Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2850

deactivated ARFF Publicly available Visibility: public Uploaded 14-07-2016 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: CHEMBL2850 (TID: 11017), and it has 1211 rows and 139 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.

141 features

pXC50 (target)numeric208 unique values
0 missing
molecule_id (row identifier)nominal1211 unique values
0 missing
Eig08_EA.bo.numeric704 unique values
0 missing
NaasCnumeric14 unique values
0 missing
SPInumeric1014 unique values
0 missing
Eig01_EA.bo.numeric492 unique values
0 missing
SM11_AEA.ri.numeric492 unique values
0 missing
SpDiam_EA.bo.numeric494 unique values
0 missing
SpMax_EA.bo.numeric492 unique values
0 missing
Depressant.80numeric2 unique values
0 missing
C.031numeric2 unique values
0 missing
MATS2pnumeric389 unique values
0 missing
Eig07_EA.ed.numeric877 unique values
0 missing
SM02_AEA.ri.numeric877 unique values
0 missing
GATS2pnumeric449 unique values
0 missing
GGI9numeric363 unique values
0 missing
Eig01_EA.ed.numeric711 unique values
0 missing
SM10_AEA.dm.numeric711 unique values
0 missing
SpMax_EA.ed.numeric711 unique values
0 missing
Eta_betanumeric165 unique values
0 missing
CMC.50numeric2 unique values
0 missing
ATS4mnumeric762 unique values
0 missing
Eig08_AEA.ri.numeric724 unique values
0 missing
Eig06_AEA.bo.numeric665 unique values
0 missing
P_VSA_LogP_3numeric228 unique values
0 missing
Eig07_AEA.bo.numeric652 unique values
0 missing
Eig07_AEA.ed.numeric755 unique values
0 missing
C.035numeric3 unique values
0 missing
Eig07_AEA.dm.numeric762 unique values
0 missing
ATSC6pnumeric1126 unique values
0 missing
piPC02numeric284 unique values
0 missing
SM02_EA.bo.numeric284 unique values
0 missing
SpMax7_Bh.m.numeric607 unique values
0 missing
ATSC7vnumeric1140 unique values
0 missing
Eig15_EA.ed.numeric827 unique values
0 missing
SM10_AEA.ri.numeric827 unique values
0 missing
Eig08_EA.ed.numeric853 unique values
0 missing
SM03_AEA.ri.numeric853 unique values
0 missing
Infective.50numeric2 unique values
0 missing
IDDEnumeric391 unique values
0 missing
Eig08_EAnumeric639 unique values
0 missing
SM02_AEA.dm.numeric639 unique values
0 missing
Eig08_EA.ri.numeric730 unique values
0 missing
SpMin3_Bh.v.numeric452 unique values
0 missing
Eig06_EAnumeric664 unique values
0 missing
SM14_AEA.bo.numeric664 unique values
0 missing
Eig15_EAnumeric695 unique values
0 missing
SM09_AEA.dm.numeric695 unique values
0 missing
Eig15_EA.bo.numeric774 unique values
0 missing
Eig07_EA.bo.numeric709 unique values
0 missing
GGI8numeric440 unique values
0 missing
Eig15_EA.ri.numeric826 unique values
0 missing
ALOGPnumeric998 unique values
0 missing
ALOGP2numeric1115 unique values
0 missing
GGI3numeric307 unique values
0 missing
Neoplastic.50numeric2 unique values
0 missing
Inflammat.80numeric2 unique values
0 missing
Eig06_EA.bo.numeric719 unique values
0 missing
NaaNHnumeric3 unique values
0 missing
ATS8snumeric877 unique values
0 missing
Eig08_AEA.bo.numeric651 unique values
0 missing
GGI4numeric710 unique values
0 missing
Eig07_AEA.ri.numeric729 unique values
0 missing
Eig07_EAnumeric640 unique values
0 missing
SM15_AEA.bo.numeric640 unique values
0 missing
ATS4pnumeric772 unique values
0 missing
SpMax8_Bh.m.numeric616 unique values
0 missing
Eig06_AEA.ed.numeric770 unique values
0 missing
ATS3mnumeric696 unique values
0 missing
ZM1MulPernumeric1169 unique values
0 missing
Eig08_AEA.ed.numeric748 unique values
0 missing
Eig06_EA.ed.numeric918 unique values
0 missing
SM15_AEA.dm.numeric918 unique values
0 missing
ATS5pnumeric809 unique values
0 missing
MATS5mnumeric431 unique values
0 missing
XMODnumeric1128 unique values
0 missing
X4solnumeric988 unique values
0 missing
Eig05_AEA.bo.numeric652 unique values
0 missing
CATS2D_01_DAnumeric3 unique values
0 missing
SaaNHnumeric292 unique values
0 missing
ATSC7pnumeric1134 unique values
0 missing
GMTInumeric1030 unique values
0 missing
SpAD_EA.bo.numeric1067 unique values
0 missing
MATS2vnumeric374 unique values
0 missing
Eig12_AEA.ed.numeric684 unique values
0 missing
SM14_EA.ed.numeric888 unique values
0 missing
Eig10_EA.ed.numeric815 unique values
0 missing
SM05_AEA.ri.numeric815 unique values
0 missing
