Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4409

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL4409

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: CHEMBL4409 (TID: 100010), and it has 725 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)numeric436 unique values
0 missing
molecule_id (row identifier)nominal725 unique values
0 missing
Eig02_EA.ed.numeric382 unique values
0 missing
SM11_AEA.dm.numeric382 unique values
0 missing
SpMin3_Bh.i.numeric298 unique values
0 missing
Eig07_AEA.ed.numeric382 unique values
0 missing
Eig02_AEA.ri.numeric353 unique values
0 missing
Eta_Bnumeric195 unique values
0 missing
piIDnumeric447 unique values
0 missing
nPyrimidinesnumeric3 unique values
0 missing
ON1Vnumeric534 unique values
0 missing
Eig09_AEA.ed.numeric397 unique values
0 missing
Eig08_EA.ed.numeric427 unique values
0 missing
SM03_AEA.ri.numeric427 unique values
0 missing
SM03_EA.ri.numeric342 unique values
0 missing
SpMin3_Bh.e.numeric296 unique values
0 missing
SM14_EAnumeric443 unique values
0 missing
SM04_EAnumeric172 unique values
0 missing
PCDnumeric411 unique values
0 missing
ATSC4inumeric535 unique values
0 missing
Eig08_AEA.ed.numeric393 unique values
0 missing
SM03_EAnumeric17 unique values
0 missing
Eig01_EA.ri.numeric259 unique values
0 missing
SpMax_EA.ri.numeric259 unique values
0 missing
Eig06_EAnumeric373 unique values
0 missing
SM14_AEA.bo.numeric373 unique values
0 missing
SpMin5_Bh.s.numeric314 unique values
0 missing
Eig02_EAnumeric310 unique values
0 missing
SM10_AEA.bo.numeric310 unique values
0 missing
SM02_AEA.ed.numeric133 unique values
0 missing
SM13_EAnumeric417 unique values
0 missing
O.numeric77 unique values
0 missing
piPC09numeric440 unique values
0 missing
SM05_EAnumeric89 unique values
0 missing
ATS6pnumeric477 unique values
0 missing
SM04_EA.ri.numeric441 unique values
0 missing
Ramnumeric13 unique values
0 missing
SpAD_EA.ed.numeric509 unique values
0 missing
SRW06numeric262 unique values
0 missing
piPC03numeric284 unique values
0 missing
Eig13_EA.bo.numeric388 unique values
0 missing
MWC04numeric236 unique values
0 missing
Qindexnumeric22 unique values
0 missing
SpMax6_Bh.v.numeric337 unique values
0 missing
SpAD_EAnumeric505 unique values
0 missing
SpMax6_Bh.p.numeric318 unique values
0 missing
P_VSA_MR_1numeric82 unique values
0 missing
ATSC7vnumeric695 unique values
0 missing
SpAD_AEA.bo.numeric526 unique values
0 missing
SM02_AEA.bo.numeric220 unique values
0 missing
SpAD_AEA.ri.numeric695 unique values
0 missing
ATS4inumeric501 unique values
0 missing
SM05_AEA.ed.numeric360 unique values
0 missing
SM06_EAnumeric350 unique values
0 missing
SM03_AEA.bo.numeric294 unique values
0 missing
SpAD_EA.bo.numeric529 unique values
0 missing
C.030numeric2 unique values
0 missing
SpMin3_Bh.v.numeric281 unique values
0 missing
SpAD_AEA.ed.numeric505 unique values
0 missing
MWC03numeric132 unique values
0 missing
ZM2numeric132 unique values
0 missing
piPC08numeric420 unique values
0 missing
piPC05numeric363 unique values
0 missing
Eig14_AEA.ed.numeric349 unique values
0 missing
ATS7inumeric533 unique values
0 missing
O.060numeric6 unique values
0 missing
SRW04numeric97 unique values
0 missing
SpMin3_Bh.m.numeric285 unique values
0 missing
SM13_AEA.ed.numeric421 unique values
0 missing
Eig08_AEA.ri.numeric422 unique values
0 missing
SM06_AEA.ed.numeric368 unique values
0 missing
Eig05_EA.ri.numeric423 unique values
0 missing
SM15_EAnumeric447 unique values
0 missing
MWC08numeric351 unique values
0 missing
ATSC6inumeric548 unique values
0 missing
Eig04_EA.dm.numeric35 unique values
0 missing
Eig13_AEA.ri.numeric464 unique values
0 missing
Eig13_EA.ed.numeric395 unique values
0 missing
Eig13_EA.ri.numeric438 unique values
0 missing
SM08_AEA.ri.numeric395 unique values
0 missing
SpMax6_Bh.i.numeric316 unique values
0 missing
Eig13_AEA.bo.numeric374 unique values
0 missing
Eig08_EA.ri.numeric435 unique values
0 missing
SpMin6_Bh.i.numeric320 unique values
0 missing
MWC02numeric67 unique values
0 missing
ZM1numeric67 unique values
0 missing
BBInumeric43 unique values
