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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4828

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4828

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 by unknown
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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: CHEMBL4828 (TID: 10309), and it has 133 rows and 59 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.

61 features

pXC50 (target)numeric117 unique values
0 missing
X3Anumeric37 unique values
0 missing
Uinumeric13 unique values
0 missing
CATS2D_07_DAnumeric2 unique values
0 missing
H.053numeric4 unique values
0 missing
C.006numeric4 unique values
0 missing
Eta_alpha_Anumeric27 unique values
0 missing
nCbHnumeric8 unique values
0 missing
BIC2numeric79 unique values
0 missing
NssOnumeric3 unique values
0 missing
O.060numeric3 unique values
0 missing
GGI4numeric57 unique values
0 missing
Minumeric27 unique values
0 missing
Hynumeric50 unique values
0 missing
nR10numeric3 unique values
0 missing
MPC08numeric54 unique values
0 missing
P_VSA_s_4numeric37 unique values
0 missing
P_VSA_LogP_1numeric17 unique values
0 missing
CATS2D_01_LLnumeric16 unique values
0 missing
nBnznumeric5 unique values
0 missing
P_VSA_MR_6numeric37 unique values
0 missing
SpMax2_Bh.v.numeric56 unique values
0 missing
Eig03_EA.dm.numeric10 unique values
0 missing
SpMAD_AEA.ed.numeric55 unique values
0 missing
MPC07numeric55 unique values
0 missing
CATS2D_08_DAnumeric2 unique values
0 missing
P_VSA_m_2numeric72 unique values
0 missing
CATS2D_02_LLnumeric21 unique values
0 missing
P_VSA_LogP_5numeric24 unique values
0 missing
MPC09numeric55 unique values
0 missing
SpMAD_EA.bo.numeric73 unique values
0 missing
GATS1pnumeric69 unique values
0 missing
ARRnumeric28 unique values
0 missing
C.numeric50 unique values
0 missing
C.024numeric9 unique values
0 missing
CATS2D_03_AAnumeric2 unique values
0 missing
Eta_betaP_Anumeric47 unique values
0 missing
JGI6numeric20 unique values
0 missing
Mpnumeric44 unique values
0 missing
NaaCHnumeric9 unique values
0 missing
PW5numeric34 unique values
0 missing
SaaCHnumeric95 unique values
0 missing
CATS2D_05_AAnumeric3 unique values
0 missing
Eta_beta_Anumeric65 unique values
0 missing
PCRnumeric63 unique values
0 missing
SssOnumeric39 unique values
0 missing
molecule_id (row identifier)nominal133 unique values
0 missing
Eta_betaPnumeric21 unique values
0 missing
JGI4numeric37 unique values
0 missing
JGI7numeric20 unique values
0 missing
MATS2pnumeric69 unique values
0 missing
MATS2vnumeric65 unique values
0 missing
nABnumeric7 unique values
0 missing
nArORnumeric3 unique values
0 missing
nBMnumeric13 unique values
0 missing
nCarnumeric7 unique values
0 missing
nCsp2numeric13 unique values
0 missing
PCDnumeric80 unique values
0 missing
RCInumeric10 unique values
0 missing
SpMax2_Bh.m.numeric55 unique values
0 missing
Ucnumeric13 unique values
0 missing

62 properties

133
Number of instances (rows) of the dataset.
61
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.
60
Number of numeric attributes.
1
Number of nominal attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
98.36
Percentage of numeric attributes.
1.64
Percentage of nominal attributes.
First quartile of entropy among attributes.
-0.72
First quartile of kurtosis among attributes of the numeric type.
0.48
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.13
First quartile of skewness among attributes of the numeric type.
0.1
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
-0.47
Second quartile (Median) of kurtosis among attributes of the numeric type.
1.41
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.54
Second quartile (Median) of skewness among attributes of the numeric type.
0.52
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
0.08
Third quartile of kurtosis among attributes of the numeric type.
8.81
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
0.85
Third quartile of skewness among attributes of the numeric type.
4.1
Third quartile of standard deviation of attributes of the numeric type.
0.19
Average class difference between consecutive instances.
10.38
Mean of means among attributes of the numeric type.
Entropy of the target attribute values.
0.46
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
3.61
Maximum kurtosis among attributes of the numeric type.
136.35
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
1.79
Maximum skewness among attributes of the numeric type.
33.12
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
-0.17
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Average number of distinct values among the attributes of the nominal type.
0.44
Mean skewness among attributes of the numeric type.
3.31
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-1.69
Minimum kurtosis among attributes of the numeric type.
-0.68
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
-0.72
Minimum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.

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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