Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4769

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4769

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: CHEMBL4769 (TID: 10108), and it has 96 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)numeric67 unique values
0 missing
molecule_id (row identifier)nominal96 unique values
0 missing
P_VSA_s_3numeric71 unique values
0 missing
DECCnumeric67 unique values
0 missing
SpMin4_Bh.s.numeric72 unique values
0 missing
SpMin6_Bh.v.numeric62 unique values
0 missing
Eta_alpha_Anumeric29 unique values
0 missing
ATS3inumeric77 unique values
0 missing
ON1Vnumeric72 unique values
0 missing
SpMin3_Bh.s.numeric76 unique values
0 missing
CIC0numeric72 unique values
0 missing
SpMax6_Bh.i.numeric53 unique values
0 missing
CIC1numeric74 unique values
0 missing
AECCnumeric69 unique values
0 missing
IDEnumeric70 unique values
0 missing
MSDnumeric70 unique values
0 missing
SpMax4_Bh.i.numeric61 unique values
0 missing
SpMax5_Bh.e.numeric55 unique values
0 missing
SpMax5_Bh.i.numeric54 unique values
0 missing
SpMax5_Bh.p.numeric59 unique values
0 missing
SpMax5_Bh.v.numeric53 unique values
0 missing
SpMin3_Bh.m.numeric76 unique values
0 missing
SpMin4_Bh.e.numeric64 unique values
0 missing
SpMin4_Bh.i.numeric64 unique values
0 missing
SpMin4_Bh.p.numeric64 unique values
0 missing
SpMin4_Bh.v.numeric66 unique values
0 missing
SpMin5_Bh.i.numeric61 unique values
0 missing
SpMin4_Bh.m.numeric70 unique values
0 missing
SpMin6_Bh.e.numeric63 unique values
0 missing
LOCnumeric59 unique values
0 missing
SpMax6_Bh.e.numeric58 unique values
0 missing
BIC0numeric59 unique values
0 missing
ICRnumeric66 unique values
0 missing
SpMin1_Bh.m.numeric61 unique values
0 missing
ATS1inumeric71 unique values
0 missing
ATS2inumeric73 unique values
0 missing
Sinumeric74 unique values
0 missing
TIC5numeric76 unique values
0 missing
RBNnumeric15 unique values
0 missing
NssCH2numeric15 unique values
0 missing
P_VSA_LogP_2numeric49 unique values
0 missing
ALOGPnumeric77 unique values
0 missing
ATSC3vnumeric79 unique values
0 missing
P_VSA_i_3numeric59 unique values
0 missing
MATS1snumeric64 unique values
0 missing
SIC1numeric65 unique values
0 missing
SpMin2_Bh.m.numeric69 unique values
0 missing
P_VSA_e_1numeric38 unique values
0 missing
SpMax6_Bh.v.numeric59 unique values
0 missing
HVcpxnumeric70 unique values
0 missing
SpMax5_Bh.m.numeric77 unique values
0 missing
Eta_Lnumeric79 unique values
0 missing
N.numeric24 unique values
0 missing
IC1numeric73 unique values
0 missing
SpMax4_Bh.v.numeric64 unique values
0 missing
ATS2enumeric72 unique values
0 missing
ISIZnumeric38 unique values
0 missing
nATnumeric38 unique values
0 missing
Senumeric74 unique values
0 missing
SpMin3_Bh.p.numeric70 unique values
0 missing
AMWnumeric74 unique values
0 missing
SpMin5_Bh.p.numeric65 unique values
0 missing
ATS3enumeric73 unique values
0 missing
SpMax7_Bh.v.numeric70 unique values
0 missing
P_VSA_MR_1numeric31 unique values
0 missing
Psi_e_Anumeric73 unique values
0 missing
Psi_i_Anumeric73 unique values
0 missing
ATS4inumeric80 unique values
0 missing
SpMin6_Bh.i.numeric57 unique values
0 missing
TIC4numeric76 unique values
0 missing
nHnumeric32 unique values
0 missing
SpMin5_Bh.s.numeric71 unique values
0 missing
BIC1numeric66 unique values
0 missing
PW2numeric46 unique values
0 missing
ATSC1vnumeric74 unique values
0 missing
SpMin7_Bh.s.numeric58 unique values
0 missing
VARnumeric56 unique values
0 missing
ATSC8vnumeric82 unique values
0 missing
ATSC4vnumeric81 unique values
0 missing
O.numeric51 unique values
0 missing
SpMin7_Bh.e.numeric51 unique values
0 missing
SpMin6_Bh.p.numeric59 unique values
0 missing
nCsp3numeric17 unique values
0 missing
SpMin5_Bh.e.numeric65 unique values
0 missing
SpMin5_Bh.v.numeric66 unique values
0 missing
SpMin2_Bh.s.numeric74 unique values
0 missing
nCsnumeric15 unique values
0 missing
SpMin2_Bh.v.numeric64 unique values
0 missing
Eta_B_Anumeric26 unique values
0 missing
S2Knumeric76 unique values
0 missing
TIC3numeric76 unique values
0 missing
PHInumeric76 unique values
0 missing
ATSC2inumeric71 unique values
0 missing
ATSC8inumeric78 unique values
0 missing
SpMin8_Bh.s.numeric53 unique values
0 missing
DLS_02numeric5 unique values
0 missing
SpMax6_Bh.p.numeric74 unique values
0 missing
ATS4enumeric76 unique values
0 missing
ATSC1pnumeric74 unique values
0 missing
Eta_Cnumeric82 unique values
0 missing
MATS1enumeric59 unique values
0 missing
nBTnumeric42 unique values
0 missing
S1Knumeric71 unique values
0 missing
SAtotnumeric77 unique values
0 missing
P_VSA_m_1numeric33 unique values
0 missing
P_VSA_p_1numeric34 unique values
0 missing
P_VSA_v_1numeric33 unique values
0 missing
H.046numeric26 unique values
0 missing
SpMax4_Bh.e.numeric64 unique values
0 missing
SpMin8_Bh.m.numeric59 unique values
0 missing
ATSC3mnumeric79 unique values
0 missing
ATS6inumeric79 unique values
0 missing
P_VSA_s_2numeric38 unique values
0 missing
ATSC2vnumeric77 unique values
0 missing
Eta_betaS_Anumeric48 unique values
0 missing
ATS5inumeric80 unique values
0 missing
ATSC1mnumeric74 unique values
0 missing
SpMin6_Bh.m.numeric69 unique values
0 missing
SpMin8_Bh.i.numeric65 unique values
0 missing
ATS1enumeric71 unique values
0 missing
CATS2D_09_NLnumeric9 unique values
0 missing
BLTA96numeric63 unique values
0 missing
BLTD48numeric64 unique values
0 missing
BLTF96numeric61 unique values
0 missing
MLOGPnumeric68 unique values
0 missing

62 properties

96
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.
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.
1.3
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.15
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.
-0.44
Mean skewness among attributes of the numeric type.
3.32
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
10.94
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.
-1.21
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.37
Second quartile (Median) of standard deviation of attributes of the numeric type.
15.9
Maximum kurtosis among attributes of the numeric type.
-2.92
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
569.22
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.
1.57
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.
10.92
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.62
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.
2.61
Maximum skewness among attributes of the numeric type.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.02
Third quartile of skewness among attributes of the numeric type.
114.12
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.26
First quartile of kurtosis among attributes of the numeric type.
3.67
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.
1.33
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
1.07
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.
36.58
Mean of means among attributes of the numeric type.
-0.99
First quartile of skewness among attributes of the numeric type.
0.17
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.23
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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