Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1835

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1835

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: CHEMBL1835 (TID: 248), and it has 923 rows and 137 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.

139 features

pXC50 (target)numeric328 unique values
0 missing
molecule_id (row identifier)nominal923 unique values
0 missing
CATS2D_05_NLnumeric6 unique values
0 missing
CATS2D_01_ANnumeric4 unique values
0 missing
CATS2D_01_DNnumeric3 unique values
0 missing
P_VSA_LogP_4numeric181 unique values
0 missing
CATS2D_04_NLnumeric5 unique values
0 missing
CATS2D_03_NLnumeric4 unique values
0 missing
CATS2D_02_NLnumeric4 unique values
0 missing
SpMax1_Bh.s.numeric92 unique values
0 missing
CATS2D_01_NLnumeric3 unique values
0 missing
P_VSA_p_2numeric246 unique values
0 missing
H.049numeric5 unique values
0 missing
CATS2D_09_NLnumeric6 unique values
0 missing
SAaccnumeric239 unique values
0 missing
nPyridinesnumeric3 unique values
0 missing
nRCOOHnumeric3 unique values
0 missing
SpMax2_Bh.s.numeric129 unique values
0 missing
P_VSA_v_2numeric266 unique values
0 missing
CATS2D_06_NLnumeric7 unique values
0 missing
CATS2D_06_DLnumeric14 unique values
0 missing
nROHnumeric4 unique values
0 missing
P_VSA_s_6numeric231 unique values
0 missing
O.057numeric5 unique values
0 missing
CATS2D_02_DAnumeric7 unique values
0 missing
CATS2D_08_NLnumeric7 unique values
0 missing
P_VSA_MR_2numeric190 unique values
0 missing
P_VSA_e_5numeric99 unique values
0 missing
P_VSA_m_3numeric114 unique values
0 missing
MATS2enumeric358 unique values
0 missing
SAdonnumeric41 unique values
0 missing
TPSA.NO.numeric241 unique values
0 missing
NsOHnumeric5 unique values
0 missing
GATS2enumeric430 unique values
0 missing
SsOHnumeric499 unique values
0 missing
H.050numeric8 unique values
0 missing
nHDonnumeric8 unique values
0 missing
TPSA.Tot.numeric271 unique values
0 missing
Eig01_EA.bo.numeric313 unique values
0 missing
SM11_AEA.ri.numeric313 unique values
0 missing
SpDiam_EA.bo.numeric317 unique values
0 missing
SpMax_EA.bo.numeric313 unique values
0 missing
MATS2snumeric316 unique values
0 missing
CATS2D_09_ANnumeric4 unique values
0 missing
CATS2D_05_AAnumeric7 unique values
0 missing
GATS4inumeric345 unique values
0 missing
nCarnumeric26 unique values
0 missing
SM13_EA.bo.numeric527 unique values
0 missing
SM14_EA.bo.numeric518 unique values
0 missing
SpMin4_Bh.i.numeric417 unique values
0 missing
SM15_EA.bo.numeric527 unique values
0 missing
SpMax3_Bh.s.numeric245 unique values
0 missing
SM12_EA.bo.numeric529 unique values
0 missing
SpMin4_Bh.e.numeric416 unique values
0 missing
CATS2D_07_DLnumeric14 unique values
0 missing
H.046numeric28 unique values
0 missing
SM11_EA.bo.numeric526 unique values
0 missing
GGI10numeric238 unique values
0 missing
GATS5enumeric524 unique values
0 missing
N.067numeric3 unique values
0 missing
GGI9numeric302 unique values
0 missing
GATS8vnumeric346 unique values
0 missing
SpMax1_Bh.m.numeric302 unique values
0 missing
SpMax1_Bh.p.numeric279 unique values
0 missing
MATS1pnumeric244 unique values
0 missing
CATS2D_07_NLnumeric8 unique values
0 missing
CATS2D_05_LLnumeric38 unique values
0 missing
Hynumeric309 unique values
0 missing
NaaNnumeric5 unique values
0 missing
SpMin3_Bh.i.numeric381 unique values
0 missing
SaaNnumeric461 unique values
0 missing
SpMin4_Bh.v.numeric372 unique values
0 missing
MAXDNnumeric586 unique values
0 missing
C.027numeric5 unique values
0 missing
GATS2snumeric360 unique values
0 missing
MATS7snumeric331 unique values
0 missing
GATS5vnumeric303 unique values
0 missing
SpMin3_Bh.m.numeric348 unique values
0 missing
SM10_EA.bo.numeric523 unique values
0 missing
C.040numeric6 unique values
0 missing
X2Avnumeric112 unique values
0 missing
CATS2D_06_LLnumeric40 unique values
0 missing
SM09_EA.bo.numeric525 unique values
0 missing
ATSC2enumeric411 unique values
0 missing
N.075numeric5 unique values
0 missing
nOnumeric12 unique values
0 missing
SpMin4_Bh.p.numeric377 unique values
0 missing
SpMax4_Bh.v.numeric487 unique values
0 missing
nBMnumeric33 unique values
0 missing
Ucnumeric33 unique values
0 missing
ATSC2snumeric824 unique values