0 missing
MPC02numeric43 unique values
0 missing
SM02_EAnumeric43 unique values
0 missing
SM12_AEA.ed.numeric420 unique values
0 missing
Eig06_AEA.bo.numeric363 unique values
0 missing
ATSC7mnumeric698 unique values
0 missing
Eig02_AEA.bo.numeric273 unique values
0 missing
SM04_AEA.ed.numeric331 unique values
0 missing
SM04_AEA.bo.numeric323 unique values
0 missing
Eig02_EA.ri.numeric352 unique values
0 missing
nArORnumeric6 unique values
0 missing
SM12_EAnumeric416 unique values
0 missing
Eig05_AEA.ri.numeric414 unique values
0 missing
ATS3inumeric474 unique values
0 missing
ATS4enumeric497 unique values
0 missing
SpMin5_Bh.e.numeric342 unique values
0 missing
SpMAD_EA.dm.numeric250 unique values
0 missing
Eig12_AEA.ed.numeric346 unique values
0 missing
ATSC5inumeric526 unique values
0 missing
SpMin5_Bh.p.numeric312 unique values
0 missing
ATS7enumeric528 unique values
0 missing
SM14_AEA.ed.numeric433 unique values
0 missing
P_VSA_e_1numeric27 unique values
0 missing
P_VSA_m_1numeric27 unique values
0 missing
P_VSA_s_2numeric66 unique values
0 missing
P_VSA_v_1numeric27 unique values
0 missing
SM02_EA.ri.numeric390 unique values
0 missing
Eig04_EA.ed.numeric433 unique values
0 missing
SM13_AEA.dm.numeric433 unique values
0 missing
Chi1_AEA.bo.numeric446 unique values
0 missing
Chi1_AEA.dm.numeric446 unique values
0 missing
Chi1_AEA.ed.numeric446 unique values
0 missing
Chi1_AEA.ri.numeric446 unique values
0 missing
Chi1_EAnumeric446 unique values
0 missing
ISIZnumeric48 unique values
0 missing
nATnumeric48 unique values
0 missing
SpMin5_Bh.v.numeric292 unique values
0 missing
SpMax6_Bh.e.numeric334 unique values
0 missing
SM11_EAnumeric414 unique values
0 missing
SM04_EA.bo.numeric321 unique values
0 missing
SpMin5_Bh.i.numeric339 unique values
0 missing
SpMin3_Bh.p.numeric280 unique values
0 missing
SM15_AEA.ed.numeric434 unique values
0 missing
Eig05_EAnumeric354 unique values
0 missing
SM13_AEA.bo.numeric354 unique values
0 missing
SpMax3_Bh.p.numeric320 unique values
0 missing
SpMax1_Bh.i.numeric167 unique values
0 missing
SNarnumeric115 unique values
0 missing
Xtnumeric83 unique values
0 missing

62 properties

725
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.
0.48
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.
21.47
Mean of means among attributes of the numeric type.
-0.21
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.17
First quartile of standard deviation of attributes of the numeric type.
0.16
Average class difference between consecutive instances.
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.
Entropy of the target attribute values.
Average number of distinct values among the attributes of the nominal type.
0.26
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.19
Number of attributes divided by the number of instances.
0.04
Mean skewness among attributes of the numeric type.
4.7
Second quartile (Median) of means 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.
4.02
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.04
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
-1.3
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.31
Second quartile (Median) of standard deviation of attributes of the numeric type.
12.84
Maximum kurtosis among attributes of the numeric type.
0.06
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
259.33
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.
0.75
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.
12.89
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.66
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.
3.85
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.
0.32
Third quartile of skewness among attributes of the numeric type.
61.43
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.08
First quartile of kurtosis among attributes of the numeric type.
0.98
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.
2.15
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal 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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