Data
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1865

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL1865

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: CHEMBL1865 (TID: 11307), and it has 864 rows and 138 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.

140 features

pXC50 (target)numeric479 unique values
0 missing
molecule_id (row identifier)nominal864 unique values
0 missing
CATS2D_01_DDnumeric3 unique values
0 missing
nRNHOnumeric3 unique values
0 missing
P_VSA_MR_3numeric24 unique values
0 missing
O.056numeric6 unique values
0 missing
LOCnumeric461 unique values
0 missing
Eig01_AEA.dm.numeric176 unique values
0 missing
SpMax_AEA.dm.numeric176 unique values
0 missing
MATS1enumeric246 unique values
0 missing
SpDiam_AEA.dm.numeric195 unique values
0 missing
SM14_EA.dm.numeric228 unique values
0 missing
Eig01_EA.dm.numeric93 unique values
0 missing
SpMax_EA.dm.numeric93 unique values
0 missing
nArNH2numeric2 unique values
0 missing
CATS2D_03_DPnumeric2 unique values
0 missing
SpMax3_Bh.s.numeric201 unique values
0 missing
nROHnumeric6 unique values
0 missing
CATS2D_05_APnumeric2 unique values
0 missing
SM10_EA.dm.numeric263 unique values
0 missing
SM06_EA.dm.numeric318 unique values
0 missing
SM08_EA.dm.numeric291 unique values
0 missing
SM12_EA.dm.numeric238 unique values
0 missing
NaasNnumeric3 unique values
0 missing
nImidazolesnumeric2 unique values
0 missing
SM04_EA.dm.numeric341 unique values
0 missing
SM11_EA.dm.numeric159 unique values
0 missing
SpDiam_EA.dm.numeric115 unique values
0 missing
SssNHnumeric655 unique values
0 missing
CATS2D_07_PLnumeric5 unique values
0 missing
P_VSA_s_5numeric52 unique values
0 missing
SpMax1_Bh.s.numeric58 unique values
0 missing
MAXDNnumeric586 unique values
0 missing
CATS2D_08_PLnumeric3 unique values
0 missing
P_VSA_LogP_3numeric171 unique values
0 missing
Eig03_AEA.dm.numeric343 unique values
0 missing
NsOHnumeric7 unique values
0 missing
CATS2D_02_ALnumeric19 unique values
0 missing
MATS1snumeric189 unique values
0 missing
C.032numeric2 unique values
0 missing
SpMax1_Bh.m.numeric330 unique values
0 missing
SpMin3_Bh.p.numeric351 unique values
0 missing
SdssCnumeric680 unique values
0 missing
CATS2D_06_PLnumeric6 unique values
0 missing
Psychotic.80numeric2 unique values
0 missing
PW5numeric59 unique values
0 missing
nPyrimidinesnumeric2 unique values
0 missing
CATS2D_04_DAnumeric7 unique values
0 missing
SM03_EA.dm.numeric102 unique values
0 missing
nHDonnumeric14 unique values
0 missing
SAdonnumeric106 unique values
0 missing
SM13_EA.dm.numeric156 unique values
0 missing
nCb.numeric12 unique values
0 missing
SM05_EA.dm.numeric169 unique values
0 missing
Eig05_EA.dm.numeric83 unique values
0 missing
SsOHnumeric438 unique values
0 missing
nR09numeric3 unique values
0 missing
H.050numeric14 unique values
0 missing
SM09_EA.dm.numeric168 unique values
0 missing
GATS5snumeric539 unique values
0 missing
SM15_EA.dm.numeric156 unique values
0 missing
SdOnumeric790 unique values
0 missing
SpMin2_Bh.m.numeric238 unique values
0 missing
C.043numeric3 unique values
0 missing
PCDnumeric627 unique values
0 missing
P_VSA_LogP_6numeric83 unique values
0 missing
SpDiam_EA.ed.numeric451 unique values
0 missing
piIDnumeric645 unique values
0 missing
Eig04_AEA.ri.numeric525 unique values
0 missing
SdsCHnumeric166 unique values
0 missing
Eig02_AEA.dm.numeric325 unique values
0 missing
Eig04_EAnumeric447 unique values
0 missing
SM12_AEA.bo.numeric447 unique values
0 missing
CATS2D_06_LLnumeric30 unique values
0 missing
Eig04_AEA.dm.numeric393 unique values
0 missing
GATS4pnumeric395 unique values
0 missing
MATS2enumeric363 unique values
0 missing
CATS2D_03_PLnumeric5 unique values
0 missing
SM07_EA.dm.numeric172 unique values
0 missing
MPC08numeric222 unique values
0 missing
MATS5snumeric337 unique values
0 missing
N.073numeric3 unique values
0 missing
Eig01_EA.ed.numeric388 unique values
0 missing
SM10_AEA.dm.numeric388 unique values
0 missing
SpMax_EA.ed.numeric388 unique values
0 missing
piPC08numeric620 unique values
0 missing
P_VSA_LogP_8numeric14 unique values
0 missing
piPC05numeric571 unique values
0 missing
MATS5enumeric364 unique values
0 missing