0 missing
ATSC1snumeric748 unique values
0 missing
SM07_EA.dm.numeric104 unique values
0 missing
MATS1vnumeric151 unique values
0 missing
C.002numeric16 unique values
0 missing
CATS2D_09_DAnumeric8 unique values
0 missing
MATS4inumeric318 unique values
0 missing
CATS2D_04_LLnumeric36 unique values
0 missing
CATS2D_04_DLnumeric15 unique values
0 missing
nABnumeric20 unique values
0 missing
MDDDnumeric604 unique values
0 missing
MATS1inumeric315 unique values
0 missing
ATS2snumeric582 unique values
0 missing
CATS2D_05_DLnumeric13 unique values
0 missing
SpMin4_Bh.m.numeric402 unique values
0 missing
SpMax1_Bh.e.numeric238 unique values
0 missing
SpMin5_Bh.i.numeric487 unique values
0 missing
SM12_EA.ri.numeric682 unique values
0 missing
Eig01_AEA.bo.numeric308 unique values
0 missing
SpMax_AEA.bo.numeric308 unique values
0 missing
MATS1mnumeric175 unique values
0 missing
SM11_EA.ri.numeric621 unique values
0 missing
CATS2D_03_DLnumeric11 unique values
0 missing
SM04_EA.bo.numeric518 unique values
0 missing
SpMax4_Bh.p.numeric457 unique values
0 missing
ATSC3snumeric840 unique values
0 missing
SM10_EA.ri.numeric668 unique values
0 missing
Eig01_AEA.ed.numeric275 unique values
0 missing
SpMax_AEA.ed.numeric275 unique values
0 missing
P_VSA_s_1numeric7 unique values
0 missing
MATS5inumeric313 unique values
0 missing
Eig02_EA.ri.numeric402 unique values
0 missing
SpDiam_EA.dm.numeric87 unique values
0 missing
SM05_EA.ed.numeric444 unique values
0 missing
SM13_EAnumeric487 unique values
0 missing
SM14_EAnumeric509 unique values
0 missing
CATS2D_07_LLnumeric41 unique values
0 missing
SM09_EA.ri.numeric603 unique values
0 missing
O.numeric104 unique values
0 missing
SpMin3_Bh.v.numeric342 unique values
0 missing
SM11_AEA.ed.numeric482 unique values
0 missing
GATS5snumeric569 unique values
0 missing
CATS2D_09_DLnumeric11 unique values
0 missing
Uinumeric36 unique values
0 missing
SM15_EA.ri.numeric636 unique values
0 missing
GATS1inumeric415 unique values
0 missing
SpMin2_Bh.s.numeric337 unique values
0 missing
SM13_EA.ri.numeric637 unique values
0 missing
SpMin1_Bh.s.numeric292 unique values
0 missing

62 properties

923
Number of instances (rows) of the dataset.
139
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.
138
Number of numeric attributes.
1
Number of nominal attributes.
Third quartile of entropy among attributes.
421.46
Maximum kurtosis among attributes of the numeric type.
-0.1
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
7.38
Third quartile of kurtosis among attributes of the numeric type.
129.92
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.
10.72
Third quartile of means 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.
99.28
Percentage of numeric attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-2.83
Minimum skewness among attributes of the numeric type.
0.72
Percentage of nominal attributes.
2.07
Third quartile of skewness among attributes of the numeric type.
17.1
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.
1.96
Third quartile of standard deviation of attributes of the numeric type.
68.81
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.11
First quartile of kurtosis among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.93
First quartile of means among attributes of the numeric type.
40.5
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.
13.43
Mean of means among attributes of the numeric type.
-0.37
First quartile of skewness among attributes of the numeric type.
-0.09
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.25
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.
0.15
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.95
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.
2.09
Mean skewness among attributes of the numeric type.
2.74
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
6.36
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.
0.36
Second quartile (Median) of skewness among attributes of the numeric type.
0.8
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.35
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary 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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