Eig09_EAnumeric652 unique values
0 missing
SM03_AEA.dm.numeric652 unique values
0 missing
Eig11_EA.ed.numeric774 unique values
0 missing
SM06_AEA.ri.numeric774 unique values
0 missing
IC2numeric717 unique values
0 missing
Eig15_AEA.bo.numeric694 unique values
0 missing
SpMax3_Bh.p.numeric523 unique values
0 missing
GATS5pnumeric488 unique values
0 missing
SM15_EA.ed.numeric919 unique values
0 missing
SM07_AEA.bo.numeric666 unique values
0 missing
ZM2Pernumeric1159 unique values
0 missing
nArNH2numeric3 unique values
0 missing
Eig09_EA.ri.numeric714 unique values
0 missing
GATS2vnumeric394 unique values
0 missing
ZM2Vnumeric383 unique values
0 missing
SMTInumeric1033 unique values
0 missing
X4numeric991 unique values
0 missing
SM13_EA.ed.numeric896 unique values
0 missing
ATS1mnumeric641 unique values
0 missing
Chi1_EA.ri.numeric1124 unique values
0 missing
CATS2D_04_DLnumeric14 unique values
0 missing
SpMax5_Bh.m.numeric616 unique values
0 missing
Eta_alphanumeric637 unique values
0 missing
CATS2D_05_DLnumeric19 unique values
0 missing
ATS5enumeric807 unique values
0 missing
ATSC6vnumeric1137 unique values
0 missing
SpMin3_Bh.m.numeric478 unique values
0 missing
TIEnumeric1188 unique values
0 missing
piIDnumeric954 unique values
0 missing
GATS7mnumeric618 unique values
0 missing
Eig06_AEA.ri.numeric761 unique values
0 missing
MWnumeric1008 unique values
0 missing
SpMin5_Bh.i.numeric543 unique values
0 missing
X2solnumeric989 unique values
0 missing
ON0numeric164 unique values
0 missing
Eig10_AEA.ed.numeric693 unique values
0 missing
SpAD_AEA.dm.numeric1130 unique values
0 missing
CSInumeric665 unique values
0 missing
SM09_EA.dm.numeric126 unique values
0 missing
SM08_EA.bo.numeric747 unique values
0 missing
SM07_EA.dm.numeric137 unique values
0 missing
IC5numeric623 unique values
0 missing
ZM2MulPernumeric1171 unique values
0 missing
X5numeric987 unique values
0 missing
CATS2D_06_AAnumeric8 unique values
0 missing
ATS4vnumeric759 unique values
0 missing
ATS3pnumeric719 unique values
0 missing
ATS2mnumeric670 unique values
0 missing
SpMax3_Bh.v.numeric529 unique values
0 missing
ZM1Vnumeric233 unique values
0 missing
Eig09_AEA.ri.numeric732 unique values
0 missing
MATS5vnumeric415 unique values
0 missing
MAXDPnumeric1013 unique values
0 missing

62 properties

1211
Number of instances (rows) of the dataset.
141
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.
140
Number of numeric attributes.
1
Number of nominal attributes.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
1.32
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
2.35
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.
169.23
Mean of means among attributes of the numeric type.
-0.85
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.35
First quartile of standard deviation of attributes of the numeric type.
0.11
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.
1.1
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.12
Number of attributes divided by the number of instances.
-0.11
Mean skewness among attributes of the numeric type.
3.43
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.
112.78
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.
-0.28
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
-1.82
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.59
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
17.92
Maximum kurtosis among attributes of the numeric type.
-1.11
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
9957.05
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.
3.38
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.
99.29
Percentage of numeric attributes.
7.54
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-3.08
Minimum skewness among attributes of the numeric type.
0.71
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
3.18
Maximum skewness among attributes of the numeric type.
0.1
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.52
Third quartile of skewness among attributes of the numeric type.
7505.99
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.26
First quartile of kurtosis among attributes of the numeric type.
1.86
Third 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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