Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2501

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2501

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: CHEMBL2501 (TID: 10402), and it has 65 rows and 123 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.

125 features

pXC50 (target)numeric38 unique values
0 missing
molecule_id (row identifier)nominal65 unique values
0 missing
CATS2D_05_DLnumeric17 unique values
0 missing
CATS2D_06_DLnumeric16 unique values
0 missing
CATS2D_09_LLnumeric19 unique values
0 missing
CIC1numeric49 unique values
0 missing
P_VSA_LogP_2numeric39 unique values
0 missing
BIC1numeric45 unique values
0 missing
ATSC7vnumeric59 unique values
0 missing
SpMax5_Bh.i.numeric42 unique values
0 missing
SIC1numeric46 unique values
0 missing
CIC2numeric54 unique values
0 missing
ATS7enumeric57 unique values
0 missing
ATS7inumeric56 unique values
0 missing
ATSC3mnumeric57 unique values
0 missing
ATSC4mnumeric59 unique values
0 missing
Eig07_EA.dm.numeric12 unique values
0 missing
Eta_C_Anumeric57 unique values
0 missing
nCsp3numeric24 unique values
0 missing
SpMAD_EA.bo.numeric48 unique values
0 missing
SpMin6_Bh.e.numeric42 unique values
0 missing
SpMin6_Bh.i.numeric44 unique values
0 missing
SpMin6_Bh.m.numeric38 unique values
0 missing
SpMin6_Bh.s.numeric40 unique values
0 missing
SpMin7_Bh.e.numeric42 unique values
0 missing
SpMin7_Bh.m.numeric45 unique values
0 missing
SpMin7_Bh.p.numeric49 unique values
0 missing
SpMin7_Bh.s.numeric38 unique values
0 missing
SpMin7_Bh.v.numeric48 unique values
0 missing
SssNHnumeric59 unique values
0 missing
CATS2D_07_DLnumeric13 unique values
0 missing
ATS3enumeric53 unique values
0 missing
ATS3pnumeric57 unique values
0 missing
ATS3vnumeric57 unique values
0 missing
ATS4enumeric56 unique values
0 missing
ATS4inumeric57 unique values
0 missing
ATS4pnumeric59 unique values
0 missing
ATS4vnumeric57 unique values
0 missing
ATS5enumeric59 unique values
0 missing
ATS5inumeric58 unique values
0 missing
ATS5snumeric58 unique values
0 missing
ATS5vnumeric57 unique values
0 missing
ATS6enumeric58 unique values
0 missing
ATSC3inumeric55 unique values
0 missing
ATSC3pnumeric57 unique values
0 missing
ATSC4inumeric59 unique values
0 missing
ATSC4pnumeric59 unique values
0 missing
ATSC4vnumeric59 unique values
0 missing
ATSC5inumeric59 unique values
0 missing
ATSC5mnumeric59 unique values
0 missing
ATSC5vnumeric59 unique values
0 missing
ATSC6inumeric58 unique values
0 missing
ATSC6pnumeric59 unique values
0 missing
Chi0_EA.dm.numeric49 unique values
0 missing
Chi1_EA.dm.numeric52 unique values
0 missing
SpMax7_Bh.e.numeric44 unique values
0 missing
SpMax7_Bh.i.numeric45 unique values
0 missing
SpMin4_Bh.s.numeric37 unique values
0 missing
ATSC7pnumeric59 unique values
0 missing
DLS_05numeric3 unique values
0 missing
SpMin5_Bh.m.numeric37 unique values
0 missing
SpMin7_Bh.i.numeric44 unique values
0 missing
SpMin8_Bh.p.numeric51 unique values
0 missing
SsssCHnumeric36 unique values
0 missing
PCRnumeric54 unique values
0 missing
AMRnumeric55 unique values
0 missing
ATS1enumeric50 unique values
0 missing
ATS1inumeric50 unique values
0 missing
ATS1pnumeric48 unique values
0 missing
ATS2enumeric49 unique values
0 missing
ATS2inumeric48 unique values
0 missing
ATS2pnumeric52 unique values
0 missing
ATS3inumeric56 unique values
0 missing
ATS4mnumeric56 unique values
0 missing
ATS5pnumeric58 unique values
0 missing
ATS6inumeric58 unique values
0 missing
ATS6pnumeric56 unique values
0 missing
ATS6vnumeric57 unique values
0 missing
ATS8enumeric58 unique values
0 missing
ATS8inumeric58 unique values
0 missing
ATSC1inumeric50 unique values
0 missing
ATSC1mnumeric50 unique values
0 missing
ATSC1pnumeric49 unique values
