Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3911

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3911

deactivated ARFF Publicly available Visibility: public Uploaded 16-07-2016 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: CHEMBL3911 (TID: 10542), and it has 351 rows and 133 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.

135 features

pXC50 (target)numeric252 unique values
0 missing
molecule_id (row identifier)nominal351 unique values
0 missing
ATSC8enumeric284 unique values
0 missing
SpMax5_Bh.i.numeric196 unique values
0 missing
TPSA.Tot.numeric145 unique values
0 missing
nHetnumeric15 unique values
0 missing
TPSA.NO.numeric125 unique values
0 missing
IACnumeric255 unique values
0 missing
TIC0numeric255 unique values
0 missing
SpMax6_Bh.v.numeric212 unique values
0 missing
SpMin7_Bh.v.numeric196 unique values
0 missing
S1Knumeric257 unique values
0 missing
SpMin6_Bh.p.numeric217 unique values
0 missing
ON0Vnumeric211 unique values
0 missing
SpMin6_Bh.v.numeric216 unique values
0 missing
SpMax6_Bh.e.numeric234 unique values
0 missing
ON1Vnumeric277 unique values
0 missing
SpMin7_Bh.p.numeric210 unique values
0 missing
SssOnumeric254 unique values
0 missing
TIC2numeric306 unique values
0 missing
SAtotnumeric285 unique values
0 missing
SpMax6_Bh.p.numeric209 unique values
0 missing
P_VSA_LogP_4numeric74 unique values
0 missing
SpMin8_Bh.v.numeric183 unique values
0 missing
ATSC4mnumeric324 unique values
0 missing
SpMax6_Bh.i.numeric223 unique values
0 missing
ATSC5mnumeric328 unique values
0 missing
Sinumeric263 unique values
0 missing
SpMin7_Bh.e.numeric208 unique values
0 missing
ATS7inumeric281 unique values
0 missing
ATS2inumeric237 unique values
0 missing
SpMin4_Bh.s.numeric168 unique values
0 missing
SpMin7_Bh.m.numeric169 unique values
0 missing
SPInumeric266 unique values
0 missing
ATS7enumeric287 unique values
0 missing
ATSC1inumeric228 unique values
0 missing
IC3numeric264 unique values
0 missing
SpMax7_Bh.i.numeric208 unique values
0 missing
IC2numeric269 unique values
0 missing
MSDnumeric263 unique values
0 missing
SpMax7_Bh.e.numeric215 unique values
0 missing
Eta_Cnumeric335 unique values
0 missing
P_VSA_p_2numeric125 unique values
0 missing
VvdwMGnumeric266 unique values
0 missing
Vxnumeric266 unique values
0 missing
SpMax7_Bh.v.numeric211 unique values
0 missing
X0vnumeric282 unique values
0 missing
SpMin8_Bh.p.numeric196 unique values
0 missing
Uindexnumeric267 unique values
0 missing
SpMax7_Bh.m.numeric219 unique values
0 missing
SpMax6_Bh.m.numeric250 unique values
0 missing
ISIZnumeric60 unique values
0 missing
nATnumeric60 unique values
0 missing
ATSC1snumeric306 unique values
0 missing
SpMaxA_EA.ed.numeric145 unique values
0 missing
C.006numeric10 unique values
0 missing
ATS1snumeric246 unique values
0 missing
Senumeric262 unique values
0 missing
SpMax7_Bh.p.numeric203 unique values
0 missing
ATS6inumeric278 unique values
0 missing
P_VSA_MR_2numeric110 unique values
0 missing
Eig15_EAnumeric205 unique values
0 missing
Eig15_EA.ed.numeric225 unique values
0 missing
Eig15_EA.ri.numeric248 unique values
0 missing
SM09_AEA.dm.numeric205 unique values
0 missing
SM10_AEA.ri.numeric225 unique values
0 missing
TIEnumeric335 unique values
0 missing
ATS1inumeric231 unique values
0 missing
ATS6enumeric278 unique values
0 missing
Eig15_EA.bo.numeric230 unique values
0 missing
SpMin8_Bh.e.numeric166 unique values
0 missing
ATS5vnumeric283 unique values
0 missing
GGI4numeric181 unique values
0 missing
Eig09_AEA.dm.numeric246 unique values
0 missing
P_VSA_i_3numeric213 unique values
0 missing
X0numeric177 unique values
0 missing
ON1numeric186 unique values
0 missing
Svnumeric263 unique values
0 missing
Eig13_AEA.ri.numeric238 unique values
0 missing
Eig07_AEA.ri.numeric221 unique values
0 missing
Eig13_EA.ri.numeric236 unique values
0 missing
Spnumeric258 unique values
0 missing
Eta_Lnumeric308 unique values
0 missing
ATSC8snumeric332 unique values
0 missing
TIC3numeric292 unique values
0 missing
P_VSA_v_2numeric140 unique values
