Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3155

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3155

deactivated ARFF Publicly available Visibility: public Uploaded 15-07-2016 by Noureddin Sadawi
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target ChEMBL_ID: CHEMBL3155 (TID: 10209), and it has 1171 rows and 135 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.

137 features

pXC50 (target)numeric620 unique values
0 missing
molecule_id (row identifier)nominal1171 unique values
0 missing
SpMAD_EA.bo.numeric330 unique values
0 missing
nCrqnumeric3 unique values
0 missing
CATS2D_02_DLnumeric9 unique values
0 missing
Eta_F_Anumeric471 unique values
0 missing
piPC10numeric789 unique values
0 missing
C.004numeric3 unique values
0 missing
nCqnumeric3 unique values
0 missing
SM07_EA.ri.numeric755 unique values
0 missing
GGI6numeric474 unique values
0 missing
Eig04_AEA.bo.numeric500 unique values
0 missing
MATS5vnumeric341 unique values
0 missing
H.numeric153 unique values
0 missing
D.Dtr06numeric886 unique values
0 missing
Mvnumeric133 unique values
0 missing
P_VSA_LogP_4numeric140 unique values
0 missing
SRW09numeric72 unique values
0 missing
SM06_EA.ri.numeric718 unique values
0 missing
SM07_EA.bo.numeric676 unique values
0 missing
SM08_EA.bo.numeric693 unique values
0 missing
SssCH2numeric1024 unique values
0 missing
H.052numeric13 unique values
0 missing
SM10_EA.bo.numeric706 unique values
0 missing
SM09_EA.bo.numeric702 unique values
0 missing
SpMax1_Bh.p.numeric303 unique values
0 missing
C.006numeric10 unique values
0 missing
SdOnumeric718 unique values
0 missing
SM11_EA.bo.numeric739 unique values
0 missing
SM12_EA.bo.numeric727 unique values
0 missing
SM15_EA.bo.numeric728 unique values
0 missing
SM05_EA.bo.numeric598 unique values
0 missing
GGI8numeric300 unique values
0 missing
SM13_EA.bo.numeric725 unique values
0 missing
SM05_EA.ri.numeric687 unique values
0 missing
SM14_EA.bo.numeric733 unique values
0 missing
NdOnumeric5 unique values
0 missing
Eig05_EA.bo.numeric527 unique values
0 missing
SM15_AEA.ri.numeric527 unique values
0 missing
SM10_EAnumeric718 unique values
0 missing
SpMin2_Bh.p.numeric242 unique values
0 missing
nBnznumeric5 unique values
0 missing
nOnumeric8 unique values
0 missing
S2Knumeric781 unique values
0 missing
H.047numeric32 unique values
0 missing
MDDDnumeric864 unique values
0 missing
MATS8vnumeric399 unique values
0 missing
SpMin4_Bh.p.numeric383 unique values
0 missing
Eig01_EA.ed.numeric435 unique values
0 missing
SM10_AEA.dm.numeric435 unique values
0 missing
SpMax_EA.ed.numeric435 unique values
0 missing
GATS8vnumeric411 unique values
0 missing
D.Dtr09numeric355 unique values
0 missing
Eig01_EA.ri.numeric381 unique values
0 missing
SpDiam_EA.ri.numeric381 unique values
0 missing
SpMax_EA.ri.numeric381 unique values
0 missing
piPC09numeric756 unique values
0 missing
SpMin1_Bh.s.numeric306 unique values
0 missing
SpMaxA_AEA.ed.numeric222 unique values
0 missing
SpMin1_Bh.p.numeric177 unique values
0 missing
SpMaxA_EAnumeric128 unique values
0 missing
TPSA.Tot.numeric365 unique values
0 missing
SM11_EA.ri.numeric805 unique values
0 missing
SM12_EA.ri.numeric848 unique values
0 missing
SM13_EA.ri.numeric819 unique values
0 missing
SM14_EA.ri.numeric858 unique values
0 missing
GGI7numeric383 unique values
0 missing
P_VSA_e_5numeric57 unique values
0 missing
Eig04_EA.bo.numeric503 unique values
0 missing
SM14_AEA.ri.numeric503 unique values
0 missing
SM15_AEA.ed.numeric742 unique values
0 missing
Eig03_EA.ri.numeric497 unique values
0 missing
SM15_EA.ri.numeric840 unique values
0 missing
Eta_Fnumeric1099 unique values
0 missing
SM06_EA.bo.numeric649 unique values
0 missing
SpMin3_Bh.e.numeric351 unique values
0 missing
SM10_EA.ri.numeric832 unique values
0 missing
PHInumeric795 unique values
0 missing
MSDnumeric837 unique values
0 missing
MATS8mnumeric426 unique values
0 missing
SpMAD_AEA.ed.numeric185 unique values
0 missing
SM07_EA.ed.numeric732 unique values
0 missing
piPC02numeric225 unique values
0 missing
SM02_EA.bo.numeric225 unique values
0 missing
C.024numeric19 unique values
0 missing
SpMin4_Bh.v.numeric386 unique values
0 missing
SM13_AEA.ed.numeric727 unique values
0 missing
SM14_AEA.ed.numeric700 unique values
0 missing
Eig01_AEA.ri.numeric400 unique values
0 missing
SpMax_AEA.ri.numeric400 unique values
0 missing
SpMax3_Bh.p.numeric388 unique values
0 missing
Eig04_EA.ed.numeric644 unique values
0 missing
SM13_AEA.dm.numeric644 unique values
0 missing
Eta_FLnumeric857 unique values
0 missing
C.002numeric10 unique values
0 missing
SpMaxA_EA.ed.numeric313 unique values
0 missing
PW3numeric93 unique values
0 missing
Eig08_AEA.bo.numeric535 unique values
0 missing
SpMAD_AEA.bo.numeric148 unique values
0 missing
SM05_EA.ed.numeric682 unique values
0 missing
SpMax5_Bh.s.numeric574 unique values
0 missing
JGI3numeric57 unique values
0 missing
CSInumeric616 unique values
0 missing
SM04_EA.ed.numeric684 unique values
0 missing
Eig08_EA.bo.numeric570 unique values
0 missing
Eig07_EA.bo.numeric518 unique values
0 missing
O.numeric80 unique values
0 missing
SM09_EA.ri.numeric809 unique values
0 missing
SpMin3_Bh.i.numeric350 unique values
0 missing
GATS8pnumeric447 unique values
0 missing
CIC1numeric657 unique values
0 missing
SM10_AEA.ed.numeric689 unique values
0 missing
RDCHInumeric694 unique values
0 missing
SM08_EA.ri.numeric773 unique values
0 missing
SpDiam_EA.ed.numeric496 unique values
0 missing
D.Dtr10numeric381 unique values
0 missing
P_VSA_p_2numeric297 unique values
0 missing
SpMin2_Bh.v.numeric234 unique values
0 missing
SpMin4_Bh.e.numeric414 unique values
0 missing
H.046numeric15 unique values
0 missing
SM09_EA.dm.numeric105 unique values
0 missing
SM11_EA.dm.numeric94 unique values
0 missing
SM13_EA.dm.numeric93 unique values
0 missing
SM15_EA.dm.numeric89 unique values
0 missing
Eig04_EA.ri.numeric569 unique values
0 missing
Uindexnumeric879 unique values
0 missing
SM12_EAnumeric751 unique values
0 missing
CATS2D_04_LLnumeric28 unique values
0 missing
nCsp2numeric24 unique values
0 missing
ECCnumeric451 unique values
0 missing
SIC1numeric252 unique values
0 missing
SddsNnumeric23 unique values
0 missing
SpMaxA_AEA.ri.numeric156 unique values
0 missing
TPSA.NO.numeric312 unique values
0 missing
GATS1vnumeric339 unique values
0 missing
ATS7snumeric768 unique values
0 missing
Eig03_EAnumeric449 unique values
0 missing

