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QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3589

QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL3589

deactivated ARFF Publicly available Visibility: public Uploaded 14-07-2016 by unknown
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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: CHEMBL3589 (TID: 10185), and it has 430 rows and 132 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.

134 features

pXC50 (target)numeric210 unique values
0 missing
molecule_id (row identifier)nominal430 unique values
0 missing
SaaNnumeric357 unique values
0 missing
C.039numeric2 unique values
0 missing
D.Dtr11numeric26 unique values
0 missing
nArCOnumeric2 unique values
0 missing
nPyrimidinesnumeric3 unique values
0 missing
nR11numeric2 unique values
0 missing
C.030numeric3 unique values
0 missing
N.075numeric6 unique values
0 missing
NaaNnumeric6 unique values
0 missing
D.Dtr07numeric27 unique values
0 missing
nR07numeric2 unique values
0 missing
SdOnumeric104 unique values
0 missing
nNnumeric8 unique values
0 missing
GATS8enumeric313 unique values
0 missing
P_VSA_e_3numeric87 unique values
0 missing
MATS8mnumeric277 unique values
0 missing
H.049numeric5 unique values
0 missing
SpMin5_Bh.s.numeric228 unique values
0 missing
D.Dtr09numeric156 unique values
0 missing
Eta_sh_xnumeric22 unique values
0 missing
SpAD_EA.dm.numeric93 unique values
0 missing
NRSnumeric4 unique values
0 missing
SpMin5_Bh.p.numeric251 unique values
0 missing
SssssCnumeric44 unique values
0 missing
MATS5mnumeric214 unique values
0 missing
SpMaxA_EA.dm.numeric82 unique values
0 missing
GATS3inumeric242 unique values
0 missing
MAXDPnumeric381 unique values
0 missing
P_VSA_i_4numeric82 unique values
0 missing
nRSRnumeric3 unique values
0 missing
NssSnumeric3 unique values
0 missing
SssSnumeric49 unique values
0 missing
C.011numeric2 unique values
0 missing
CATS2D_09_DLnumeric10 unique values
0 missing
SpMaxA_AEA.dm.numeric89 unique values
0 missing
SpMax4_Bh.i.numeric247 unique values
0 missing
CATS2D_06_ALnumeric19 unique values
0 missing
CATS2D_02_AAnumeric9 unique values
0 missing
D.Dtr05numeric204 unique values
0 missing
SssNHnumeric119 unique values
0 missing
ATS8snumeric365 unique values
0 missing
P_VSA_MR_5numeric216 unique values
0 missing
GATS2pnumeric284 unique values
0 missing
NssssCnumeric3 unique values
0 missing
SpMaxA_EA.ed.numeric147 unique values
0 missing
CATS2D_08_ALnumeric14 unique values
0 missing
JGI8numeric15 unique values
0 missing
SpDiam_AEA.ed.numeric163 unique values
0 missing
MPC09numeric189 unique values
0 missing
nCb.numeric9 unique values
0 missing
CATS2D_05_DLnumeric9 unique values
0 missing
C.034numeric3 unique values
0 missing
N.numeric95 unique values
0 missing
MATS3enumeric243 unique values
0 missing
CATS2D_07_ALnumeric21 unique values
0 missing
SaasNnumeric171 unique values
0 missing
SpMaxA_EA.ri.numeric76 unique values
0 missing
NssNHnumeric3 unique values
0 missing
Eig02_AEA.dm.numeric206 unique values
0 missing
P_VSA_s_5numeric21 unique values
0 missing
SpDiam_EA.ed.numeric156 unique values
0 missing
nCconjnumeric3 unique values
0 missing
CATS2D_06_AAnumeric6 unique values
0 missing
SpDiam_AEA.ri.numeric189 unique values
0 missing
SM11_AEA.ed.numeric246 unique values
0 missing
Eig05_AEA.dm.numeric285 unique values
0 missing
SM08_EA.ri.numeric347 unique values
0 missing
MATS5enumeric214 unique values
0 missing
GATS2vnumeric244 unique values
0 missing
SpDiam_EA.dm.numeric45 unique values
0 missing
nArNHRnumeric3 unique values
0 missing
GGI7numeric204 unique values
0 missing
SpMax2_Bh.p.numeric167 unique values
0 missing
SM15_EAnumeric256 unique values
0 missing
C.029numeric3 unique values
0 missing
ATS3snumeric333 unique values
0 missing
Eig01_EA.ed.numeric145 unique values
0 missing
SM10_AEA.dm.numeric145 unique values
0 missing
SpMax_EA.ed.numeric145 unique values
0 missing
SM04_EA.dm.numeric94 unique values
0 missing
SM14_EAnumeric248 unique values
0 missing
piPC07numeric254 unique values
0 missing
SM13_EAnumeric244 unique values
0 missing
SM12_EAnumeric251 unique values
0 missing
SM10_EAnumeric252 unique values
0 missing
GATS4pnumeric260 unique values
0 missing
SM08_AEA.ed.numeric245 unique values
0 missing
SM10_AEA.ed.numeric244 unique values
0 missing
SM04_EA.ed.numeric246 unique values
0 missing
Eig13_EA.ri.numeric243 unique values
0 missing
SM09_AEA.ed.numeric239 unique values
0 missing
NsssNnumeric5 unique values
0 missing
SM11_EAnumeric248 unique values
0 missing
JGI2numeric51 unique values
0 missing
piPC09numeric266 unique values
0 missing
SpMax4_Bh.e.numeric252 unique values
0 missing
SM02_EA.dm.numeric92 unique values
0 missing
P_VSA_s_3numeric304 unique values
0 missing
MATS3inumeric231 unique values
0 missing
SM06_EA.dm.numeric90 unique values
0 missing
SM08_EA.dm.numeric81 unique values
0 missing
SM10_EA.dm.numeric72 unique values
0 missing
SM14_EA.dm.numeric69 unique values
0 missing
MATS5vnumeric229 unique values
0 missing
Eig01_EA.dm.numeric39 unique values
0 missing
SpMax_EA.dm.numeric39 unique values
0 missing
SM15_EA.ed.numeric213 unique values
0 missing
MATS6vnumeric243 unique values
0 missing
ATSC2inumeric299 unique values
0 missing
SM12_EA.dm.numeric72 unique values
0 missing
SM09_EAnumeric245 unique values
0 missing
SpMax1_Bh.s.numeric78 unique values
0 missing
SM09_EA.ri.numeric332 unique values
0 missing
Eig13_EA.ed.numeric187 unique values
0 missing
SM08_AEA.ri.numeric187 unique values
0 missing
CATS2D_04_DLnumeric7 unique values
0 missing
ATSC1inumeric263 unique values
0 missing
CATS2D_08_DAnumeric6 unique values
0 missing
SM15_EA.ri.numeric334 unique values
0 missing
GATS5snumeric301 unique values
0 missing
RCInumeric30 unique values
0 missing
MPC10numeric196 unique values
0 missing
Eig01_EA.ri.numeric162 unique values
0 missing
SpMax_EA.ri.numeric162 unique values
0 missing
SM14_EA.ri.numeric339 unique values
0 missing
SaaaCnumeric256 unique values
0 missing
Chi1_EA.dm.numeric297 unique values
0 missing
SpMin2_Bh.s.numeric172 unique values
0 missing
CATS2D_08_DLnumeric10 unique values
0 missing
MATS8vnumeric275 unique values
0 missing
SpDiam_EA.ri.numeric176 unique values
0 missing
CATS2D_04_AAnumeric7 unique values
0 missing