0 missing
Eig08_AEA.dm.numeric254 unique values
0 missing
SpMin4_Bh.m.numeric173 unique values
0 missing
ATS6pnumeric279 unique values
0 missing
ATS8enumeric289 unique values
0 missing
ATSC1mnumeric276 unique values
0 missing
Eig10_AEA.dm.numeric243 unique values
0 missing
ATSC7mnumeric332 unique values
0 missing
SpMax8_Bh.e.numeric191 unique values
0 missing
ATSC2mnumeric288 unique values
0 missing
UNIPnumeric158 unique values
0 missing
GGI10numeric117 unique values
0 missing
ATSC6mnumeric332 unique values
0 missing
ATS8inumeric288 unique values
0 missing
ATSC7vnumeric331 unique values
0 missing
SpMin3_Bh.s.numeric153 unique values
0 missing
SpMin8_Bh.m.numeric161 unique values
0 missing
AMRnumeric289 unique values
0 missing
Eig15_AEA.ri.numeric251 unique values
0 missing
Eig06_AEA.dm.numeric238 unique values
0 missing
P_VSA_LogP_5numeric153 unique values
0 missing
X0solnumeric198 unique values
0 missing
ATS1enumeric226 unique values
0 missing
SM08_AEA.bo.numeric246 unique values
0 missing
ATSC5enumeric252 unique values
0 missing
CATS2D_07_ALnumeric16 unique values
0 missing
Eig03_AEA.ri.numeric200 unique values
0 missing
ATS5pnumeric283 unique values
0 missing
Eta_epsinumeric239 unique values
0 missing
CSInumeric235 unique values
0 missing
Eig03_EAnumeric162 unique values
0 missing
SM11_AEA.bo.numeric162 unique values
0 missing
LLS_01numeric5 unique values
0 missing
ATS4mnumeric282 unique values
0 missing
ATS5enumeric284 unique values
0 missing
SpMin6_Bh.m.numeric192 unique values
0 missing
DBInumeric53 unique values
0 missing
SpMaxA_AEA.dm.numeric90 unique values
0 missing
ATSC8mnumeric333 unique values
0 missing
MATS3mnumeric187 unique values
0 missing
Eig12_AEA.dm.numeric207 unique values
0 missing
SM04_AEA.ed.numeric231 unique values
0 missing
ATS5inumeric269 unique values
0 missing
RDCHInumeric254 unique values
0 missing
P_VSA_e_1numeric34 unique values
0 missing
P_VSA_m_1numeric34 unique values
0 missing
P_VSA_s_2numeric50 unique values
0 missing
P_VSA_v_1numeric34 unique values
0 missing
ATS4enumeric256 unique values
0 missing
ATS2enumeric241 unique values
0 missing

62 properties

351
Number of instances (rows) of the dataset.
135
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.
134
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.
0.38
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
11.88
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.
3.92
Mean skewness among attributes of the numeric type.
4.97
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
54.33
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.
1.87
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.45
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.73
Second quartile (Median) of standard deviation of attributes of the numeric type.
111.36
Maximum kurtosis among attributes of the numeric type.
-0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
1303.89
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.
73.69
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.
99.26
Percentage of numeric attributes.
39.94
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.84
Minimum skewness among attributes of the numeric type.
0.74
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
10.18
Maximum skewness among attributes of the numeric type.
0.02
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
7.89
Third quartile of skewness among attributes of the numeric type.
2739.98
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
1.43
First quartile of kurtosis among attributes of the numeric type.
26.11
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.
1.66
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
36.17
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.
62.47
Mean of means among attributes of the numeric type.
0.27
First quartile of skewness among attributes of the numeric type.
-0.16
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.26
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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