Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2039

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2039

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: CHEMBL2039 (TID: 104), and it has 1164 rows and 136 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.

138 features

pXC50 (target)numeric877 unique values
0 missing
molecule_id (row identifier)nominal1164 unique values
0 missing
HVcpxnumeric515 unique values
0 missing
IDEnumeric539 unique values
0 missing
AECCnumeric458 unique values
0 missing
MSDnumeric667 unique values
0 missing
DECCnumeric433 unique values
0 missing
ICRnumeric333 unique values
0 missing
GGI10numeric127 unique values
0 missing
MLOGP2numeric744 unique values
0 missing
BLTA96numeric336 unique values
0 missing
MLOGPnumeric698 unique values
0 missing
BLTF96numeric294 unique values
0 missing
BLTD48numeric323 unique values
0 missing
SpMax2_Bh.p.numeric341 unique values
0 missing
ALOGPnumeric805 unique values
0 missing
ALOGP2numeric878 unique values
0 missing
JGI10numeric18 unique values
0 missing
MDDDnumeric682 unique values
0 missing
SpMax2_Bh.e.numeric288 unique values
0 missing
UNIPnumeric134 unique values
0 missing
GGI9numeric180 unique values
0 missing
Eig04_AEA.bo.numeric500 unique values
0 missing
Eig03_AEA.bo.numeric510 unique values
0 missing
Eig03_EA.bo.numeric544 unique values
0 missing
SM13_AEA.ri.numeric544 unique values
0 missing
SMTIVnumeric926 unique values
0 missing
P_VSA_e_2numeric787 unique values
0 missing
Eig04_AEA.dm.numeric655 unique values
0 missing
SpMin2_Bh.v.numeric280 unique values
0 missing
SpMaxA_EA.ed.numeric299 unique values
0 missing
nCnumeric29 unique values
0 missing
Eig04_EA.bo.numeric546 unique values
0 missing
SM14_AEA.ri.numeric546 unique values
0 missing
SpMax2_Bh.v.numeric336 unique values
0 missing
GMTIVnumeric952 unique values
0 missing
CATS2D_08_LLnumeric25 unique values
0 missing
RDCHInumeric590 unique values
0 missing
SpMax2_Bh.i.numeric274 unique values
0 missing
Eig13_AEA.bo.numeric545 unique values
0 missing
ATS1pnumeric467 unique values
0 missing
NaasCnumeric12 unique values
0 missing
SpMin2_Bh.i.numeric301 unique values
0 missing
MATS3inumeric355 unique values
0 missing
GMTInumeric710 unique values
0 missing
Hynumeric264 unique values
0 missing
SpMin2_Bh.m.numeric304 unique values
0 missing
SpMin2_Bh.p.numeric282 unique values
0 missing
Eig14_AEA.bo.numeric510 unique values
0 missing
Eig11_AEA.dm.numeric693 unique values
0 missing
Eig04_EA.ed.numeric617 unique values
0 missing
SM13_AEA.dm.numeric617 unique values
0 missing
P_VSA_p_3numeric790 unique values
0 missing
P_VSA_v_3numeric790 unique values
0 missing
SAdonnumeric35 unique values
0 missing
Eig11_AEA.bo.numeric534 unique values
0 missing
Eig10_AEA.dm.numeric660 unique values
0 missing
CATS2D_03_DAnumeric4 unique values
0 missing
SpMax6_Bh.p.numeric419 unique values
0 missing
GATS1inumeric499 unique values
0 missing
Eig08_AEA.bo.numeric477 unique values
0 missing
Eig04_AEA.ri.numeric583 unique values
0 missing
Psi_i_snumeric431 unique values
0 missing
piPC01numeric76 unique values
0 missing
SCBOnumeric76 unique values
0 missing
Psi_e_0numeric808 unique values
0 missing
SpMax7_Bh.m.numeric465 unique values
0 missing
SpMaxA_AEA.bo.numeric207 unique values
0 missing
Eta_betaPnumeric50 unique values
0 missing
Eta_betanumeric138 unique values
0 missing
SpAD_EA.bo.numeric817 unique values
0 missing
Eig11_EAnumeric525 unique values
0 missing
SM05_AEA.dm.numeric525 unique values
0 missing
CATS2D_05_LLnumeric25 unique values
0 missing
MATS1snumeric293 unique values
0 missing
Eig08_EA.bo.numeric530 unique values
0 missing
Eig12_AEA.dm.numeric704 unique values
0 missing
ATS1vnumeric477 unique values
0 missing
P_VSA_m_2numeric787 unique values
0 missing
SpMaxA_AEA.ri.numeric177 unique values
0 missing
BIDnumeric147 unique values
0 missing
S1Knumeric568 unique values
0 missing
X1Madnumeric860 unique values
0 missing
XMODnumeric856 unique values
0 missing
PCRnumeric334 unique values
0 missing
Eig10_AEA.bo.numeric568 unique values
0 missing
Uinumeric28 unique values
0 missing
SpMin6_Bh.i.numeric409 unique values
