Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5331

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5331

deactivated ARFF Publicly available Visibility: public Uploaded 16-07-2016 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: CHEMBL5331 (TID: 100948), and it has 139 rows and 66 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.

68 features

pXC50 (target)numeric83 unique values
0 missing
molecule_id (row identifier)nominal139 unique values
0 missing
SpMin1_Bh.s.numeric90 unique values
0 missing
SIC0numeric89 unique values
0 missing
nCrsnumeric9 unique values
0 missing
CATS2D_02_PLnumeric3 unique values
0 missing
C.002numeric9 unique values
0 missing
P_VSA_LogP_2numeric88 unique values
0 missing
SpMin1_Bh.m.numeric78 unique values
0 missing
nCsnumeric11 unique values
0 missing
BIC0numeric75 unique values
0 missing
SpMin6_Bh.s.numeric104 unique values
0 missing
X1MulPernumeric136 unique values
0 missing
X1Pernumeric137 unique values
0 missing
GATS2vnumeric114 unique values
0 missing
CATS2D_03_PLnumeric3 unique values
0 missing
ATSC2inumeric127 unique values
0 missing
SpMin5_Bh.p.numeric112 unique values
0 missing
SpMax8_Bh.e.numeric94 unique values
0 missing
X1Kupnumeric132 unique values
0 missing
N.066numeric2 unique values
0 missing
nRNH2numeric2 unique values
0 missing
SpMax7_Bh.v.numeric100 unique values
0 missing
ATSC3vnumeric134 unique values
0 missing
CATS2D_04_ALnumeric16 unique values
0 missing
SpMin7_Bh.s.numeric97 unique values
0 missing
CATS2D_08_APnumeric3 unique values
0 missing
ATSC3inumeric128 unique values
0 missing
SpMin3_Bh.e.numeric116 unique values
0 missing
CATS2D_06_APnumeric3 unique values
0 missing
ATSC1inumeric117 unique values
0 missing
ATS3enumeric129 unique values
0 missing
GATS2pnumeric114 unique values
0 missing
CATS2D_07_DLnumeric11 unique values
0 missing
ATS7enumeric127 unique values
0 missing
SssCH2numeric114 unique values
0 missing
TPCnumeric118 unique values
0 missing
SpMin5_Bh.s.numeric101 unique values
0 missing
ATS1enumeric122 unique values
0 missing
nBTnumeric49 unique values
0 missing
ATS1inumeric120 unique values
0 missing
Wapnumeric122 unique values
0 missing
ATS2enumeric119 unique values
0 missing
SpMax8_Bh.v.numeric94 unique values
0 missing
Psi_i_1numeric133 unique values
0 missing
ATS2vnumeric128 unique values
0 missing
AACnumeric117 unique values
0 missing
IC0numeric117 unique values
0 missing
TIC3numeric131 unique values
0 missing
Chi1_EA.bo.numeric127 unique values
0 missing
ATS2pnumeric125 unique values
0 missing
ATS3vnumeric129 unique values
0 missing
TIC4numeric130 unique values
0 missing
TIC5numeric128 unique values
0 missing
ATSC8inumeric130 unique values
0 missing
ATSC6inumeric129 unique values
0 missing
ATSC7inumeric131 unique values
0 missing
TIC2numeric137 unique values
0 missing
Eig05_AEA.ed.numeric115 unique values
0 missing
P_VSA_MR_2numeric78 unique values
0 missing
SpMax7_Bh.e.numeric103 unique values
0 missing
Eta_Lnumeric133 unique values
0 missing
ATSC4inumeric130 unique values
0 missing
SpMax6_Bh.e.numeric105 unique values
0 missing
Eig07_AEA.ri.numeric122 unique values
0 missing
Eig07_AEA.ed.numeric111 unique values
0 missing
SpDiam_AEA.bo.numeric96 unique values
0 missing
SpMax8_Bh.i.numeric94 unique values
0 missing

62 properties

139
Number of instances (rows) of the dataset.
68
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.
67
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.
0.49
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.02
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.
0.36
Mean skewness among attributes of the numeric type.
3.11
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
2483.81
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.
0.24
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.26
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.
43.19
Maximum kurtosis among attributes of the numeric type.
0.23
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
67138.71
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.
0.55
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.
98.53
Percentage of numeric attributes.
7.37
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.63
Minimum skewness among attributes of the numeric type.
1.47
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
6.34
Maximum skewness among attributes of the numeric type.
0.04
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.74
Third quartile of skewness among attributes of the numeric type.
165991.33
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.31
First quartile of kurtosis among attributes of the numeric type.
2.16
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.
1.47
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
1.01
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.
1024.82
Mean of means among attributes of the numeric type.
-0.24
First quartile of skewness among attributes of the numeric type.
0.11
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.18
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