Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5652

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL5652

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: CHEMBL5652 (TID: 101271), and it has 470 rows and 129 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.

131 features

pXC50 (target)numeric294 unique values
0 missing
molecule_id (row identifier)nominal470 unique values
0 missing
S2Knumeric330 unique values
0 missing
P_VSA_MR_7numeric77 unique values
0 missing
ATS2inumeric252 unique values
0 missing
H.047numeric23 unique values
0 missing
Eig08_EA.bo.numeric239 unique values
0 missing
ATS2enumeric244 unique values
0 missing
Senumeric341 unique values
0 missing
C.005numeric4 unique values
0 missing
SM04_EA.bo.numeric267 unique values
0 missing
Eig02_EA.bo.numeric152 unique values
0 missing
SM12_AEA.ri.numeric152 unique values
0 missing
Sinumeric350 unique values
0 missing
SM05_EA.bo.numeric253 unique values
0 missing
X2solnumeric270 unique values
0 missing
PCRnumeric174 unique values
0 missing
ATS1inumeric222 unique values
0 missing
nBTnumeric34 unique values
0 missing
SM06_EA.bo.numeric288 unique values
0 missing
P_VSA_i_2numeric383 unique values
0 missing
Eig02_AEA.bo.numeric178 unique values
0 missing
P_VSA_e_3numeric97 unique values
0 missing
SpMax5_Bh.m.numeric253 unique values
0 missing
piPC02numeric126 unique values
0 missing
SM02_EA.bo.numeric126 unique values
0 missing
PHInumeric333 unique values
0 missing
SpMax2_Bh.e.numeric173 unique values
0 missing
SpMax3_Bh.m.numeric199 unique values
0 missing
ATS1mnumeric263 unique values
0 missing
SpMax2_Bh.p.numeric199 unique values
0 missing
SAtotnumeric398 unique values
0 missing
Eig07_AEA.bo.numeric256 unique values
0 missing
ATS1enumeric222 unique values
0 missing
Eig07_EA.dm.numeric12 unique values
0 missing
ATSC2mnumeric416 unique values
0 missing
CATS2D_08_AAnumeric10 unique values
0 missing
SpMin7_Bh.v.numeric124 unique values
0 missing
Eig08_AEA.bo.numeric231 unique values
0 missing
SM03_EA.bo.numeric101 unique values
0 missing
ISIZnumeric34 unique values
0 missing
nATnumeric34 unique values
0 missing
TIC3numeric343 unique values
0 missing
TIC4numeric327 unique values
0 missing
TIC5numeric327 unique values
0 missing
C.043numeric3 unique values
0 missing
Uinumeric21 unique values
0 missing
ATS8mnumeric355 unique values
0 missing
ATS8pnumeric333 unique values
0 missing
ATS8vnumeric324 unique values
0 missing
TIC1numeric404 unique values
0 missing
X0solnumeric198 unique values
0 missing
X0vnumeric377 unique values
0 missing
X1solnumeric239 unique values
0 missing
P_VSA_LogP_4numeric145 unique values
0 missing
Eig07_AEA.ed.numeric232 unique values
0 missing
Eig13_AEA.bo.numeric216 unique values
0 missing
GATS4inumeric257 unique values
0 missing
ON0Vnumeric287 unique values
0 missing
nHnumeric28 unique values
0 missing
SaaNnumeric382 unique values
0 missing
P_VSA_e_2numeric396 unique values
0 missing
piPC06numeric294 unique values
0 missing
DLS_consnumeric43 unique values
0 missing
piPC03numeric200 unique values
0 missing
P_VSA_i_4numeric148 unique values
0 missing
Eig05_EA.dm.numeric20 unique values
0 missing
Eta_betaPnumeric39 unique values
0 missing
ATS1vnumeric218 unique values
0 missing
nCb.numeric9 unique values
0 missing
SpMin7_Bh.m.numeric107 unique values
0 missing
Svnumeric345 unique values
0 missing
VvdwMGnumeric327 unique values
0 missing
Vxnumeric327 unique values
0 missing
SM07_EA.bo.numeric290 unique values
0 missing
VvdwZAZnumeric352 unique values
0 missing
piPC01numeric48 unique values
0 missing
SCBOnumeric48 unique values
0 missing
ATS7mnumeric353 unique values
0 missing
SpMax2_Bh.m.numeric224 unique values
0 missing
piPC05numeric270 unique values
0 missing
SpMAD_EA.bo.numeric196 unique values
0 missing
SpMin2_Bh.e.numeric137 unique values
0 missing
SpMin2_Bh.i.numeric148 unique values
0 missing
