSA_m_3numeric17 unique values
0 missing
P_VSA_MR_2numeric22 unique values
0 missing
SpMin1_Bh.p.numeric20 unique values
0 missing
SsOHnumeric13 unique values
0 missing
ATSC8snumeric27 unique values
0 missing
GGI4numeric21 unique values
0 missing
MATS7snumeric25 unique values
0 missing
GATS7inumeric26 unique values
0 missing
GATS7pnumeric24 unique values
0 missing
GATS7vnumeric27 unique values
0 missing
MATS7inumeric27 unique values
0 missing
MATS7pnumeric25 unique values
0 missing
MATS7vnumeric27 unique values
0 missing
IVDEnumeric24 unique values
0 missing
O.numeric22 unique values
0 missing
D.Dtr11numeric5 unique values
0 missing
GATS4inumeric27 unique values
0 missing
nR11numeric2 unique values
0 missing
PW5numeric21 unique values
0 missing
SpMAD_AEA.bo.numeric25 unique values
0 missing
SpMAD_EA.ri.numeric26 unique values
0 missing
MATS7enumeric25 unique values
0 missing
SpMAD_AEA.ed.numeric24 unique values
0 missing
Eta_sh_ynumeric26 unique values
0 missing
Eig02_AEA.bo.numeric21 unique values
0 missing
GATS7enumeric27 unique values
0 missing
GATS8mnumeric27 unique values
0 missing
PW4numeric23 unique values
0 missing
DELSnumeric27 unique values
0 missing
Eta_sh_pnumeric25 unique values
0 missing
GATS2pnumeric26 unique values
0 missing
GATS2vnumeric27 unique values
0 missing
RBFnumeric25 unique values
0 missing
SpMAD_AEA.ri.numeric25 unique values
0 missing
PHInumeric27 unique values
0 missing
GATS2enumeric26 unique values
0 missing
ATSC3snumeric27 unique values
0 missing
CATS2D_06_AAnumeric4 unique values
0 missing
TPSA.Tot.numeric19 unique values
0 missing
ATSC1snumeric27 unique values
0 missing
MATS1enumeric25 unique values
0 missing
ATSC6snumeric27 unique values
0 missing
GATS4pnumeric26 unique values
0 missing
AACnumeric25 unique values
0 missing
AECCnumeric26 unique values
0 missing
ALOGPnumeric27 unique values
0 missing
ALOGP2numeric27 unique values
0 missing
AMRnumeric27 unique values
0 missing
AMWnumeric26 unique values
0 missing
ARRnumeric21 unique values
0 missing
ATS1enumeric26 unique values
0 missing
ATS1inumeric26 unique values
0 missing
ATS1mnumeric27 unique values
0 missing
ATS1pnumeric27 unique values
0 missing
ATS1snumeric27 unique values
0 missing
ATS1vnumeric26 unique values
0 missing
ATS2enumeric27 unique values
0 missing
ATS2inumeric27 unique values
0 missing
ATS2mnumeric26 unique values
0 missing
ATS2pnumeric27 unique values
0 missing
ATS2snumeric27 unique values
0 missing
ATS2vnumeric27 unique values
0 missing
ATS3enumeric27 unique values
0 missing
ATS3inumeric27 unique values
0 missing
ATS3mnumeric25 unique values
0 missing
ATS3pnumeric27 unique values
0 missing
ATS3snumeric27 unique values
0 missing
ATS3vnumeric26 unique values
0 missing
ATS4enumeric27 unique values
0 missing
ATS4inumeric26 unique values
0 missing
ATS4mnumeric27 unique values
0 missing
ATS4pnumeric26 unique values
0 missing
ATS4snumeric27 unique values
0 missing
ATS4vnumeric27 unique values
0 missing
ATS5enumeric27 unique values
0 missing
ATS5inumeric26 unique values
0 missing
ATS5mnumeric27 unique values
0 missing
ATS5pnumeric27 unique values
0 missing
ATS5snumeric27 unique values
0 missing
ATS5vnumeric27 unique values
0 missing
ATS6enumeric27 unique values
0 missing
ATS6inumeric26 unique values
0 missing
ATS6mnumeric26 unique values
0 missing
ATS6pnumeric27 unique values
0 missing
ATS6snumeric27 unique values
0 missing
ATS6vnumeric27 unique values
0 missing
ATS7enumeric25 unique values
0 missing
ATS7inumeric26 unique values
0 missing
ATS7mnumeric27 unique values
0 missing
ATS7pnumeric27 unique values
0 missing
ATS7snumeric26 unique values
0 missing
ATS7vnumeric27 unique values
0 missing
ATS8enumeric27 unique values
0 missing
ATS8inumeric27 unique values
0 missing
ATS8mnumeric27 unique values
0 missing
ATS8pnumeric27 unique values
0 missing
ATS8snumeric27 unique values
0 missing
ATS8vnumeric27 unique values
0 missing
ATSC1enumeric22 unique values
0 missing
ATSC1inumeric27 unique values
0 missing
ATSC1mnumeric27 unique values
0 missing
ATSC1pnumeric26 unique values
0 missing
ATSC1vnumeric27 unique values
0 missing
ATSC2enumeric24 unique values
0 missing
ATSC2inumeric27 unique values
0 missing
ATSC2mnumeric27 unique values
0 missing

62 properties

29
Number of instances (rows) of the dataset.
121
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.
120
Number of numeric attributes.
1
Number of nominal attributes.
0
Percentage of binary attributes.
0.28
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.53
Minimum kurtosis among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
9.4
Maximum kurtosis among attributes of the numeric type.
-0.07
Minimum of means among attributes of the numeric type.
0
Percentage of missing values.
2.97
Third quartile of kurtosis among attributes of the numeric type.
185.76
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
99.17
Percentage of numeric attributes.
5.23
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.
0.83
Percentage of nominal 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.
-1.34
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.04
Third quartile of skewness among attributes of the numeric type.
3.04
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
-0.09
First quartile of kurtosis among attributes of the numeric type.
0.71
Third quartile of standard deviation of attributes of the numeric type.
292.71
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
1.01
First quartile of means 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.
First quartile of mutual information between the nominal attributes and the target attribute.
1.81
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
-0.16
First quartile of skewness among attributes of the numeric type.
9.83
Mean of means among attributes of the numeric type.
0.12
First quartile of standard deviation of attributes of the numeric type.
-0.07
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among 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.
1.9
Second quartile (Median) of kurtosis among attributes of the numeric type.
4.17
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
3.98
Second quartile (Median) of means 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.
0.48
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
6.54
Mean standard deviation of attributes of the numeric type.
0.44
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among 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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