0 missing
ATSC1vnumeric50 unique values
0 missing
ATSC2inumeric51 unique values
0 missing
ATSC2mnumeric52 unique values
0 missing
ATSC2vnumeric52 unique values
0 missing
ATSC3vnumeric57 unique values
0 missing
ATSC6mnumeric59 unique values
0 missing
ATSC6vnumeric58 unique values
0 missing
ATSC7inumeric58 unique values
0 missing
ATSC7mnumeric59 unique values
0 missing
ATSC8mnumeric59 unique values
0 missing
BACnumeric27 unique values
0 missing
Chi1_EA.bo.numeric54 unique values
0 missing
CIC0numeric48 unique values
0 missing
DBInumeric33 unique values
0 missing
D.Dtr05numeric43 unique values
0 missing
Eig06_AEA.ri.numeric40 unique values
0 missing
Eig08_EAnumeric40 unique values
0 missing
Eig11_EA.ri.numeric46 unique values
0 missing
Eta_Cnumeric59 unique values
0 missing
Eta_epsinumeric46 unique values
0 missing
GATS1inumeric46 unique values
0 missing
GATS1vnumeric44 unique values
0 missing
GGI4numeric45 unique values
0 missing
H.047numeric21 unique values
0 missing
IACnumeric48 unique values
0 missing
ISIZnumeric39 unique values
0 missing
MATS1inumeric46 unique values
0 missing
Mvnumeric36 unique values
0 missing
nATnumeric39 unique values
0 missing
nBTnumeric40 unique values
0 missing
nHnumeric30 unique values
0 missing
nNnumeric11 unique values
0 missing
NsssNnumeric5 unique values
0 missing
ON0numeric39 unique values
0 missing
ON0Vnumeric49 unique values
0 missing
ON1Vnumeric53 unique values
0 missing
PHInumeric49 unique values
0 missing
P_VSA_e_1numeric29 unique values
0 missing
P_VSA_i_3numeric42 unique values
0 missing
P_VSA_LogP_7numeric29 unique values
0 missing
P_VSA_m_1numeric29 unique values
0 missing
P_VSA_MR_1numeric23 unique values
0 missing

62 properties

65
Number of instances (rows) of the dataset.
125
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.
124
Number of numeric attributes.
1
Number of nominal attributes.
632.56
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.
-0.7
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.
99.2
Percentage of numeric attributes.
25.12
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.46
Minimum skewness among attributes of the numeric type.
0.8
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
1.21
Maximum skewness among attributes of the numeric type.
0.03
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.75
Third quartile of skewness among attributes of the numeric type.
413.06
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.96
First quartile of kurtosis among attributes of the numeric type.
13.74
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.
2.33
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.76
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.
42.71
Mean of means among attributes of the numeric type.
-0.09
First quartile of skewness among attributes of the numeric type.
-0.34
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.51
First quartile of standard deviation of attributes of the numeric type.
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.
1.92
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.87
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.
0.25
Mean skewness among attributes of the numeric type.
5.37
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
27.1
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.
0.3
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.89
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
1
Second quartile (Median) of standard deviation of attributes of the numeric type.
2
Maximum kurtosis among attributes of the numeric type.
-3.31
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of 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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