CATS2D_06_DAnumeric6 unique values
0 missing
SsssNnumeric392 unique values
0 missing
ATS7vnumeric329 unique values
0 missing
ATSC8inumeric359 unique values
0 missing
Spnumeric334 unique values
0 missing
SM08_EA.bo.numeric295 unique values
0 missing
SM09_EA.bo.numeric300 unique values
0 missing
SM11_EA.bo.numeric295 unique values
0 missing
BIDnumeric42 unique values
0 missing
CENTnumeric299 unique values
0 missing
Chi0_EA.ri.numeric435 unique values
0 missing
CIDnumeric192 unique values
0 missing
Eig07_EA.ed.numeric257 unique values
0 missing
Eig09_AEA.bo.numeric203 unique values
0 missing
Eta_alphanumeric222 unique values
0 missing
IDDMnumeric126 unique values
0 missing
IVDMnumeric148 unique values
0 missing
nSKnumeric23 unique values
0 missing
SM02_AEA.ri.numeric257 unique values
0 missing
SpMaxA_EA.ri.numeric47 unique values
0 missing
X1numeric266 unique values
0 missing
D.Dtr10numeric21 unique values
0 missing
nR10numeric2 unique values
0 missing
SpMin4_Bh.m.numeric171 unique values
0 missing
Psi_i_0numeric381 unique values
0 missing
SM06_AEA.bo.numeric261 unique values
0 missing
SpAD_EA.bo.numeric341 unique values
0 missing
P_VSA_LogP_7numeric44 unique values
0 missing
X1vnumeric395 unique values
0 missing
SdOnumeric403 unique values
0 missing
P_VSA_p_3numeric395 unique values
0 missing
P_VSA_v_3numeric395 unique values
0 missing
SM13_EA.bo.numeric296 unique values
0 missing
Eig05_AEA.bo.numeric262 unique values
0 missing
Eig06_EA.dm.numeric19 unique values
0 missing
Eig03_AEA.bo.numeric187 unique values
0 missing
Eta_Fnumeric453 unique values
0 missing
TIC2numeric383 unique values
0 missing
P_VSA_s_2numeric56 unique values
0 missing
P_VSA_e_1numeric28 unique values
0 missing
P_VSA_m_1numeric28 unique values
0 missing
P_VSA_v_1numeric28 unique values
0 missing
CATS2D_01_AAnumeric5 unique values
0 missing
SM10_EA.bo.numeric298 unique values
0 missing
SpMax3_Bh.e.numeric185 unique values
0 missing
SM12_EA.bo.numeric304 unique values
0 missing
AMRnumeric423 unique values
0 missing

62 properties

470
Number of instances (rows) of the dataset.
131
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.
130
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.
0.28
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
5.53
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.
-0.83
Mean skewness among attributes of the numeric type.
6.89
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
12.7
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.
-0.39
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.34
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.87
Second quartile (Median) of standard deviation of attributes of the numeric type.
89.11
Maximum kurtosis among attributes of the numeric type.
0.03
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
1902.3
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.
17.59
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.
99.24
Percentage of numeric attributes.
37.59
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-6.3
Minimum skewness among attributes of the numeric type.
0.76
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
6.67
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.
0.07
Third quartile of skewness among attributes of the numeric type.
599.06
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
1.98
First quartile of kurtosis among attributes of the numeric type.
6.35
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.
3.74
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
13.34
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.
69.69
Mean of means among attributes of the numeric type.
-1.94
First quartile of skewness among attributes of the numeric type.
0.21
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.2
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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