62 properties

1171
Number of instances (rows) of the dataset.
137
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.
136
Number of numeric attributes.
1
Number of nominal attributes.
2.28
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.12
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
4.41
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.
-0.01
Mean skewness among 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.
8.22
Mean standard deviation of attributes of the numeric type.
0.02
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
0.64
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.93
Minimum kurtosis among attributes of the numeric type.
-0.05
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
68.84
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
4.6
Third quartile of kurtosis among attributes of the numeric type.
775.84
Maximum of means among attributes of the numeric type.
The minimal number of distinct values among attributes of the nominal type.
99.27
Percentage of numeric attributes.
13.69
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-7.93
Minimum skewness among attributes of the numeric type.
0.73
Percentage of nominal 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.
0.01
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.83
Third quartile of skewness among attributes of the numeric type.
3.24
Maximum skewness among attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.16
First quartile of kurtosis among attributes of the numeric type.
1.89
Third quartile of standard deviation of attributes of the numeric type.
320.49
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
1.8
First quartile of means 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.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
4.65
Mean kurtosis among attributes of the numeric type.
-0.59
First quartile of skewness among attributes of the numeric type.
20.34
Mean of means among attributes of the numeric type.
0.24
First quartile of standard deviation of attributes of the numeric type.
-0.02
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among 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.

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
Define a new task