62 properties

430
Number of instances (rows) of the dataset.
134
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.
133
Number of numeric attributes.
1
Number of nominal attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
99.25
Percentage of numeric attributes.
0.75
Percentage of nominal attributes.
First quartile of entropy among attributes.
-0
First quartile of kurtosis among attributes of the numeric type.
0.69
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
-0.19
First quartile of skewness among attributes of the numeric type.
0.23
First quartile of standard deviation of attributes of the numeric type.
Second quartile (Median) of entropy among attributes.
0.53
Second quartile (Median) of kurtosis among attributes of the numeric type.
2.46
Second quartile (Median) of means among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
0.44
Second quartile (Median) of skewness among attributes of the numeric type.
0.52
Second quartile (Median) of standard deviation of attributes of the numeric type.
Third quartile of entropy among attributes.
1.55
Third quartile of kurtosis among attributes of the numeric type.
8.24
Third quartile of means among attributes of the numeric type.
Third quartile of mutual information between the nominal attributes and the target attribute.
1.12
Third quartile of skewness among attributes of the numeric type.
1.54
Third quartile of standard deviation of attributes of the numeric type.
-0.01
Average class difference between consecutive instances.
7.43
Mean of means among attributes of the numeric type.
Entropy of the target attribute values.
0.31
Number of attributes divided by the number of instances.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
Percentage of instances belonging to the most frequent class.
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
44.26
Maximum kurtosis among attributes of the numeric type.
84.32
Maximum of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
3.84
Maximum skewness among attributes of the numeric type.
67.68
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
1.56
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
Average mutual information between the nominal attributes and the target attribute.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Average number of distinct values among the attributes of the nominal type.
0.48
Mean skewness among attributes of the numeric type.
3.36
Mean standard deviation of attributes of the numeric type.
Minimal entropy among attributes.
-1.91
Minimum kurtosis among attributes of the numeric type.
-0.17
Minimum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
-6.18
Minimum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.

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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