CATS2D_04_DLnumeric16 unique values
0 missing
piPC09numeric630 unique values
0 missing
P_VSA_LogP_5numeric391 unique values
0 missing
GATS3enumeric487 unique values
0 missing
CATS2D_03_ALnumeric23 unique values
0 missing
MATS2snumeric287 unique values
0 missing
SpMax4_Bh.s.numeric324 unique values
0 missing
CATS2D_03_DLnumeric19 unique values
0 missing
ATSC6enumeric585 unique values
0 missing
SpMax2_Bh.s.numeric79 unique values
0 missing
MPC09numeric241 unique values
0 missing
nRSRnumeric3 unique values
0 missing
JGI1numeric149 unique values
0 missing
CATS2D_04_DDnumeric3 unique values
0 missing
GATS6snumeric576 unique values
0 missing
SM14_EA.ed.numeric554 unique values
0 missing
P_VSA_i_1numeric30 unique values
0 missing
AACnumeric415 unique values
0 missing
IC0numeric415 unique values
0 missing
ARRnumeric202 unique values
0 missing
ATS7snumeric671 unique values
0 missing
Eta_Bnumeric302 unique values
0 missing
P_VSA_m_3numeric159 unique values
0 missing
SM15_EA.ed.numeric549 unique values
0 missing
N.069numeric3 unique values
0 missing
SM13_EA.ed.numeric555 unique values
0 missing
Eig04_AEA.ed.numeric451 unique values
0 missing
CATS2D_09_ALnumeric22 unique values
0 missing
CATS2D_07_LLnumeric36 unique values
0 missing
Eig04_EA.ri.numeric519 unique values
0 missing
GATS2pnumeric445 unique values
0 missing
SpMin6_Bh.v.numeric497 unique values
0 missing
X5Avnumeric55 unique values
0 missing
Eig06_AEA.dm.numeric529 unique values
0 missing
piPC07numeric606 unique values
0 missing
Eig01_AEA.ed.numeric319 unique values
0 missing
SpMax_AEA.ed.numeric319 unique values
0 missing
Eig01_EA.ri.numeric350 unique values
0 missing
SpMax_EA.ri.numeric350 unique values
0 missing
GATS1snumeric276 unique values
0 missing
Eig04_EA.ed.numeric540 unique values
0 missing
SM13_AEA.dm.numeric540 unique values
0 missing
SM02_AEA.ed.numeric234 unique values
0 missing
nSnumeric5 unique values
0 missing
GATS8vnumeric335 unique values
0 missing
X4Avnumeric87 unique values
0 missing
IVDEnumeric277 unique values
0 missing
ATS3mnumeric588 unique values
0 missing
ATS6snumeric702 unique values
0 missing
Eig01_EAnumeric338 unique values
0 missing
SM09_AEA.bo.numeric338 unique values
0 missing

62 properties

864
Number of instances (rows) of the dataset.
140
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.
139
Number of numeric attributes.
1
Number of nominal attributes.
3.35
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.16
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
3.03
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.
1.06
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.
3.62
Mean standard deviation of attributes of the numeric type.
0.97
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.
0.67
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-1.77
Minimum kurtosis among attributes of the numeric type.
-0.95
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
36.85
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
6.27
Third quartile of kurtosis among attributes of the numeric type.
105.61
Maximum of means among attributes of the numeric type.
The minimal number of distinct values among attributes of the nominal type.
99.29
Percentage of numeric attributes.
6.34
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-2.7
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.
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.
2.01
Third quartile of skewness among attributes of the numeric type.
4.46
Maximum skewness among attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
0.98
First quartile of kurtosis among attributes of the numeric type.
2.16
Third quartile of standard deviation of attributes of the numeric type.
57.05
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
0.6
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.
5.01
Mean kurtosis among attributes of the numeric type.
0.18
First quartile of skewness among attributes of the numeric type.
6.88
Mean of means among attributes of the numeric type.
0.29
First quartile of standard deviation of attributes of the numeric type.
0.17
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
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