0 missing
P_VSA_i_2numeric785 unique values
0 missing
Eig04_EAnumeric466 unique values
0 missing
SM12_AEA.bo.numeric466 unique values
0 missing
H.050numeric6 unique values
0 missing
nHDonnumeric6 unique values
0 missing
Eig10_AEA.ri.numeric682 unique values
0 missing
Eig09_AEA.dm.numeric600 unique values
0 missing
Eig03_EAnumeric458 unique values
0 missing
SM11_AEA.bo.numeric458 unique values
0 missing
SpMax6_Bh.v.numeric423 unique values
0 missing
Eig15_AEA.bo.numeric493 unique values
0 missing
Psi_e_1numeric826 unique values
0 missing
Eig09_EA.bo.numeric590 unique values
0 missing
ZM1MulPernumeric925 unique values
0 missing
Eig07_AEA.bo.numeric505 unique values
0 missing
Eig13_AEA.ri.numeric641 unique values
0 missing
piPC02numeric187 unique values
0 missing
SM02_EA.bo.numeric187 unique values
0 missing
SM02_AEA.bo.numeric269 unique values
0 missing
IDDMnumeric263 unique values
0 missing
Eig12_AEA.bo.numeric554 unique values
0 missing
Eig11_AEA.ri.numeric678 unique values
0 missing
Eig10_EA.ed.numeric591 unique values
0 missing
SM05_AEA.ri.numeric591 unique values
0 missing
ZM1Vnumeric191 unique values
0 missing
Eig03_EA.ri.numeric573 unique values
0 missing
X2numeric646 unique values
0 missing
MWnumeric691 unique values
0 missing
SpAD_AEA.dm.numeric1020 unique values
0 missing
X0numeric243 unique values
0 missing
Eig10_EA.ri.numeric677 unique values
0 missing
SsNH2numeric117 unique values
0 missing
SM04_EA.bo.numeric523 unique values
0 missing
Eig11_EA.ed.numeric607 unique values
0 missing
SM06_AEA.ri.numeric607 unique values
0 missing
ATS2pnumeric512 unique values
0 missing
Chi0_AEA.bo.numeric444 unique values
0 missing
Chi0_AEA.dm.numeric444 unique values
0 missing
Chi0_AEA.ed.numeric444 unique values
0 missing
Chi0_AEA.ri.numeric444 unique values
0 missing
Chi0_EAnumeric444 unique values
0 missing
nSKnumeric32 unique values
0 missing
Yindexnumeric436 unique values
0 missing
Eig03_AEA.ri.numeric570 unique values
0 missing
SpMax8_Bh.m.numeric520 unique values
0 missing
P_VSA_s_3numeric683 unique values
0 missing
SM06_EA.bo.numeric602 unique values
0 missing
SM03_AEA.bo.numeric396 unique values
0 missing
CATS2D_04_PLnumeric5 unique values
0 missing
Chi0_EA.ri.numeric882 unique values
0 missing

62 properties

1164
Number of instances (rows) of the dataset.
138
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.
137
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.
0.12
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
2.55
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.
-0.2
Mean skewness among attributes of the numeric type.
3.1
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
132.43
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.
-0.07
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-0.81
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.67
Second quartile (Median) of standard deviation of attributes of the numeric type.
34.81
Maximum kurtosis among attributes of the numeric type.
-4.28
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
14375.41
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.
6.37
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.
99.28
Percentage of numeric attributes.
9.83
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-2.81
Minimum skewness among attributes of the numeric type.
0.72
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
3.74
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.51
Third quartile of skewness among attributes of the numeric type.
8980.58
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
1.03
First quartile of kurtosis among attributes of the numeric type.
2.91
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.
0.88
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
5.28
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.
217.67
Mean of means among attributes of the numeric type.
-1.33
First quartile of skewness among attributes of the numeric type.
-0.03
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
0.28
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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